Scala Job Salaries

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

Scala

Median high-range salary for jobs requiring Scala:

$207,800

This analysis is based on salary ranges collected from 34 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 $153,500 - $207,800

25% of job descriptions advertised a maximum salary above $270,000.
5% of job descriptions advertised a maximum salary above $322,000.

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 Java, Machine Learning and Python. 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.

Java
38% jobs mention Java as a required skill. The Median Salary Range for these jobs is $185,000 - $259,000
- 25% of job descriptions advertised a maximum salary above $294,062.5.
- 5% of job descriptions advertised a maximum salary above $358,635.
Machine Learning
38% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $185,500 - $259,000
- 25% of job descriptions advertised a maximum salary above $301,750.
- 5% of job descriptions advertised a maximum salary above $358,635.
Python
68% jobs mention Python as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $294,687.5.
- 5% of job descriptions advertised a maximum salary above $337,085.
Kubernetes
50% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $175,000 - $230,000
- 25% of job descriptions advertised a maximum salary above $303,525.
- 5% of job descriptions advertised a maximum salary above $350,015.
Cloud Computing
35% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $167,500 - $228,950
- 25% of job descriptions advertised a maximum salary above $293,750.
- 5% of job descriptions advertised a maximum salary above $319,300.
Docker
35% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $165,000 - $220,300
- 25% of job descriptions advertised a maximum salary above $294,375.
- 5% of job descriptions advertised a maximum salary above $360,790.
AWS
44% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $293,750.
- 5% of job descriptions advertised a maximum salary above $354,325.
Data engineering
35% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $165,000 - $197,000
- 25% of job descriptions advertised a maximum salary above $264,500.
- 5% of job descriptions advertised a maximum salary above $293,750.
SQL
44% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $160,000 - $182,000
- 25% of job descriptions advertised a maximum salary above $257,000.
- 5% of job descriptions advertised a maximum salary above $315,250.

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 Digital Advertising, Cybersecurity 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.

Digital Advertising
3% jobs are in Digital Advertising industry. The Median Salary Range for these jobs is $260,800 - $365,100
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $185,000 - $295,000
Software Development
35% jobs are in Software Development industry. The Median Salary Range for these jobs is $180,250 - $240,000
- 25% of job descriptions advertised a maximum salary above $293,750.
- 5% of job descriptions advertised a maximum salary above $320,140.
Crypto and Web3
3% jobs are in Crypto and Web3 industry. The Median Salary Range for these jobs is $152,000 - $190,000
AdTech
3% jobs are in AdTech industry. The Median Salary Range for these jobs is $160,000 - $182,000
Cloud-native application analytics and security
3% jobs are in Cloud-native application analytics and security industry. The Median Salary Range for these jobs is $155,000 - $180,000
Data Engineering
3% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $126,100 - $168,150
Financial Services
3% jobs are in Financial Services industry. The Median Salary Range for these jobs is $140,000 - $160,000
Finance, Data Analytics
3% jobs are in Finance, Data Analytics industry. The Median Salary Range for these jobs is $120,000 - $135,000
AI Consultancy
3% jobs are in AI Consultancy industry. The Median Salary Range for these jobs is $100,000 - $120,000

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

36 jobs found. to receive daily emails with new job openings that match your preferences.

36 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Lead, Software Development (Data Technology)

Posted 1 day ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Data Technology

🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing almost 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 senior-level 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 planning and leading a team using Scrum agile methodology ensuring timely delivery and continuous improvement.
Experience liaising with various business stakeholders to understand their data requirements and convey the technical solutions.
Experience with data warehousing and data modeling best practices.
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience developing data pipelines and integrations for high volume, velocity and variety of data.
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, SQL and shell script.
Experience with various types of data stores, query engines and data frameworks, e.g. PostgreSQL, MySQL, S3, Redshift, Presto/Athena, Spark and dbt.
Experience working with message queues such as Kafka and Kinesis
Experience with ETL and pipeline orchestration such as Airflow, AWS Glue
Experience with JIRA in managing sprints and roadmaps

💡 Responsibilities

Lead development and maintenance of scalable and efficient data pipeline architecture
Work within cross-functional teams, including Data Science, Analytics, Software Development, and business units, to deliver data products and services.
Collaborate with business stakeholders and translate requirements into scalable data solutions.
Monitor and communicate project statuses while mitigating risk and resolving issues.
Work closely with the Senior Manager to align team priorities with business objectives.
Assess and prioritize the team's work, appropriately delegating to others and encouraging team ownership.
Proactively share information, actively solicit feedback, and facilitate communication, within teams and other departments.
Design, write, test, and deploy high quality scalable code.
Maintain high standards of security, reliability, scalability, performance, and quality in all delivered projects.
Contribute to shape our technical roadmap as we scale our services and build our next generation data platform.
Build, support and lead a high performance, cohesive team of developers, in close partnership with the Senior Manager, Data Analytics.
Participate in the hiring process, with an aim of attracting and hiring the best developers.
Facilitate ongoing development conversations with your team to support their learning and career growth.

AWS Leadership PostgreSQL Python Software Development SQL Agile Apache Airflow ETL MySQL SCRUM Cross-functional Team Leadership Algorithms Apache Kafka Data engineering Data Structures Spark Communication Skills Analytical Skills CI/CD Problem Solving Mentoring DevOps Written communication Coaching Scala Data visualization Team management Data modeling Data analytics Data management

Posted 1 day ago

Apply

🔥 Staff Machine Learning Engineer, Bidding and Pacing

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners is required.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
Data processing frameworks like Spark, Flink, Kafka, Druid, etc.
A cloud service provider like AWS or GCP
Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift
Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery
An machine learning modeling framework like Tensorflow or PyTorch

💡 Responsibilities

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.

AWS Docker Leadership PostgreSQL Python SQL Cloud Computing Data Analysis ElasticSearch GCP Java Kubernetes Machine Learning PyTorch Cross-functional Team Leadership Algorithms Cassandra Data Structures REST API Redis Tensorflow Scala Data modeling A/B testing

Posted 2 days ago

Apply

🔥 Director of Machine Learning

Posted 3 days ago

📍 US

💸 220000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: Inspiren👥 11-50💰 $2,720,602 over 2 years agoMachine Learning Analytics Information Technology Health Care

🔧 Requirements

8+ years of professional experience in machine learning, software engineering, or a similar domain
5+ years with machine learning algorithms, model development, and model deployment
5+ years of experience with computer vision
1+ years of experience with generative AI
5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
3+ years in advanced algorithm design and analysis
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy.
Mentor and nurture the professional growth of senior machine learning experts.
Drive innovative research and development in machine learning to keep our technology at the forefront.

Python Data Analysis Image Processing Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Scala Data modeling

Posted 3 days ago

Apply

🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🏢 Company: Upwork👥 501-1000💰 about 8 years ago🫂 Last layoff almost 2 years agoMarketplace Freelance Copywriting Peer to Peer

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWS Docker Leadership Python Software Development SQL Cloud Computing Java Kubeflow Kubernetes Machine Learning MLFlow Algorithms Data engineering Data Structures REST API Collaboration CI/CD Problem Solving Mentoring Linux DevOps Terraform Excellent communication skills Scala Data modeling

Posted 3 days ago

Apply

🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWS Docker Python Cloud Computing Java Kubernetes Machine Learning Software Architecture Algorithms Data engineering CI/CD Scala

Posted 4 days ago

Apply

🔥 Principal Software Engineer, Agentic AI (Remote)

Posted 5 days ago

📍 United States

💸 185000.0 - 295000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

6+ years of experience in leading and building SAAS and hybrid-cloud application development, at large organizations or innovative startups.
3+ years of experience with Agentic AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, Open AI etc. Experience with AI based conversational UI.
Strong programming skills in one of Python, Go, Scala or Java, with experience in building distributed systems.
Demonstrated experience in platform development (APIs, Databases, Serverless architecture) of cloud applications.
Proven expertise with algorithms, distributed systems design and the software development lifecycle.
Experience in design hybrid cloud applications with considerations of load balancing, network infrastructure and micro services architecture.
Proven ability to work effectively with remote teams.

💡 Responsibilities

Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with models
Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies. Scalability, accuracy and reliability will be key success criteria.
Collaborate with enterprise teams to integrate LLM models and deliver on committed roadmaps.
Mentor team members to build and grow expertise in this domain.
Define benchmarks with metrics to evaluate the performance of agents and Agentic frameworks
Stay up to date with the latest advancements in AI, LLM, Agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Tackle highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions aligned with technical vision and business objectives
Trouble shoot, isolate and fix issues found during various stages of software development including production.
Leverage advanced technology experience to further organizations tactical and strategic business objectives
Act as an advisor to leadership to influence AI development strategies

AWS Backend Development Docker Leadership PostgreSQL Python SQL Artificial Intelligence Cloud Computing Cybersecurity Data Analysis Java Keras Kubernetes Machine Learning Numpy PyTorch Software Architecture Algorithms API testing Data science Data Structures Go Serverless Pandas Spark Tensorflow Communication Skills CI/CD RESTful APIs Mentoring DevOps Microservices Scala SaaS

Posted 5 days ago

Apply

🔥 Sr. Data Engineer

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 126100.0 - 168150.0 USD per year

🔍 Data Engineering

🏢 Company: firstamericancareers

🔧 Requirements

5+ years of development experience with any of the following software languages: Python or Scala, and SQL (we use SQL & Python) with cloud experience (Azure preferred or AWS).
Hands-on data security and cloud security methodologies. Experience in configuration and management of data security to meet compliance and CISO security requirements.
Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment.
Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment.
Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools
Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred
Data Modeling

💡 Responsibilities

Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
Design, implement, test, deploy, and maintain distributed, stable, secure, and scalable data intensive engineering solutions and pipelines in support of data and analytics projects on the cloud, including integrating new sources of data into our central data warehouse, and moving data out to applications and other destinations.
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
Build and enhance a shared data lake that powers decision-making and model building.
Partner with teams across the business to understand their needs and develop end-to-end data solutions.
Collaborate with analysts and data scientists to perform exploratory analysis and troubleshoot issues.
Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
Build tools and processes to help make the correct data accessible to the right people.
Participate in active rotational support role for production during or after business hours supporting business continuity.
Engage in collaboration and decision making with other engineers.
Design schema and data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.
Create, maintain, and optimize database structures to efficiently store and retrieve large volumes of data.
Evaluate data trends and model simple to complex data solutions that meet day-to-day business demand and plan for future business and technological growth.
Implement data cleansing processes and oversee data quality to maintain accuracy.
Function as a key member of the team to drive development, delivery, and continuous improvement of the cloud-based enterprise data warehouse architecture.

AWS Docker Python SQL Agile Apache Airflow Cloud Computing ETL Hadoop Kubernetes Snowflake Apache Kafka Azure Data engineering Spark Scala Data visualization Data modeling Data analytics

Posted 7 days ago

Apply

🔥 Machine Learning Engineer

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 70168.0 - 176880.0 USD per year

🔍 Video Gaming

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper Tools Video Games Console Games Family MMO Games Social Network Mobile Online Games

🔧 Requirements

3+ Years of Experience in applied Data Science or Machine Learning
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes
Experience writing clean, efficient code in Python, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets

💡 Responsibilities

Complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Python SQL Data Analysis ETL GCP Kubernetes Machine Learning Numpy Algorithms Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills CI/CD Problem Solving Scala Data visualization

Posted 8 days ago

Apply

🔥 Senior Data Engineer

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 182000.0 USD per year

🔍 Adtech

🏢 Company: tvScientific👥 11-50💰 $9,400,000 Convertible Note about 1 year agoInternet Advertising

🔧 Requirements

7+ years of experience in data engineering.
Proven experience building data infrastructure using Spark with Scala.
Familiarity with data lakes, cloud warehouses, and storage formats.
Strong proficiency in AWS services.
Expertise in SQL for data manipulation and extraction.

💡 Responsibilities

Design and implement robust data infrastructure using Spark with Scala.
Collaborate with our cross-functional teams to design data solutions that meet business needs.
Build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
Leverage and optimize AWS resources.
Collaborate closely with the Data Science team.

AWS SQL Cloud Computing ETL Machine Learning Data engineering Spark Scala Data modeling

Posted 8 days ago

Apply

🔥 Sr. Backend Engineer, Product Engineering

Posted 15 days ago

📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Financial Services

🔧 Requirements

6+ years experience in software engineering
Proficiency in SQL
Experience with Scala/Java/C# is a plus
Familiarity with Docker, Kubernetes, and data analytics tools

💡 Responsibilities

Enable customers to extract insights from large datasets
Develop REST API and GraphQL endpoints
Collaborate with cross-functional teams

Backend Development GraphQL SQL REST API Microservices Scala Data visualization Data analytics

Posted 15 days ago

Apply

Shown 10 out of 36

Scala Job Salaries

Median high-range salary for jobs requiring Scala:

Skills and Salary

Java

Machine Learning

Python

Kubernetes

Cloud Computing

Docker

AWS

Data engineering

SQL

Industries and Salary

Digital Advertising

Cybersecurity

Software Development

Crypto and Web3

AdTech

Cloud-native application analytics and security

Data Engineering

Financial Services

Finance, Data Analytics

AI Consultancy

Jobs