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Contract Databricks Developer Jobs in Virginia (NOW HIRING)

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

Citizenship required due to federal contract requirements. * Ability to obtain and maintain a ... and DevOps practices using Terraform for IaC. * Emergency management domain knowledge a plus

Richmond, VA or Des Moines, IA (Hybrid, 1-2 days onsite) Employment Type: Long-Term Contract About ... Support cloud-based data initiatives (Azure and Databricks) * Promote self-service analytics for ...

JAVA Developer

Mclean, VA · On-site

$52.25 - $67.75/hr

McLean, VA (5 days - Onsite) Duration: 6+ months of Contract with ext. Local candidate only from ... Database technologies such as SQL Server, Snowflake, and Databricks * Strong coding and performance ...

Software Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

McLean, VA (5 days - Onsite) Duration: 6+ months of Contract with ext. Local candidate only from ... Relational Databases * Snowflake / Databricks / SQL Server * 1-2 years of experience with ...

Positions are contingent pending contract award. Place of Performance: The work will be performed ... Databricks Certified Apache Spark Developer.

Senior DevOps Engineer - (US - Remote)

Reston, VA · Remote

$135K - $173K/yr

Manage and optimize Databricks clusters, ensuring high availability, performance, and security ... S. citizenship is required for this position due to government contract and security requirements ...

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Virginia? The most popular types of Databricks Developer jobs in Virginia are:
What are popular job titles related to Contract Databricks Developer jobs in Virginia? For Contract Databricks Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Virginia look for? The top searched job categories for Contract Databricks Developer jobs in Virginia are:
What cities in Virginia are hiring for Contract Databricks Developer jobs? Cities in Virginia with the most Contract Databricks Developer job openings:
Senior Platform Engineer - Databricks Integration

Senior Platform Engineer - Databricks Integration

ECS Limited

Falls Church, VA • On-site

$111K - $153K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Platform Engineer – Databricks Integration

Everforth ECS is seeking a Senior Platform Engineer – Databricks Integration to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. This position is contingent upon contract award.

The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.

The Senior Platform Engineer – Databricks Integration provides senior-level technical leadership for the integration and operational advancement of Databricks capabilities across WDP's full multi-enclave architecture, spanning Unclassified/NIPRNet, Secret/SIPRNet, and Top Secret/JWICS environments. This role is central to enabling high-performance distributed data processing, MLOps maturity, and mission-aligned data exploitation in direct support of WDP Core Integration objectives.

Leads the integration, configuration, and operational advancement of Databricks platform capabilities supporting War Data Platform (WDP) Core Integration mission requirements across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.

Designs distributed data pipeline architectures that ingest, transform, and process high-volume structured and unstructured data using Databricks Workflows, Delta Lake storage patterns, Unity Catalog governance rules, and medallion-layered data modeling aligned with enterprise architecture objectives.

Implements MLOps frameworks using Databricks Model Registry, Feature Store, and automated training pipelines to strengthen machine learning reproducibility, deployment readiness, and mission analytics responsiveness.

Optimizes Databricks cluster performance, auto-scaling behaviors, job concurrency, and cloud cost allocations using monitoring utilities, workload metrics dashboards, and predictive capacity planning.

Integrates the Databricks environment with existing WDP Core Integration platform components including API gateways, cross-domain data movement tools, orchestration systems, data governance platforms, and enclave security controls.

Conducts technical assessments of emerging commercial and open-source technologies and leads structured tool evaluations to determine suitability for integration into the WDP Core Integration ecosystem.

Provides senior-level engineering mentorship to data engineers, analytic developers, and artificial intelligence teams, raising maturity in distributed computing practices, performance tuning, and data security.

Produces architectural diagrams, integration guides, performance reports, and compliance documentation that advance platform interoperability, scalability, and mission-aligned data exploitation capabilities.

Performs other duties as assigned.

Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).

10 or more years of progressive experience in platform or data engineering, with demonstrated hands-on expertise designing and operating Databricks environments at enterprise scale, including Delta Lake, Unity Catalog, Databricks Workflows, Model Registry, and Feature Store.

Proven experience architecting and deploying distributed data pipelines and MLOps workflows across multi-enclave or multi-classification environments, with working knowledge of cross-domain data movement constraints and enclave security controls.

Demonstrated experience integrating Databricks with complementary platform components such as API gateways, workflow orchestration tools, data governance platforms, and cloud-native storage solutions in AWS GovCloud or equivalent classified cloud environments.

Experience operating within DoW-compliant DevSecOps frameworks, including the use of CI/CD pipelines, Infrastructure-as-Code (IaC), and agile development methodologies to deliver platform capabilities in iterative, mission-driven release cycles.

Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.

Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).