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Contractual Azure Databricks Jobs (NOW HIRING)

AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

... contractual discussions and operational efforts. * Oversees third party technology partners ... Strong knowledge of Azure Data Factory and Databricks for data integration and analytics support ...

New

... contractual obligations, or company policies. Any such changes will be communicated in advance ... Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.

... contractual obligations, or company policies. Any such changes will be communicated in advance ... Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Cloud platforms (AWS, Azure, GCP) and hybrid integration. * Cloud networking, identity, security ... AI/ML platforms and big data ecosystems (e.g., Hadoop, Databricks). * ITIL processes, agile ...

Client Success Managers ensure client needs and expectations are aligned; contractual obligations ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

Client Success Managers ensure client needs and expectations are aligned; contractual obligations ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

Client Success Managers ensure client needs and expectations are aligned; contractual obligations ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

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Contractual Azure Databricks information

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$58

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How much do contractual azure databricks jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for contractual azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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

AspectContractual Azure DatabricksData Engineer
CredentialsAzure certifications, Spark, SQLData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, project-specific contractsVaried, including cloud and on-premises environments
Employer & Industry UsageConsulting firms, tech companies, project-based rolesTech companies, finance, healthcare, often permanent or contract roles

Contractual Azure Databricks professionals focus on implementing and managing data solutions on the Azure platform for specific projects, often on a contractual basis. Data Engineers build and maintain data pipelines across various environments. While both roles require cloud and data processing skills, Contractual Azure Databricks specialists are more platform-specific, whereas Data Engineers have broader responsibilities across data architecture and engineering tasks.

More about Contractual Azure Databricks jobs
What cities are hiring for Contractual Azure Databricks jobs? Cities with the most Contractual Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Contractual Azure Databricks jobs? States with the most job openings for Contractual Azure Databricks jobs include:
What job categories do people searching Contractual Azure Databricks jobs look for? The top searched job categories for Contractual Azure Databricks jobs are:
Infographic showing various Contractual Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Senior Data Scientist with Security Clearance

Senior Data Scientist with Security Clearance

steampunk

Fairfax, VA • On-site

$120K - $180K/yr

Other

Re-posted 6 days ago


Job description

Overview We are seeking a Senior Data Scientist to lead the design, development, and deployment of advanced analytical models and machine learning solutions that drive mission and business impact. This role requires deep expertise in statistical modeling, feature engineering, ML experimentation, and applied problem solving. The Senior Data Scientist will lead project workstreams, guide modeling strategy, mentor junior team members, and partner with engineering, product, and mission stakeholders to translate analytical insights into actionable outcomes. Contributions * Lead end-to-end development of predictive and analytical models, including problem framing, hypothesis development, data exploration, feature engineering, model training, and model evaluation. * Architect and implement advanced ML techniques such as ensemble models, deep learning, natural language processing, time-series models, or anomaly detection as appropriate for mission needs. * Conduct rigorous model diagnostics, error analysis, and explainability studies to ensure reliability, fairness, and transparency. * Collaborate with Data Engineers and MLOps/LLMOps teams to operationalize models, including pipeline automation, monitoring, drift detection, and retraining strategies. * Translate complex model outputs into clear insights, stories, and recommendations for technical and non-technical audiences, including executives and mission stakeholders. * Partner with cross-functional teams-including product, UX, and domain SMEs-to define requirements, refine model behavior, and incorporate human-centered design principles into analytical workflows. * Lead experimentation cycles, evaluating new modeling approaches, algorithms, and data sources to continuously improve solution performance. * Ensure high-quality, reproducible work through documentation, code reviews, version control, experiment tracking, and adherence to engineering best practices. * Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution. * Stay current on modern machine learning techniques, cloud-native analytics tools, and emerging trends in data science to shape strategy and elevate team capabilities. * You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications * Ability to hold a position of public trust with the U.S. government. * Bachelors Degree and 5 years of experience * OR Masters Degree and 3 years of experience * OR no degree and 9 years of experience * 4+ years of experience designing, building, and deploying machine learning or advanced analytics solutions. * Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on experience in deep learning or advanced ML frameworks (e.g., PyTorch, TensorFlow, XGBoost). * Proven ability to lead data science workstreams and mentor junior practitioners. * Experience using SQL and working with structured, semi-structured, or unstructured datasets at scale. * Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML development environments (Databricks, SageMaker, Azure ML Studio). * Strong grounding in statistics, probability, experimental design, and model validation methodologies. * Effective communication skills with the ability to explain highly technical concepts to non-technical audiences. * Experience collaborating with product teams, engineers, and mission stakeholders to define and deliver data-driven solutions. * Understanding of responsible AI principles, including fairness, explainability, bias mitigation, and reproducibility. * Preferred certifications: AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional. About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $120,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.