Data Structures Job Salaries

Find salary information for remote positions requiring Data Structures skills. Make data-driven decisions about your career path.

Data Structures

Median high-range salary for jobs requiring Data Structures:

$211,800

This analysis is based on salary ranges collected from 154 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $160,000 - $211,800

25% of job descriptions advertised a maximum salary above $255,000.
5% of job descriptions advertised a maximum salary above $328,400.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Python, AWS and Communication Skills. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Python
56% jobs mention Python as a required skill. The Median Salary Range for these jobs is $166,250 - $227,850
- 25% of job descriptions advertised a maximum salary above $269,125.
- 5% of job descriptions advertised a maximum salary above $372,530.
AWS
56% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $170,000 - $227,250
- 25% of job descriptions advertised a maximum salary above $256,500.
- 5% of job descriptions advertised a maximum salary above $335,980.
Communication Skills
45% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $169,000 - $227,250
- 25% of job descriptions advertised a maximum salary above $265,500.
- 5% of job descriptions advertised a maximum salary above $367,510.
Backend Development
47% jobs mention Backend Development as a required skill. The Median Salary Range for these jobs is $168,235.5 - $226,125
- 25% of job descriptions advertised a maximum salary above $256,500.
- 5% of job descriptions advertised a maximum salary above $404,680.
Algorithms
84% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $162,400 - $220,000
- 25% of job descriptions advertised a maximum salary above $257,125.
- 5% of job descriptions advertised a maximum salary above $337,146.7.
Kubernetes
47% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $164,100 - $218,700
- 25% of job descriptions advertised a maximum salary above $256,500.
- 5% of job descriptions advertised a maximum salary above $307,590.
SQL
65% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $162,162.5 - $215,000
- 25% of job descriptions advertised a maximum salary above $255,750.
- 5% of job descriptions advertised a maximum salary above $332,860.
REST API
51% jobs mention REST API as a required skill. The Median Salary Range for these jobs is $165,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $251,875.
- 5% of job descriptions advertised a maximum salary above $315,700.
CI/CD
56% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $160,000 - $210,600
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $313,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include AI, Computer Vision, Machine Learning, Health tech and Cybersecurity. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

AI, Computer Vision, Machine Learning
1% jobs are in AI, Computer Vision, Machine Learning industry. The Median Salary Range for these jobs is $185,000 - $300,000
Health tech
2% jobs are in Health tech industry. The Median Salary Range for these jobs is $200,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $269,500.
- 5% of job descriptions advertised a maximum salary above $276,000.
Cybersecurity
1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $145,000 - $235,000
- 25% of job descriptions advertised a maximum salary above $255,000.
Software Development
58% jobs are in Software Development industry. The Median Salary Range for these jobs is $167,735.5 - $225,000
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $365,000.
Healthcare Technology
3% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $172,400 - $222,250
- 25% of job descriptions advertised a maximum salary above $228,000.
- 5% of job descriptions advertised a maximum salary above $230,000.
Cloud software development
1% jobs are in Cloud software development industry. The Median Salary Range for these jobs is $173,375 - $217,000
- 25% of job descriptions advertised a maximum salary above $227,850.
Life Sciences
1% jobs are in Life Sciences industry. The Median Salary Range for these jobs is $167,500 - $197,500
- 25% of job descriptions advertised a maximum salary above $215,000.
Healthcare
2% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $244,250.
- 5% of job descriptions advertised a maximum salary above $264,000.
Oncology
1% jobs are in Oncology industry. The Median Salary Range for these jobs is $124,350 - $155,450
- 25% of job descriptions advertised a maximum salary above $183,600.
Artificial Intelligence
5% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $54,000 - $67,000
- 25% of job descriptions advertised a maximum salary above $212,500.
- 5% of job descriptions advertised a maximum salary above $275,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Site Reliability Engineer

Posted 42 minutes ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted 42 minutes ago

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🔥 Senior Software Developer, Data Technology

Posted about 5 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 5 hours ago

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 5 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

Posted about 5 hours ago

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🔥 ML Manager, Software Engineering (Decisions and Pricing Engineering EU)

Posted about 5 hours ago

📍 Spain

🧭 Full-Time

💸 101000.0 - 131000.0 EUR per year

🔍 Fintech

🔧 Requirements

Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
Expertise in developing machine learning models and systems at scale, from concept through to business impact.
Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
Comfortability with ambiguity and self-awareness to understand and navigate the unknown
Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
Excellent written and verbal English communication skills.

💡 Responsibilities

Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
There would be an on-call rotation for this role as a requirement.

AWS Leadership Python SQL Data Analysis Full Stack Development Machine Learning Algorithms Data Structures Spark Data modeling

Posted about 5 hours ago

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🔥 Senior Software Engineer, Structure

Posted about 6 hours ago

📍 United States, Canada

🧭 Full-Time

💸 132050.0 - 207100.0 USD per year

🔍 Software Development

🔧 Requirements

5+ years of experience shipping features and products, with a focus on web frameworks and products
Familiar with Node.js, React, TypeScript, GraphQL, AWS Lambdas, framework development, and server-rendering complex React applications at scale
Can debug production issues across services and multiple levels of the stack

💡 Responsibilities

Collaborate with designers, PMs, and engineers to plan and build product capabilities that enable our ambitious visual development goals
Build, document, and test production code that impacts all Webflow customers
Participate in all engineering activities including technical designing and implementation, testing and validation, releasing new capabilities, incident response, and interviewing
Solve problems in a highly technical platform that empowers hundreds of thousands of people
Tackle complex technical challenges on a collaborative and geographically distributed team

GraphQL Node.js Software Development Full Stack Development React.js TypeScript Algorithms Data Structures REST API React Communication Skills CI/CD Problem Solving Agile methodologies Data modeling Debugging

Posted about 6 hours ago

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🔥 Software Engineer, Fullstack

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Fullstory

🔧 Requirements

Understanding of data structures and API design to enable functionality across services.
Experience collaborating with others to reach technical decisions through clear communication and documentation.
Proficiency in writing production code in one or more languages such as Go, Java, Python, JavaScript, or TypeScript — with a willingness to learn new languages.
Experience building web applications using React, TypeScript, or similar front end technologies.
Exposure to cloud-based services and an eagerness to learn technologies like Kubernetes, gRPC, document search databases, or distributed data storage systems.
Bachelor's degree in Computer Science or a related field.

💡 Responsibilities

Collaborate with teammates to craft the strategy and execution for scaling Fullstory’s flagship application.
Ideate with our core team on how to best leverage AI capabilities to further customer delight.
Engineer systems that operate at hundreds of thousands of requests per second.
Maintain and troubleshoot parts of Fullstory’s production environment.
Work closely with design and product counterparts to propose new solutions for customer pain points.
Work closely with customers through our co-creation process, collaborating to craft purpose-built solutions that meet their unique needs and drive exceptional value.

Backend Development Python Software Development Agile Cloud Computing Frontend Development Full Stack Development Java Javascript Kubernetes React.js TypeScript API testing Data Structures Go gRPC REST API Communication Skills Analytical Skills CI/CD Problem Solving Customer service DevOps Software Engineering

Posted about 7 hours ago

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🔥 Bank Credit Risk Analyst Senior - Retail Banking

Posted about 9 hours ago

📍 United States

🧭 Full-Time

💸 120550.0 - 230400.0 USD per year

🔍 Retail Banking

🏢 Company: USAAJOBSWD

🔧 Requirements

6 years of experience in an analytical field or work focused on leading analytical projects, advanced analytics, risk assessments or bank credit risk data
Experience in financial analysis activities to support risk strategy.
Strong understanding of banking regulations, risk, and/or compliance.
Advanced presentation and communication skills.
Advanced knowledge of Microsoft Office products, particularly Excel, Word, and PowerPoint.
Advanced knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (E.g., SPS or Visual Basic).
Knowledge of federal laws, rules, regulations, and applicable guidance to include: FCRA, Reg B, UDAAP/UDAP, OCC Heightened Standards, OCC CREDIT RISK GUIDANCE.

💡 Responsibilities

Applies industry leading practices and analytical skills to identify risks and opportunities within the handled portfolio and translates results into strategic solutions with the delivery of credit risk strategies.
Applies critical thinking skills to synthesize analyses, identify root causes, and develop clear and concise recommendations to drive credit risk strategy development and influence senior decision makers.
Partners to deliver Bank credit risk strategies across lines of defense by effectively developing and improving complex analytical frameworks, analyzing data and processes, and clearly communicating insights/recommendations to key partners and leadership.
Analyzes internal and external scores/data for use in identifying first party fraud.
Applies industry knowledge and driven benchmarking to advise credit strategy development.
Uses advanced and nuanced quantitative analysis based upon internal and external data sources to bring structure and clarity to ambiguous and exciting problems.
Develops, handles, and presents comprehensive risk and financial reporting in support of senior management and committee oversight of existing and emerging risks and escalates the quality and direction of credit performance to appropriate levels of management.
Designs and performs complex financial risk sensitivity analysis.
Builds and handles credit strategy infrastructure and ensures credit strategies are implemented as intended.
Applies expert programming and analytical techniques to analyze credit data.
Provides thought leadership, coaching, and mentoring to team members regarding analytics and risk management.
Collaborates with key partners to guide & facilitate teams in the development and implementation of key initiatives.
Applies analytically derived insights to develop strategic plans with significant impact to business results.
Coaches and mentors other analysts and acts as a leader with vision within the analyst community.
Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Python SQL Data Analysis SAS EG Algorithms Data Structures REST API Regression testing Communication Skills Analytical Skills Microsoft Excel Problem Solving Attention to detail Presentation skills Written communication Compliance Reporting Risk Management Data visualization Financial analysis Analytical thinking Data modeling Data analytics Data management

Posted about 9 hours ago

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🔥 Principal Software Engineer - Ops Cloud Platform

Posted about 9 hours ago

📍 Canada

🧭 Full-Time

💸 177000.0 - 263000.0 CAD per year

🔍 Software Development

🏢 Company: PagerDuty👥 1001-5000💰 $350,000,000 Post-IPO Debt over 1 year ago🫂 Last layoff about 2 years agoIT Management Cloud Computing SaaS Analytics Information Technology Software

🔧 Requirements

At least 12 years of demonstrated hands-on experience in software engineering, architecture, and design at leading SaaS companies.
Proven record of delivering enterprise-scale platforms and driving significant technical change across multiple teams or domains.
Deep expertise in backend architectures, including microservices, APIs, and cloud-native technologies.
Proficiency in modern programming languages (e.g., Java, Go, Python, Elixir, Ruby, or similar), strong foundations in distributed systems, security practices, and cost-effective scaling strategies.
Proven ability to define and communicate a long-term technical roadmap that impacts business strategy.
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse engineering teams.

💡 Responsibilities

Define and articulate the long-range technical roadmaps and architecture for our core SaaS platform.
Develop, prototype, and implement complex, scalable solutions in collaboration with cross-team leaders across our Authentication and Authorization, Monetization and Entitlements, the Developer Ecosystem and Public APIs, and Account and Admin Experience teams.
Evaluate new technologies and design innovative solutions that drive platform evolution over a 3–5 year horizon.
Act as a technical leader and consultant across multiple teams, breaking down ambiguous problems and translating them into effective engineering solutions.
Foster a culture of collaboration by mentoring engineers, facilitating technical discussions, and ensuring that design decisions are clearly articulated across the teams.
Oversee and contribute to the technical design and evolving architecture of critical systems.
Ensure that designs meet rigorous standards in coding, reliability, scalability, security, and cost efficiency.
Provide guidance on technical decisions that align with short-term project needs and long-term strategic goals.
Serve as a technical resource for high-impact projects and complex problem-solving.
Coach and mentor Senior and Staff engineers, establishing development standards and fostering a learning environment.
Work closely with Product Managers, Engineering Managers, and other stakeholders to prioritize engineering initiatives that align with overall business objectives, including customer experience, cost optimization, and operational excellence.
Ensure that each team’s roadmap is harmonized with the overarching technical vision.
Lead efforts to evaluate emerging technologies and create prototypes that address complex challenges within our platform.
Use data-driven approaches to validate architectural ideas and measure their impact on system performance and customer success.

AWS Backend Development Leadership Python Software Development SQL Cloud Computing Design Patterns Java Kubernetes Ruby Software Architecture Cross-functional Team Leadership Data Structures Go Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring DevOps Terraform Microservices JSON SaaS

Posted about 9 hours ago

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🔥 Engineering Manager (Claims Platform)

Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 198050.0 - 233000.0 USD per year

🔍 Health Tech

🔧 Requirements

3+ years of experience as an Engineering Manager
3-5+ years of experience as a Software Engineer
Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
Strong technical foundation
Strong product mindset
Track record of working well across teams and functions
Prior experience with Python and React (Nice to have)
Experience working with AWS infrastructure (Nice to have)
Experience in health tech, building user-facing products (Nice to have)
BS, MS in Computer Science or related field

💡 Responsibilities

Lead and manage a team (or teams) of 8+ engineers
Ensure there is process and product alignment across your team
Develop and grow your team through weekly 1-1s, mentorship, and feedback
Work with and help develop aspiring engineering leaders within the engineering team
Contribute to the broader company strategy and product roadmap
Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWS Backend Development Docker Leadership PostgreSQL Project Management Python Cloud Computing Data Analysis Kafka People Management Product Management React.js TypeScript Cross-functional Team Leadership Algorithms Data Structures FastAPI REST API Redis Strategic Management React Spark Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies Mentoring Relationship building Team management Software Engineering Debugging

Posted about 20 hours ago

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🔥 Staff Software Engineer, Backend (Remote)

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 216000.0 - 264000.0 USD per year

🔍 Healthcare

🏢 Company: Machinify👥 51-100💰 $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business Intelligence Predictive Analytics SaaS Machine Learning Analytics

🔧 Requirements

10+ years of backend focused experience in the field of application programming
Strong working experience with Java or Scala
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
Working experience writing SQL queries
Additional Python and C# or other backend languages are a plus
Strong CS foundation (data structures, asynchronous programming)
Excellences in test writing discipline
Critical thinking and problem solving skills working in a high growth environment
Comfortable navigating ambiguity
BS or MS in Computer Science (or equivalent experience)

💡 Responsibilities

Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products.
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
Deliver resilient enterprise software solutions

AWS Backend Development Docker Leadership Project Management SQL Design Patterns Git Java Kubernetes Machine Learning Software Architecture Spring Boot Algorithms Data Structures Java Spring REST API Communication Skills CI/CD Problem Solving RESTful APIs Microservices Critical thinking Scala Software Engineering

Posted 1 day ago

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Shown 10 out of 203

Data Structures Job Salaries

Median high-range salary for jobs requiring Data Structures:

Skills and Salary

Python

AWS

Communication Skills

Backend Development

Algorithms

Kubernetes

SQL

REST API

CI/CD

Industries and Salary

AI, Computer Vision, Machine Learning

Health tech

Cybersecurity

Software Development

Healthcare Technology

Cloud software development

Life Sciences

Healthcare

Oncology

Artificial Intelligence

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