Data engineering Job Salaries

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

Data engineering

Median high-range salary for jobs requiring Data Engineering:

$205,000

This analysis is based on salary ranges collected from 231 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 - $205,000

25% of job descriptions advertised a maximum salary above $242,250.
5% of job descriptions advertised a maximum salary above $309,695.

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 Machine Learning, Communication Skills and Cloud Computing. 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.

Machine Learning
37% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $165,686 - $225,000
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $311,000.
Communication Skills
32% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $165,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $249,250.
- 5% of job descriptions advertised a maximum salary above $311,143.75.
Cloud Computing
31% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $158,750 - $205,688
- 25% of job descriptions advertised a maximum salary above $243,500.
- 5% of job descriptions advertised a maximum salary above $299,375.
AWS
48% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $203,000
- 25% of job descriptions advertised a maximum salary above $246,000.
- 5% of job descriptions advertised a maximum salary above $309,695.
SQL
77% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,900.
- 5% of job descriptions advertised a maximum salary above $310,991.25.
Python
74% jobs mention Python as a required skill. The Median Salary Range for these jobs is $159,550 - $200,000
- 25% of job descriptions advertised a maximum salary above $234,000.
- 5% of job descriptions advertised a maximum salary above $300,000.
ETL
45% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $150,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $229,000.
- 5% of job descriptions advertised a maximum salary above $284,260.
Data modeling
44% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $150,000 - $191,300
- 25% of job descriptions advertised a maximum salary above $230,275.5.
- 5% of job descriptions advertised a maximum salary above $310,686.25.
Data visualization
32% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $145,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $223,713.75.
- 5% of job descriptions advertised a maximum salary above $288,500.

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 Data and AI, Data/AI and Software Development. 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.

Data and AI
1% jobs are in Data and AI industry. The Median Salary Range for these jobs is $134,700 - $258,300
- 25% of job descriptions advertised a maximum salary above $289,575.
- 5% of job descriptions advertised a maximum salary above $300,000.
Data/AI
1% jobs are in Data/AI industry. The Median Salary Range for these jobs is $123,000 - $235,900
Software Development
31% jobs are in Software Development industry. The Median Salary Range for these jobs is $167,471 - $218,000
- 25% of job descriptions advertised a maximum salary above $255,500.
- 5% of job descriptions advertised a maximum salary above $310,000.
Fintech
2% jobs are in Fintech industry. The Median Salary Range for these jobs is $176,000 - $213,000
- 25% of job descriptions advertised a maximum salary above $231,250.
- 5% of job descriptions advertised a maximum salary above $235,000.
Cybersecurity
1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $204,000.
- 5% of job descriptions advertised a maximum salary above $207,000.
Healthcare
4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $208,750.
- 5% of job descriptions advertised a maximum salary above $260,590.
Mental Health
3% jobs are in Mental Health industry. The Median Salary Range for these jobs is $131,414 - $180,000
- 25% of job descriptions advertised a maximum salary above $197,100.
- 5% of job descriptions advertised a maximum salary above $215,000.
Data Engineering
2% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $130,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $229,750.
- 5% of job descriptions advertised a maximum salary above $259,000.
Legal Services
2% jobs are in Legal Services industry. The Median Salary Range for these jobs is $102,500 - $160,000
- 25% of job descriptions advertised a maximum salary above $179,500.
- 5% of job descriptions advertised a maximum salary above $199,000.
Data Analytics
1% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $130,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $271,143.75.
- 5% of job descriptions advertised a maximum salary above $311,525.

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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🔥 Statistics Engineer

Posted 21 minutes ago

📍 United States

🧭 Full-Time

💸 220000.0 - 265000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

🔧 Requirements

5+ years of experience utilizing this skillset in a data, SaaS, or similar technology company
Able to implement probabilistic techniques into a reusable statistical libraries, including bootstrapping, statistical tests, and ML models / regressions
Can build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques
Can architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces

💡 Responsibilities

Implement probabilistic techniques into a reusable statistical libraries, including bootstrapping, statistical tests, and ML models / regressions
Build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques
Architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces

Python SQL Data Analysis Data engineering Software Engineering A/B testing

Posted 21 minutes ago

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🔥 Senior/Staff Software Engineer - Backend

Posted 21 minutes ago

📍 United States, Europe

🧭 Full-Time

💸 180000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

🔧 Requirements

Experience with OLAP SQL queries and processing
Expertise with software engineering practices like test coverage and CI/CD workflows
Experience with Nest.js (Typescript)

💡 Responsibilities

Building and maintaining backend APIs that power internal and external systems alike
Write backend software using Nest.js (Typescript) to power AirFlow tasks and our front-end API

Backend Development Software Development SQL Apache Airflow Cloud Computing Snowflake TypeScript API testing Data engineering REST API Nest.js CI/CD Data modeling NodeJS Software Engineering

Posted 21 minutes ago

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🔥 AI Strategist - Digital Velocity

Posted about 4 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

🔧 Requirements

Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
Previous direct customer consulting experience or equivalent understanding of role responsibilities
Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
Understanding of prompt engineering best practices
High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
Comprehensive understanding of agile development paradigms
Demonstrated ability to speak to business value of AI solutions
Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
Ability to understand, remember, and apply oral and/or written instructions or other information.
Ability to organize thoughts and ideas into understandable terminology.
Ability to multitask, organize and prioritize.
Ability to apply common sense while engaging with customers and providing solutions.
Ability to understand and follow complex instructions and guidelines.
Previous consulting experience a plus

💡 Responsibilities

Accurately design and scope AI professional services engagements.
Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
Coaches and mentors team members to improve their technical, consulting, and sales skills.
Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
Serves in the customer escalation path for technical problem resolution.
Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
Advises team members and sales prior to customer calls and/or sales strategy sessions.
Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
Develops presentation content for the team.
Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
Shares best practices and tactics for enhancing profitability and closing deals.
Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWS Project Management Python SQL Agile Artificial Intelligence Cloud Computing Data Analysis GCP Kubernetes Machine Learning Salesforce API testing Azure Data engineering Prometheus REST API Communication Skills CI/CD Mentoring DevOps Terraform Presentation skills Microservices JSON Data visualization Strategic thinking Data modeling Data management

Posted about 4 hours ago

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🔥 Cloud Data Engineer (Mid-Level) - (25031301)

Posted about 5 hours ago

📍 United States

🧭 Contract

💸 91520.0 - 120000.0 USD per year

🏢 Company: Third Eye Software👥 11-50 Consulting Information Technology Recruiting Software

🔧 Requirements

3+ years of experience in data engineering
Advanced expertise in SQL
Experience with Google Cloud Platform (GCP)
Hands-on experience with ETL/ELT processes and data pipeline development
Proficiency in Python

💡 Responsibilities

NOT STATED

Python SQL ETL GCP Jenkins Numpy Data engineering Pandas

Posted about 5 hours ago

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🔥 Early Career Product Analyst, Supply Chain & Logistics

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 84800.0 - 106000.0 USD per year

🔍 Supply Chain & Logistics

🔧 Requirements

BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
Experience in data engineering or a technical role with a heavy focus on SQL for data analysis, ETL design, and providing actionable insights, particularly in operational and supply chain contexts.
Expertise in SQL-based data manipulation, with extensive experience in scripting, extracting large datasets, and designing complex ETL workflows.
Demonstrated ability to closely collaborate with business, product, engineering, research, and design teams to influence and inform decision-making throughout the product lifecycle.
Proficiency in creating and managing dashboards using Looker, Tableau, or similar BI tools.
Deep passion for addressing real user problems through data-driven solutions.

💡 Responsibilities

Perform in-depth analyses using a variety of analytical and statistical measurement techniques to drive key product and business decisions
Partner with our Product and Engineering teams to automate operational processes
Optimize driver planning by building operation models
Provide insights on driver hiring strategy, performance, and retention
Perform growth and expansion analyses through demand forecasting and inventory planning
Identify opportunities and quantify impact of product launches through experimentation and measurement
Architect and build production data models that elevate data-driven decisioning
Provide clean, transformed data ready for analysis
Maintain data documentation and definitions
Define and apply best practices for data modeling and DWH architecture design
Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations
Recommend solutions that drive meaningful impact for our patients and partners
Measure impact of the initiatives launched using various analytical and statistical techniques to drive further improvements
Influence product strategy and drive roadmaps through insights and recommendations
Contribute to defining our team and company data culture through peer collaboration, coaching, and input into the team processes we adopt as we grow the Analytics team together

AWS SQL Business Intelligence Data Analysis ETL Tableau Product Analytics Algorithms Data engineering Data Structures Communication Skills Analytical Skills Collaboration Problem Solving Data visualization Data modeling

Posted about 5 hours ago

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🔥 Staff Software Engineer

Posted about 15 hours ago

📍 United States

💸 240000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: dbt Labs👥 251-500💰 $222,000,000 Series D about 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Open Source Big Data Analytics Information Technology Software

🔧 Requirements

Worked asynchronously as part of a fully remote, international, distributed team
Have experience using Python and Node to create scalable full-stack applications (e.g., building services for applications with complex workflows)
Enjoy collaborating closely with product management partners
Have worked with Elasticsearch or other search platforms
Have experience scaling and designing complex data models
Can make informed trade-offs to ship useful features promptly without compromising long-term quality

💡 Responsibilities

Mentor teammates and serve as a technical lead
Design and implement scalable, reliable, and highly available system
Align the team's architectural vision with broader company-wide architectural goals.
Balance trade-offs, set priorities, and manage deliverables using your project completion expertise
Foster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practices
Establish and uphold quality standards to enhance overall service reliability
Participate in daily stand-ups, mentoring sessions, and pair programming

AWS Backend Development Node.js PostgreSQL Python Software Development SQL ElasticSearch Full Stack Development API testing Data engineering RESTful APIs Microservices Data modeling

Posted about 15 hours ago

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🔥 Senior Cloud Engineer, ML Platform

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: GameChanger

🔧 Requirements

4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.

💡 Responsibilities

Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWS Docker Python Apache Airflow Cloud Computing Git Keras Kubernetes Machine Learning MLFlow Numpy Algorithms API testing Data engineering Data Structures REST API Serverless Pandas Spark Tensorflow CI/CD Linux Terraform Microservices JSON

Posted about 16 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 180000.0 - 235000.0 USD per year

🔍 Fintech

🏢 Company: Found

🔧 Requirements

6+ years in Data Science or Machine Learning
Expertise with Python/R and SQL.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Proven track record of developing and deploying successful machine learning models in a production environment.

💡 Responsibilities

Design, develop, and deploy machine learning models to identify fraudulent activity, unlock things like higher limits for good users, and decision on transactions.
Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML.
Communicate complex machine learning concepts and results to both technical and non-technical stakeholders.
Research novel techniques and best practices to parse large, diverse data sets.
Contribute to the development of best practices, standards, and frameworks for machine learning at Found.
Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence.

AWS Python SQL Machine Learning Algorithms Data engineering Data science Communication Skills Collaboration Mentoring

Posted about 16 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 17 hours ago

📍 Canada

🧭 Full-Time

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing about 7 years ago🫂 Last layoff about 2 years agoDigital Marketing Social Media Marketing Social Media Management Apps

🔧 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 Bash Cloud Computing Data Analysis ETL Git Java Kafka MySQL Data engineering Go Serverless Nosql Spark CI/CD RESTful APIs Scala Data visualization Data modeling Scripting Data management

Posted about 17 hours ago

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🔥 Senior Software Developer, Data Technology

Posted 1 day 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 1 day ago

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Shown 10 out of 267

Data engineering Job Salaries

Median high-range salary for jobs requiring Data Engineering:

Skills and Salary

Machine Learning

Communication Skills

Cloud Computing

AWS

SQL

Python

ETL

Data modeling

Data visualization

Industries and Salary

Data and AI

Data/AI

Software Development

Fintech

Cybersecurity

Healthcare

Mental Health

Data Engineering

Legal Services

Data Analytics

Jobs