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Azure Databricks Jobs in Washington, DC (NOW HIRING)

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$115K - $139K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

Apex Systems

RSA Databricks Consultant

Arlington, VA · On-site

Integrate Databricks solutions with AWS, Azure, and Google Cloud Platform cloud environments. * Implement data governance, security, and compliance best practices. * Utilize technologies including ...

ECS

Sr. Databricks Consultant - TS/SCI-FSP

Fairfax, VA · On-site

$175K - $250K/yr

Integrate Databricks with cloud platforms (AWS, Azure, or GCP). * Implement data governance, security, and compliance standards. * Collaborate with data scientists, analysts, and business ...

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

Align the Lakehouse security architecture with existing enterprise Azure Active Directory ... Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Washington, DC

Azure Databricks information

See Washington, DC salary details

$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for azure databricks in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

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 Azure Databricks jobs in Washington, DC?

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

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

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

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Scientist

NAVA Software Solutions

Merrifield, VA • On-site

Contractor

Re-posted 14 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Merrifield, VA(Hybrid)
Duration: 12 Months Contract
Responsibilities:
  • Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
  • Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
  • Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
  • Demonstrates a deep understanding of the modeling lifecycle
  • Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python and R
  • Advanced skill in SQL and querying (able to pull/transform your own data)
  • Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Familiar with Data Engineering concepts
  • Familiar with the use of standard ETL tools and techniques
  • Familiar with the concepts and application of data mapping and building requirements
  • Demonstrates a deep understanding of multiple data related concepts
  • Familiar with Data Integration, Data Governance and Data Warehousing
  • Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis

Desired Qualifications and Education Requirements:
All Data Scientist Roles
  • Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
  • Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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