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Data Engineer Sponsorship Jobs in Washington (NOW HIRING)

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... S. indefinitely without sponsorship * Ability to obtain a public trust Preferred Qualification

Data Engineer

Fairfax, VA ยท On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... S. indefinitely without sponsorship * Ability to obtain a public trust Preferred Qualification

Data Engineer

Washington, DC ยท On-site

$126K - $152K/yr

Ability to work in the United States without sponsorship Preferred Qualifications and Core Competencies: * Azure Data Engineer Associate Certification or equivalent cloud certification highly desired

New

Data Engineer

Fairfax, VA ยท On-site

$130 - $155/hr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... S. indefinitely without sponsorship * Ability to obtain a public trust Preferred Qualification

Principal Data Engineer

Vienna, VA ยท On-site

$114K - $138K/yr

Applicants must be authorized to work in the United States without the need for current or future sponsorship. The Principal Data Engineer will provide senior-level engineering expertise ...

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Senior Data Engineer

Vienna, VA ยท On-site

$106K - $144K/yr

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU ...

New

Senior Data Engineer

Vienna, VA ยท On-site

$106K - $144K/yr

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... The Senior Data Engineer is an experienced technical lead responsible for accelerating NFCU ...

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SQL Data Engineer

Centreville, VA ยท Remote

$125K - $140K/yr

This position is not eligible for sponsorship . The SQL Data Engineer will be responsible for investigating, remediating, migrating, and validating production data across enterprise-scale systems.

Data Engineer II

Washington, DC ยท On-site

$129K - $155K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Data Engineer II

Rosslyn, VA ยท On-site

$130K - $156K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Data Engineer II

Rosslyn, VA ยท On-site

$130K - $156K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Data Engineer II

Mclean, VA ยท On-site

$115K - $139K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Data Engineer II

Mclean, VA ยท On-site

$115K - $139K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Data Engineer II

Washington, DC

$129K - $155K/yr

Must be legally authorized to work in the United States without the need for employer sponsorship ... Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ...

Snowflake Data Engineer

Washington, DC ยท On-site

$150K - $190K/yr

We are unable to provide sponsorship or transfer a visa for this position. Our client is one of the ... Engineering * Build and support data pipelines orchestrated through Airflow * Develop and maintain ...

Data Engineer (Databricks Experience)

Mclean, VA ยท On-site

$116K - $139K/yr

They are seeking a highly skilled Senior Data Engineer to design, implement, and maintain data ... S. must possess work authorization which does not require sponsorship by the employer for a visa.

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Showing results 1-20

Data Engineer Sponsorship information

What is a data engineer sponsorship?

A Data Engineer Sponsorship refers to a job opportunity where an employer is willing to sponsor a work visa for a data engineering candidate, often for international professionals seeking to work in a new country. Data engineers in these roles design, build, and maintain data systems, pipelines, and architectures that enable companies to store, process, and analyze large volumes of data. Sponsorship can include assistance with visa applications, legal paperwork, and sometimes relocation support. These positions are common in countries with high demand for tech talent, such as the United States, United Kingdom, and Canada. Employers seek skilled data engineers who are proficient in programming, data warehousing, and big data technologies.

How does a data engineer working in a sponsorship-focused role typically collaborate with marketing and business development teams?

Data Engineers in sponsorship-driven environments often work closely with marketing and business development teams to design and maintain data pipelines that track sponsorship performance and audience engagement. This collaboration involves translating business requirements into technical solutions, ensuring data quality, and providing insights that help optimize sponsorship strategies. You can expect to participate in cross-functional meetings, support campaign analytics, and contribute to dashboards and reports that inform decision-making. Effective communication and a strong understanding of both data infrastructure and business goals are crucial for success in this role.

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

To thrive as a Data Engineer, you need a solid background in computer science, proficiency in programming languages like Python or Java, and expertise in database management, often supported by a degree in a related field. Experience with big data tools (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers excel in collaborating with cross-functional teams. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and enabling data-driven decision-making in organizations.

What is the difference between Data Engineer Sponsorship vs Data Scientist Sponsorship?

AspectData Engineer SponsorshipData Scientist Sponsorship
Required CredentialsBachelor's or higher in CS, Engineering, or related fields; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData pipelines, ETL processes, cloud platformsStatistical analysis, model development, data visualization
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

Both roles often require similar educational backgrounds and certifications, and they frequently work within the same industries. The main difference lies in their focus: Data Engineers build and maintain data infrastructure, while Data Scientists analyze data to generate insights. Sponsorship opportunities are common for both roles, especially for international candidates seeking work visas.

What job categories do people searching Data Engineer Sponsorship jobs in Washington look for?

The top searched job categories for Data Engineer Sponsorship jobs in Washington are:

What cities in Washington are hiring for Data Engineer Sponsorship jobs?

Cities in Washington with the most Data Engineer Sponsorship job openings:

Infographic showing various Data Engineer Sponsorship job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution.

Data Engineer

Prometheus Federal Services

Fairfax, VA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


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".

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