Relomote
Remote JobsRelocation Jobs
Add companySaved
Relomote

Relomote is a job board for remote, hybrid, and relocation jobs — every listing AI-classified for the countries it actually hires from, or the visa and relocation support it offers.

LinkedInCrunchbase

Remote jobs by category

  • Remote Engineering & Development jobs
  • Remote Customer Support jobs
  • Remote Design jobs
  • Remote Marketing jobs
  • Remote Sales jobs
  • Remote Product jobs
  • Remote Data & Analytics jobs
  • Remote People & Talent jobs
  • Remote Writing & Content Creation jobs
  • Remote Finance jobs
  • Remote Legal & Compliance jobs
  • Remote Operations & Admin jobs
  • Remote Data Entry jobs
  • Remote Virtual Assistant jobs
  • Remote Education/Training jobs
  • Remote Healthcare/Clinical jobs
  • Remote Other jobs

Remote jobs by location

  • Work from anywhere jobs
  • Remote jobs in Africa
  • Remote jobs in Asia
  • Remote jobs in Europe
  • Remote jobs in Latin America
  • Remote jobs in Middle East
  • Remote jobs in North America
  • Remote jobs in Oceania
  • All remote jobs →

Relocation & visa sponsorship

  • Visa sponsorship jobs
  • Relocation package jobs
  • Relocate to Europe
  • Relocate to Germany
  • Relocate to Netherlands
  • Relocate to Spain
  • Relocate to Portugal
  • Relocate to Greece
  • Relocate to United Kingdom
  • Relocate to Canada
  • Relocate to Australia
  • Relocate to Sweden
  • Relocate to Switzerland
  • Relocate to Japan
  • Relocate to United Arab Emirates
  • All relocation jobs →

© 2026 RelomoteAboutPrivacyTerms

Contact [email protected] · Built by Mahmoud

Relomote
Remote JobsRelocation Jobs
Add companySaved
Prometheus Federal Services logo

Data Engineer

Prometheus Federal Services
Posted 5 hours ago
🇺🇸United States🏠Remote💰$130.0K–$155.0K📁Data & Analytics
Is this job info correct?

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 [email protected]. 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".

Similar jobs

Similar jobs

DwyerOmega logo

Director, Data Engineering

DwyerOmega

🇺🇸United States4 hours ago
Carrington logo

Senior, Data Engineer

Carrington

🇺🇸United States4 hours ago
Firstam logo

Senior Data Engineer

Firstam

🇺🇸United States4 hours ago
Confidential Selectquoteinc logo

Data Engineer III

Confidential Selectquoteinc

🇺🇸United States5 hours ago
Thehartford logo

Associate Data and AI Engineer

Thehartford

🇺🇸United States5 hours ago
GE

(New College Graduate) Associate AI & Data Engineering Engineer

Generalmotors

🇺🇸United States5 hours ago