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Remote Azure Databricks Jobs in Washington, DC (NOW HIRING)

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... Data integration / ETL processes (SQL Server, DataBricks, Azure) * Data quality and data lifecycle ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Databricks * Experience with data warehousing using AWS Redshift, MySQL, or ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Databricks * Experience with data warehousing using AWS Redshift, MySQL, or ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

SAIC

Space Protection AI Mission Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Space Protection ... g., DataBricks, AWS, Azure, GCP). * Experience with containerization technologies (Docker ...

Booz Allen Hamilton, Inc.

AI Solution Developer

Chantilly, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0229078 Location: Chantilly,VA,US Share job via: Share AI Solution ... Experience working in GCP or Microsoft Azure * Knowledge of security and compliance requirements ...

Booz Allen Hamilton, Inc.

Agentic Solutions Engineer

Mclean, VA · On-site +1

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Azure-based data lakes powered by Databricks, writing Python across notebooks, scripts, and full ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$100K/mo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms ... Background integrating LLM services with large-scale analytics environments (e.g., Databricks ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms ... Background integrating LLM services with large-scale analytics environments (e.g., Databricks ...

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Showing results 41-60

All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Washington, DC

Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

What are the most commonly searched types of Azure Databricks jobs in Washington, DC?

The most popular types of Azure Databricks jobs in Washington, DC are:

What are popular job titles related to Remote Azure Databricks jobs in Washington, DC?

For Remote Azure Databricks jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Azure Databricks jobs in Washington, DC look for?

The top searched job categories for Remote Azure Databricks jobs in Washington, DC are:

Remote Azure Databricks jobs near you

HR Data Analytics

System One

Merrifield, VA • Remote

Contractor

Re-posted 29 days ago

Job description

Job Title: HR Technical Data Steward Location: Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract (candidates must live in the US) We are looking for candidates with 5–10 years of experience in Data Governance, Data Stewardship, or Data Management, with hands-on experience supporting HR data environments, strong knowledge of Oracle HCM or PeopleSoft, experience with Azure data platforms, and expertise in metadata management, data quality, lineage, security controls, and enterprise data governance frameworks. Candidates should be comfortable partnering with both technical and business stakeholders to ensure trusted, secure, and well-governed HR data across the organization. The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security, metadata management, and technical oversight of HR data within an Azure-based data warehouse environment. This role acts as the technical authority for HR data assets, ensuring that data is properly defined, cataloged, secured, governed, and available for reporting, analytics, AI initiatives, and business decision-making. The position serves as a bridge between HR business teams, Data Governance, Data Engineering, Information Security, and Analytics teams. The Technical Data Steward is responsible for managing metadata, data lineage, data quality, data lifecycle processes, and access controls while supporting enterprise governance standards and HR reporting requirements. This role is a blend of Data Governance, Data Stewardship, Data Quality Management, Metadata & Lineage Management, Azure Data Warehousing, HR Data Analytics and Security & Compliance. The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives. Responsibilities 1. Data Governance & Standards • Implement and enforce enterprise data governance policies, standards, and procedures • Ensure execution of governance workstreams, including: o Metadata management o Enterprise quality controls o AI ready metadata o Data quality o Data lifecycle management o Policies and standards compliance • Monitor adherence to technical data standards and drive compliance across the business area 2. Data Management & Technical Oversight • Own technical data decisions on behalf of the Business Data Owner • Provide subject matter expertise on: o Source systems o Data stores and warehouses o ETL processes and pipelines o Business intelligence tools • Ensure proper implementation of data across systems and platforms 3. Metadata, Lineage & Cataloging • Build and maintain a data catalog, including metadata and business glossary • Ensure data definitions, rules, and standards are clearly documented and consistently applied • Capture and maintain data lineage (end-to-end technical flows) 4. Data Quality & Issue Resolution • Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams • Assist in design and implementation data quality audits, controls, and monitoring tools • Plan and lead data cleansing and remediation initiatives 5. Security & Risk Management • Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as: o Role-based access (RBAC) o Persona based access o Row level access o Encryption and data protection standards • Ensure data confidentiality, integrity, and availability across platforms 6. Stakeholder Collaboration • Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams • Translate business requirements into technical data solutions • Communicate impacts of data decisions across stakeholder groups Qualifications and Skill Requirements • Ability to work seamlessly and professionally across multiple business units and with all levels of the organization • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Data warehousing concepts (Azure) • Data integration / ETL processes (SQL Server, DataBricks, Azure) • Data quality and data lifecycle management • Enterprise platforms (e.g., data catalogs, BI tools, integration tools) • Data governance frameworks and best practices • Metadata management, lineage, and cataloging • Master data management (MDM) • Experience implementing data governance capabilities across an organization Desired Skills • Strong analytical and problem-solving skills • Ability to translate complex technical concepts for non-technical stakeholders • Attention to detail and commitment to data accuracy • Effective cross-functional communication and collaboration • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Regulatory and HR reporting alignment Ref: #851-Rockville-S1