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Scala Developer Remote Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... or Scala * 2+ years of experience with PostgreSQL or Kafka * Experience with AWS services

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data ... Scala * Experience with PostgreSQL or Kafka * Experience with AWS services * Experience with ...

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Proficiency in programming languages such as Python, Java, or Scala for data engineering and ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245992 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience with Python, SQL, Scala, or Java * Experience building scalable ETL and ELT workflows ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243464 Location: McLean,VA,US Share job via: Share Data Engineer ... Experience with Python, SQL, Scala, or Java * Experience with UNIX or Linux, including basic ...

Booz Allen Hamilton, Inc.

Data Architect, Lead

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0241251 Location: Chantilly,VA,US Share job via: Share Data Architect ... You Have: * 10+ years of experience in data analytics, data architecture, or data engineering * 5+ ...

Excella

Lead Consultant Data Scientist

Arlington, VA · On-site +1

Lead Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... Familiarity with DevOps Research and Assessment (DORA) and its application in analytics. 

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All JobsScala Developer JobsScala Developer Remote JobsScala Developer Remote Jobs in Virginia

Scala Developer Remote information

See Virginia salary details

$39.7K

$128.2K

$157.1K

How much do scala developer remote jobs pay per year?

As of Aug 10, 2026, the average yearly pay for scala developer remote in Virginia is $128,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $155,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scala developer remote?

To thrive as a Scala Developer Remote, you need expertise in Scala programming, functional programming concepts, and a solid understanding of distributed systems or microservices architecture, often supported by a degree in computer science or a related field. Familiarity with development tools like sbt, Git, continuous integration systems, and experience with frameworks such as Akka, Play, or Spark is commonly required. Excellent problem-solving skills, self-motivation, effective communication, and the ability to collaborate virtually are key soft skills for remote work success. These skills and qualities are crucial for maintaining productivity, delivering high-quality code, and integrating seamlessly within remote development teams.

What is a Scala developer remote?

A Scala Developer Remote job involves designing, developing, and maintaining applications using the Scala programming language while working from a remote location. Responsibilities typically include writing functional and scalable code, optimizing performance, and collaborating with teams using tools like Akka, Play Framework, and Spark. These roles often require experience in functional programming, distributed systems, and backend development. Remote Scala developers must also be proficient in communication and collaboration tools to work effectively with teams across different locations.

How much do Scala developers make in the US?

Scala developers in the US typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior developers with expertise in distributed systems and functional programming may earn higher salaries, especially in tech hubs or companies requiring advanced knowledge of tools like Akka or Spark.

What are some typical challenges faced by remote Scala developers, and how can they be overcome?

Remote Scala Developers often face challenges related to communication across distributed teams, managing time zones, and staying current with evolving technologies. Building strong rapport with colleagues through regular video calls and active participation in team channels can help bridge communication gaps. Setting clear work routines, using collaborative project management tools, and engaging in continual learning (such as taking online courses or attending virtual meetups) can make remote work more productive and fulfilling. By proactively addressing these challenges, remote Scala Developers can contribute effectively and continue advancing in their careers.

Are Scala developers in demand?

Scala developers are in high demand due to the language's use in big data, distributed systems, and backend development, especially with frameworks like Apache Spark. Companies seek professionals skilled in functional programming, JVM environments, and related tools, leading to strong job growth in this field.
What are popular job titles related to Scala Developer Remote jobs in Virginia? For Scala Developer Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Scala Developer Remote jobs in Virginia look for? The top searched job categories for Scala Developer Remote jobs in Virginia are:
What cities in Virginia are hiring for Scala Developer Remote jobs? Cities in Virginia with the most Scala Developer Remote job openings:
Scala Developer Remote jobs near you
Infographic showing various Scala Developer Remote job openings in Virginia as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $128,239 per year, or $61.7 per hour.

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 20 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics

    • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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