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Remote Data Engineering Jobs in Washington, DC (NOW HIRING)

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

System One

AWS Cloud Data Engineer

Mclean, VA · Remote

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

HelioCampus

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

IT Labs

Lead Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Collaborate with business stakeholders, analysts, and engineering teams to translate business ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Minimum seven (7) years of data engineering experience. * Strong SQL development skills.

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Washington, DC

Remote Data Engineering information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do remote data engineering jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote data engineering in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Washington, DC? The most popular types of Data Engineering jobs in Washington, DC are:
What are popular job titles related to Remote Data Engineering jobs in Washington, DC? For Remote Data Engineering jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Washington, DC look for? The top searched job categories for Remote Data Engineering jobs in Washington, DC are:
Remote Data Engineering jobs near you
AWS Cloud Data Engineer

AWS Cloud Data Engineer

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

Job description

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
  • Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
  • Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
  • Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
  • Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
  • Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
  • Ability to obtain a Federal Public Trust clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
  • Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
  • Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
  • Proficiency in Python, Scala, or Java for data processing and pipeline development.
  • Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
  • Understanding of data modeling concepts for transactional and analytical workloads.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
  • AWS Certified Data Engineer – Associate certification.
  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
  • Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
  • Familiarity with Git and collaborative development practices.
  • Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
  • Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
  • Understanding of data privacy regulations and compliance frameworks.
  • Experience tuning and optimizing distributed data processing systems.
  • Knowledge of networking, security, and IAM policies related to data engineering workflows.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CD1 Ref: #851-Rockville-S1

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