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Remote Big Data Jobs in Washington (NOW HIRING)

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Develop and optimize big data workflows using Apache Spark and Hadoop technologies. Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Develop and optimize big data workflows using Apache Spark and Hadoop technologies. Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. * Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift. * Knowledge of ETL ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Experience with Databricks, Apache Spark, PySpark, or similar big data technologies. * Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift. * Knowledge of ETL ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early ...

Data Engineer

Bethesda, MD · Remote

$117K - $140K/yr

Previous hands-on experience integrating systems with big data / data lake repositories using ETL tools * Experience with technologies such as Microsoft SQL Server, Amazon Redshift, Dbeaver, Visual ...

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

Previous hands-on experience integratingsystems with big data / data lake repositories using ETL tools * Experience with technologies such as Microsoft SQL Server, Amazon Redshift, Dbeaver, Visual ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Big data tools: Databricks, Apache Spark, Delta Lake, etc. * Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). * Data pipeline and workflow management tools: Databricks Workflows ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Big data tools: Databricks, Apache Spark, Delta Lake, etc. * Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). * Data pipeline and workflow management tools: Databricks Workflows ...

Showing results 41-60

Remote Big Data information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do remote big data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote big data in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What are the most commonly searched types of Big Data jobs in Washington?

The most popular types of Big Data jobs in Washington are:

What cities in Washington are hiring for Remote Big Data jobs?

Cities in Washington with the most Remote Big Data job openings:

Data Engineer / Integration Specialist #1768469

Network Designs

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

About NDi:

Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.

Job Description:

We are seeking a Data Engineer / Integration Specialist to support data modernization and interoperability initiatives for the VA under T4NG2. This role focuses on building data pipelines, enabling system integration, and supporting enterprise data exchange.
This position is critical to improving data accessibility, interoperability, and decision-making across VA systems.

Requirements:

  • U.S. Citizenship is required
  • Must be able to obtain a Public Trust clearance.
  • This position is primarily remote; however, must be able to come on-site in Washington, DC, as required.

Qualifications and Experience:

  • Bachelor degree in Computer Science or related
  • Minimum of ten (10) years of relevant experience
  • Certifications in data engineering or cloud platforms are preferred
  • Experience with ETL tools and data pipeline development
  • Proficiency in SQL and programming languages (Python, Java)
  • Experience with APIs, microservices, and middleware
  • Knowledge of data modeling and architecture
  • Experience with event-driven and streaming data architectures (e.g., Kafka, Kinesis, SQS/SNS)
  • Experience integrating with VA Lighthouse APIs or enterprise API gateway platforms
  • Knowledge of FHIR-based APIs and real-time healthcare data exchange patterns (not just HL7/FHIR formats)
  • Experience working in AWS GovCloud environments
  • Familiarity with cloud-native data services (e.g., S3, Glue, Lambda, RDS, Redshift, Kinesis)
  • Experience with data governance, lineage, and data quality frameworks
  • Understanding of data security and privacy controls in regulated environments (PII/PHI, FISMA/FedRAMP)
  • Experience with API-first integration patterns and microservices-based data access
  • Experience supporting legacy system integration (mainframe or monolith modernization)
  • Familiarity with containerized data services (Docker/Kubernetes)

Preferred Qualifications:

  • Experience with healthcare data (HL7, FHIR)
  • Experience supporting federal or VA data systems
  • Knowledge of big data technologies (Spark, Hadoop)

Responsibilities:

  • Design and develop data pipelines and ETL processes
  • Build and maintain APIs and integration services
  • Support data migration, transformation, and standardization
  • Ensure interoperability across systems and platforms
  • Work with structured and unstructured data sources
  • Optimize data performance and reliability
  • Collaborate with analytics and application teams

Why This Role Matters:

Data Engineers enable the VA to unlock the value of its data, improving interoperability, analytics, and outcomes for Veteran services.

Compensation and Benefits:

At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.

Veterans First Commitment:

As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.

Commitment to Diversity:

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!