Data Science Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's data science engineer job market is anchored by federal agencies, defense contractors, and policy-focused think tanks, with major employers including Booz Allen Hamilton, Leidos, and Palantir consistently hiring for technical roles. The region's concentration of government-adjacent work means many positions involve security clearances alongside visa sponsorship considerations.
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Get Access To All JobsINTRODUCTION
Works with the Data Platform team on the design, build, and optimization of the Databricks ecosystem, including Fivetran ingestion and dbt transformation pipelines. Ensures scalable, reliable compute environments, seamless AWS integration, and automated deployments using Terraform and GitHub Actions. This role is focused on developing new capabilities in machine learning, advanced analytics, and unified data pipelines.
KEY RESPONSIBILITIES
- Design, deploy, and optimize Databricks workspaces and clusters on AWS to support data science and modeling workloads.
- Manage Fivetran connectors and dbt projects for end-to-end data ingestion, transformation, and orchestration across Databricks, S3, and Snowflake.
- Automate infrastructure provisioning and configuration using Terraform integrated with GitHub Actions.
- Architect and implement high availability (HA) and disaster recovery (DR) strategies, including cross-region replication and failover.
- Implement job orchestration, cluster policies, autoscaling, and CI/CD workflows for notebooks, models, and releases.
- Establish monitoring and alerting for cost, usage, pipeline health, data freshness, and compliance using tools such as Datadog.
- Collaborate with platform segments and security teams to enforce governance, tagging, rightsizing, SLAs, and audit readiness.
- Develop and maintain Unity Catalog for governance, lineage, and secure data sharing across platforms.
- Build and maintain MLflow integrations for model lifecycle management, experimentation tracking, and deployment.
BASIC QUALIFICATIONS
- Deep expertise in Databricks administration, cluster management, job scheduling, Unity Catalog, Fivetran, and dbt (Core/Cloud).
- Proficiency in Terraform, GitHub Actions, and Python/PySpark for automation.
- Strong knowledge of AWS services, including EKS, ECS, IAM, S3, VPC networking, and CloudWatch.
- Experience in pipeline reliability engineering, cost optimization, ML CI/CD, HA/DR design, and observability.
INTRODUCTION
Works with the Data Platform team on the design, build, and optimization of the Databricks ecosystem, including Fivetran ingestion and dbt transformation pipelines. Ensures scalable, reliable compute environments, seamless AWS integration, and automated deployments using Terraform and GitHub Actions. This role is focused on developing new capabilities in machine learning, advanced analytics, and unified data pipelines.
KEY RESPONSIBILITIES
- Design, deploy, and optimize Databricks workspaces and clusters on AWS to support data science and modeling workloads.
- Manage Fivetran connectors and dbt projects for end-to-end data ingestion, transformation, and orchestration across Databricks, S3, and Snowflake.
- Automate infrastructure provisioning and configuration using Terraform integrated with GitHub Actions.
- Architect and implement high availability (HA) and disaster recovery (DR) strategies, including cross-region replication and failover.
- Implement job orchestration, cluster policies, autoscaling, and CI/CD workflows for notebooks, models, and releases.
- Establish monitoring and alerting for cost, usage, pipeline health, data freshness, and compliance using tools such as Datadog.
- Collaborate with platform segments and security teams to enforce governance, tagging, rightsizing, SLAs, and audit readiness.
- Develop and maintain Unity Catalog for governance, lineage, and secure data sharing across platforms.
- Build and maintain MLflow integrations for model lifecycle management, experimentation tracking, and deployment.
BASIC QUALIFICATIONS
- Deep expertise in Databricks administration, cluster management, job scheduling, Unity Catalog, Fivetran, and dbt (Core/Cloud).
- Proficiency in Terraform, GitHub Actions, and Python/PySpark for automation.
- Strong knowledge of AWS services, including EKS, ECS, IAM, S3, VPC networking, and CloudWatch.
- Experience in pipeline reliability engineering, cost optimization, ML CI/CD, HA/DR design, and observability.
Data Science Engineer Job Roles in Washington DC
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Search Data Science Engineer Jobs in Washington DCData Science Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Washington DC?
Booz Allen Hamilton, Leidos, SAIC, Palantir, and Deloitte are among the most active sponsors of data science engineers in the DC area. Large technology and consulting firms with federal contracts regularly file H-1B petitions for these roles. Government contractors dominate the local market, though some commercial tech employers and research institutions also sponsor qualified candidates.
Which visa types are most common for data science engineer roles in Washington DC?
The H-1B is the most common visa for data science engineers in DC, given that the role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates from Australia may qualify for the E-3 visa. Those with Indian or Chinese nationality often face longer wait times on employment-based green card paths due to per-country backlogs.
How to find data science engineer visa sponsorship jobs in Washington DC?
Migrate Mate is designed specifically for international candidates seeking visa sponsorship roles, including data science engineer positions in Washington DC. You can filter by location and role to surface employers who have a documented history of sponsoring work visas. This is more targeted than general job searches because it focuses on sponsorship-confirmed opportunities, which is especially useful in DC's contractor-heavy market where sponsorship policies vary by contract type.
Which areas in Washington DC have the most data science engineer sponsorship jobs?
Most sponsorship-eligible data science engineer roles cluster in the DC metro corridor rather than the city proper, with Northern Virginia cities like Arlington, McLean, and Tysons Corner hosting a high concentration of federal contractors. Bethesda and Rockville in Maryland are also significant hubs, particularly for health-focused data roles tied to NIH and adjacent research organizations. Remote-hybrid roles attached to DC-area headquarters are increasingly common.
Are there any DC-specific considerations for data science engineers seeking visa sponsorship?
Security clearance eligibility is a meaningful factor in the DC market. Many federal contractor roles require at least a Secret clearance, and non-US citizens on work visas are generally ineligible for clearances, which can narrow the available positions. Candidates should focus on commercial-side roles within contractors, private sector firms, or research institutions. Universities like Georgetown and George Washington also generate a pipeline of candidates and occasionally sponsor OPT-to-H-1B transitions for data engineering talent.
What is the prevailing wage for sponsored data science engineer jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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