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Contract Databricks Developer Jobs in Washington, DC

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... involving Databricks, Apache Spark, Apache Airflow, Apache Kafka, Unity Catalog, and identity ...

Positions are contingent pending contract award. Place of Performance: The work will be performed ... Databricks Certified Data Engineer Associate. * Databricks Certified Data Engineer Professional.

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... Databricks, Spark, Python, SQL, and Apache Airflow to enable mission analytics for Combatant ...

Create scalable and reusable training pipelines using Databricks notebooks and MLflow ... Experience with AWS-based data infrastructure and related DevOps practices. * Demonstrated ability ...

Cloud Engineer - Mid-Level

Herndon, VA · Remote

$130K - $180K/yr

Current or recent IRS contract experience strongly preferred * 7+ years of hands-on AWS cloud ... Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ...

Cloud Engineer - Mid-Level

Lanham, MD · Remote

$130K - $180K/yr

Current or recent IRS contract experience strongly preferred * 7+ years of hands-on AWS cloud ... Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ...

USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning ... Knowledge of big data technologies (Spark, Hadoop, Databricks). * Background in NLP, computer ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow ... Experience with AWS-based data infrastructure and related DevOps practices. * Demonstrated ability ...

Cloud Engineer - Mid-Level

Lanham, MD · On-site +1

$130K - $180K/yr

Current or recent IRS contract experience strongly preferred * 7+ years of hands-on AWS cloud ... Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ...

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Contract Databricks Developer information

See Washington, DC salary details

$23

$69

$90

How much do contract databricks developer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for contract databricks developer in Washington, DC is $69.64, according to ZipRecruiter salary data. Most workers in this role earn between $62.60 and $77.07 per hour, depending on experience, location, and employer.

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 popular job titles related to Contract Databricks Developer jobs in Washington, DC? For Contract Databricks Developer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Washington, DC look for? The top searched job categories for Contract Databricks Developer jobs in Washington, DC are:
Big Data Engineer Senior

$64.25 - $85/hr

Full-time

Posted 17 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services


Job description

Job Description
SAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI platform. Roles include managing customer relationships, service portfolio and catalog management, software engineering & development, data/AI engineering, IT systems operations, and use case intake and analytics for DoW enterprise-scale mission objectives expected in Spring/Summer 2026.
Positions are contingent pending contract award.
Place of Performance: The work will be performed in Arlington, Virginia. Some work may be performed remotely, subject to Government approval.
Job Responsibilities:
  • Design, build, and maintain the core WDP data infrastructure and pipelines using agentic workflows to streamline operations and enhance automation.
  • Ensure the scalability, reliability, and security of the platform to support data ingestion, processing, storage, and transformation for various consumers, including data tooling teams.
  • Build and operate data pipelines and Lakehouse solutions leveraging AWS (e.g., S3, Glue, Lake Formation, EMR, Kinesis, Redshift, Athena, Lambda, IAM) and Databricks (e.g., Delta Lake, Unity Catalog, Delta Live Tables, Apache Spark) within an AWS GovCloud environment.
  • Develop enterprise data products accessible via a modern data marketplace, implement a medallion architecture for data storage (bronze, silver, gold zones), and establish self-service inbound and outbound data connection methods.
  • Implement data quality monitoring tools, proactive alerting for pipeline issues, and data drift detection mechanisms.
  • Enforce data security policies, optimize infrastructure for performance and scalability, ensure data backup and recovery, and implement robust data governance policies.
  • Document pipelines, models, and governance standards while ensuring compliance with data privacy and security regulations.
  • Design and develop solutions to complex applications problems, system administration issues, or network concerns.
  • Perform systems management and integration functions.

Qualifications
  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • TS/SCI Clearance is required.
  • Required Certification: CompTIA Security+ (CE).

Knowledge, Skills, Abilities, and Competencies:
  • Data Architecture & Engineering
    • Expertise in data architecture and medallion data storage frameworks (bronze, silver, gold zones).
    • Proficiency in developing and managing enterprise data products and marketplaces.
    • Hands-on experience designing and operating enterprise data platforms using AWS (S3, Glue, Lake Formation, EMR, Redshift, Kinesis, Athena, Lambda, IAM) for data lake/medallion storage, ingestion, ETL, and governance.
    • Proven experience building and managing data pipelines on the Databricks Lakehouse Platform, including Delta Lake (medallion architecture), Unity Catalog (governance, lineage, access control), and Delta Live Tables for declarative pipeline development and data quality enforcement.
    • Proficiency with Apache Spark (PySpark/Scala/SQL) for large-scale data processing and transformation.
  • Data Quality & Governance
    • Ability to implement and maintain data quality monitoring tools, including proactive alerting and data drift detection (e.g., DLT expectations, Lakehouse Monitoring).
    • Knowledge of data backup, recovery, and robust governance protocols.
    • Skill in documenting data pipelines, models, and governance standards.
    • Familiarity with compliance requirements for data privacy and security regulations.
  • Security & Infrastructure
    • Strong understanding of data security policies and practices, including encryption (KMS), least-privilege IAM, and secure networking constructs.
    • Familiarity with deploying and operating workloads within AWS GovCloud (US) and DoD security boundaries (IL4-IL6).
    • Experience optimizing infrastructure for performance and scalability.
    • Familiarity with Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation for repeatable, secure provisioning.
  • Soft Skills
    • Effective communication and collaboration skills for cross-functional teamwork.
    • Analytical and problem-solving abilities for troubleshooting and resolving technical challenges.
  • Preferred Certifications
    • The following certifications are considered a plus:
    • AWS
      • AWS Certified Data Engineer - Associate.
      • AWS Certified Solutions Architect - Associate or Professional.
      • AWS Certified Security - Specialty.
    • Databricks
      • Databricks Certified Data Engineer Associate.
      • Databricks Certified Data Engineer Professional.
      • Databricks Certified Apache Spark Developer.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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