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Contract Databricks Developer Jobs in Maryland (NOW HIRING)

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Current or recent IRS contract experience strongly preferred * 8+ years in cloud data engineering; 3-5 years hands-on Databricks (Unity Catalog, Delta Live Tables, Auto Loader, Genie) * Databricks ...

AI Engineer

Rockville, MD · On-site

$140 - $200/hr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Cloud Engineer - Mid-Level

Lanham, MD · On-site +1

$110K - $170K/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 ...

AI Engineer

Rockville, MD · On-site

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Sr. Data Engineer

Gaithersburg, MD · Remote

$123K - $148K/yr

The solution is built on the Databricks Medallion architecture, with complex business-rule logic ... Maintain technical work plans aligned to project milestones, contract deliverables, customer ...

Sr. Data Engineer

Gaithersburg, MD · On-site

$135K - $175K/yr

The solution is built on the Databricks Medallion architecture, with complex business-rule logic ... Maintain technical work plans aligned to project milestones, contract deliverables, customer ...

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

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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 the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 popular job titles related to Contract Databricks Developer jobs in Maryland?

For Contract Databricks Developer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Maryland look for?

The top searched job categories for Contract Databricks Developer jobs in Maryland are:

What cities in Maryland are hiring for Contract Databricks Developer jobs?

Cities in Maryland with the most Contract Databricks Developer job openings:

Data Engineer - Senior

Hyattsville, MD • On-site, Remote

BDR Solutions LLC
IT Services • 51 - 200 employees

$110K - $170K/yr

Full-time

Re-posted 19 days ago


Job description

Description
About us:
BDR Solutions, LLC, (BDR) supports the U.S. Federal Government in successfully achieving its mission and goals. Our service and solution delivery starts with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance business and technical operations and deployments.
(Military Veterans are highly encouraged to apply)
Role Overview:
BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ecosystem. This role leads data governance, workspace design, and end-to-end onboarding processes while ensuring compliance with federal security standards and IRS requirements. The ideal candidate brings strong technical expertise, federal experience, and the ability to partner closely with stakeholders to drive adoption and operational excellence.
Responsibilities:
  • Active MBI - mandatory; candidates in process do NOT qualify
  • Current or recent IRS contract experience strongly preferred
  • 8+ years in cloud data engineering; 3-5 years hands-on Databricks (Unity Catalog, Delta Live Tables, Auto Loader, Genie)
  • Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award
  • AWS Certified Solutions Architect or Data Engineer - Associate or Professional
  • Deep experience with medallion architecture (Bronze/Silver/Gold), Delta Lake, and CDC patterns
  • Proficiency in Python, PySpark, and SQL for enterprise pipeline development
  • Hands-on AWS: S3, IAM, VPC, CloudWatch, Glue, Athena
  • Experience with RBAC/ABAC, row-level security, PII column masking
  • Familiarity with IRS OneSDLC, FISMA, NIST 800-53, and FedRAMP High
  • Bachelor's degree in Computer Science, Information Technology, or related field

Required Minimum Qualifications:
  • Lead workspace architecture, Unity Catalog governance, and cluster policy design for IRS tenant organizations
  • Perform tenant discovery and requirements gathering, source profiling, and security classification for new data intake requests
  • Develop end-to-end technical designs for tenant onboarding including Data Sharing Agreements and SLA documentation
  • Maintain Requirements Traceability Matrix (RTM) and prepare Architecture Review Board (ARB) submissions
  • Contribute to tenant onboarding automation, financial operations integration, and ROI reporting
  • Deliver tenant training materials and facilitate weekly office hours for IRS program teams
  • Support P1/P2 incident response within SLA for tenant-related platform issues
  • Provide NIST 800-53 control evidence within 5 business days of IRS audit requests
  • Clearance Required: Minimum Background Investigation (MBI) - ACTIVE

Tools and Platforms:
  • Preferred Tools & Technologies: Terraform, GitHub Actions or Azure DevOps, Kafka/MSK, dbt, Great Expectations, Splunk/Datadog, Collibra/Alation, AWS Lake Formation, and experience with data mesh or modern data product architectures.

Clearance Required: Minimum Background Investigation (MBI) - ACTIVE
Nice to Have Qualifications:
  • Databricks Ecosystem
  • Azure DevOps or GitHub Actions
  • Experience with machine learning pipelines
  • Knowledge of data governance frameworks
  • Familiarity with real-time streaming systems
  • Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer)

In addition, U.S Citizenship is required. Select applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.
This position is contingent upon contract award. Employment is not guaranteed and will proceed only if the associated contract is awarded and funded.
The compensation range for this position is $110,000 - 170,000. Compensation decisions depend on a wide range of factors, including but not limited to location, skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.