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Flex Schedule Remote Data Engineer Jobs in Virginia

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Implement workflow orchestration, scheduling, and monitoring to ensure reliable, automated data ...

New

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Showing results 21-40

Flex Schedule Remote Data Engineer information

What is a flex schedule remote data engineer?

A Flex Schedule Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and systems while working remotely with flexible working hours. Unlike traditional roles that require set office hours, this position allows employees to choose when they work, as long as they meet deadlines and project requirements. The role typically involves tasks such as data pipeline development, database management, and collaboration with other teams, all performed from a remote location.

How does a flex schedule impact collaboration and communication for remote data engineers?

Working as a remote Data Engineer with a flexible schedule allows you to tailor your working hours, but it also means that proactive communication is essential. You'll often collaborate with team members in different time zones, so clear documentation and regular updates via project management tools become crucial. Many teams address these challenges by scheduling core overlapping hours for meetings and using asynchronous communication channels like Slack or email. This setup supports both individual productivity and effective teamwork, but requires strong self-management and responsiveness to ensure projects remain on track.

What are the key skills and qualifications needed to thrive as a flex schedule remote data engineer, and why are they important?

To thrive as a Flex Schedule Remote Data Engineer, you need a strong background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like Python or SQL. Familiarity with cloud platforms (e.g., AWS, Azure, GCP), big data tools (such as Spark or Hadoop), and certifications in cloud or data engineering are highly valued. Excellent time management, self-motivation, and communication skills are crucial for effective remote collaboration and meeting project deadlines. These competencies ensure you can independently build robust data pipelines and collaborate seamlessly across distributed teams.

What job categories do people searching Flex Schedule Remote Data Engineer jobs in Virginia look for?

The top searched job categories for Flex Schedule Remote Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Flex Schedule Remote Data Engineer jobs?

Cities in Virginia with the most Flex Schedule Remote Data Engineer job openings:

$130K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are exploring the addition of an experienced Data Engineer to support the Department of Veterans Affairs (VA) programs. The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and database administration (DBA) best practices, including performance tuning, indexing strategies, and data integrity management. This role will design, optimize, and maintain scalable data pipelines and databases across on-prem and cloud environments to support analytics, reporting, and operational decision-making across VA programs. The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility, quality, and operational efficiency.
Essential Duties and Responsibilities
  • Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
  • Implement workflow orchestration, scheduling, and monitoring to ensure reliable, automated data delivery.
  • Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage data integrity across data pipelines
  • Optimize data ingestion, transformation, and storage for performance, cost, and maintainability.
  • Administer and optimize relational databases (e.g., SQL Server, Azure SQL, PostgreSQL), perform database performance tuning, indexing, query optimization, and capacity planning.
  • Implement and maintain database security, access controls, and auditing in alignment with VA security and privacy requirements.
  • Support backup/restore strategies, disaster recovery planning, and high-availability configurations.
  • Monitor database health, troubleshoot issues, and ensure data integrity across environments. Support troubleshooting, root-cause analysis, and continuous improvement of data engineering and DBA processes.
  • Implement automated data quality checks, validation rules, and anomaly detection routines.
  • Develop monitoring dashboards and alerting mechanisms to proactively identify data issues.
  • Support data profiling, lineage tracking, and metadata management to improve transparency and trust in data assets.
  • Collaborate with stakeholders to define quality thresholds and acceptance criteria, translating VA stakeholder needs into scalable, repeatable data engineering and database solutions.
Minimum Qualifications
  • Bachelor's degree
  • 5+ years of experience in data engineering, ETL/ELT development, or database administration.
  • Strong proficiency in SQL, Python, PySpark, Spark, and Databricks for data ingestion, cleaning, and transformation, including performance tuning, indexing, and query optimization.
  • Experience administering and optimizing relational databases in production environments.
  • Experience working across VA platforms and enterprise data assets.
  • Experience implementing automated data pipelines and data quality monitoring frameworks.
  • Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage, Azure SQL)
  • Experience with GitHub, GitLab, and GitHub Actions.
  • Authorized to work in the U.S. indefinitely without sponsorship
  • Ability to obtain a public trust
Preferred Qualification
  • Experience building data pipelines and architectures to manage ingest, integration, and data product development for large-scale unstructured datasets (PDFs, documents) across multiple source systems
  • Experience working with data platforms and processing tools, including Databricks and Spark
  • Experience migrating legacy and on-premises data and systems to cloud environments
  • Experience developing data products through a medallion architecture
  • Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices
  • Amazon or Azure cloud certifications

Compensation & Benefits
PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.
The posted salary range is the company's good-faith estimate for this role. PFS benefits and compensation are determined by various factors, including, but not limited to, location; the individual's particular combination of education, knowledge, skills, competencies, and experience; as well as contract and organizational requirements.
Salary Range: $130,000 - $155,000
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.
Accommodations
PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@pfs.us. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.
Workplace Health, Safety, and Compliance
This position may be subject to client-specific or government-mandated vaccination, health, or safety requirements, which may change over time.
Texting Privacy Policy and Information:
  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".