1

Temporary Databricks Data Engineer Jobs (NOW HIRING)

Databricks Data Engineer

Manassas, VA · On-site

$114.50K - $137.50K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Databricks Data Engineer

Manassas, VA

$114.50K - $137.50K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Databricks Data Engineer

Manassas, VA

$114.50K - $137.50K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Databricks Data Engineer

Marlborough, NH · On-site

$113.20K - $136K/yr

This role is for a Databricks Data Engineer with experience in designing, developing, and deploying robust, scalable batch and streaming data pipelines using PySpark, Spark SQL, and Delta Live Tables.

Databricks Data Engineer

Vienna, VA

$114.90K - $138K/yr

Who we are looking for We are seeking a Databricks Data Engineer for a full-time position supporting our various clients We are committed to your growth and success in the IT software development ...

Databricks Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

We are seeking a hands-on Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. Key Responsibilities: * Design, develop, and deploy scalable ETL/ELT data ...

Sr Databricks Data Engineer

Arlington, VA · On-site

$120.20K - $165.10K/yr

Share this job: Share: Share Sr Databricks Data Engineer with Facebook Share Sr Databricks Data Engineer with LinkedIn Share Sr Databricks Data Engineer with Twitter Caution against fraudulent job ...

Databricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

POSITION SUMMARY We are seeking an experienced Data Engineer specializing in Databricks platform for a 6-month contract position based in Seattle, WA. This role focuses on designing, building, and ...

Sr Databricks Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Databricks Data Engineer

Boulder, CO · On-site

$112.20K - $134.80K/yr

* As a Databricks Data Engineer, you will work directly with clients across multiple industries to design, implement, and optimize Databricks-based data solutions * You will be a key member of our ...

Sr Databricks Data Engineer

Kansas City, MO · On-site

$111.60K - $134K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Manhattan, NY · On-site

$126.10K - $151.40K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Denver, CO · On-site

$117.80K - $141.50K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Stamford, CT · On-site

$122.10K - $146.60K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Databricks Data Engineer

Boulder, CO

$112.20K - $134.80K/yr

* As a Databricks Data Engineer, you will work directly with clients across multiple industries to design, implement, and optimize Databricks-based data solutions * You will be a key member of our ...

next page

Showing results 1-20

Temporary Databricks Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do temporary databricks data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for temporary databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What cities are hiring for Temporary Databricks Data Engineer jobs? Cities with the most Temporary Databricks Data Engineer job openings:
What are the most commonly searched types of Databricks Data Engineer jobs? The most popular types of Databricks Data Engineer jobs are:
What states have the most Temporary Databricks Data Engineer jobs? States with the most job openings for Temporary Databricks Data Engineer jobs include:
Databricks Data Engineer

Databricks Data Engineer

Berkley

Manassas, VA • On-site

$114.50K - $137.50K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Company Details
We started in early 2019 as a small group of technologists with a passion for making insurance better. Today we are working with a team of industry experts who run five different insurance brands and collectively control $1 billion in annual premiums.
We believe in an idea and execution meritocracy. In other words, a place where the best ideas win and the people who deliver the most value get the most opportunities.
As we grow our team, we are looking for inquisitive, entrepreneurial people who are excited to reimagine the insurance industry.
Insurance is too complex. Help us make it better.
Responsibilities
This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location.
The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale. This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud-native data pipelines in Databricks. This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with rigorous observability, governance (Unity Catalog), and CI/CD automation.
Data Pipeline Engineering
  • Design, build, and maintain high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark.
  • Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using PySpark notebooks, Delta Live Tables (DLT), and Databricks Workflows.
  • Implement reliable batch and streaming pipelines with robust data quality and validation frameworks.
  • Optimize pipeline performance using Photon, efficient file formats, partitioning, Z-ordering, and caching strategies.

Lakehouse Platform Development
  • Develop and manage datasets within Delta Lake, ensuring ACID reliability, schema evolution, versioning, and time travel.
  • Architect feature-rich data layers including:
    • Bronze (raw ingestion)
    • Silver (validated, conformed)
    • Gold (analytics-ready and ML-ready)
  • Implement data governance using Unity Catalog for fine-grained access control, lineage, auditability, and metadata management.

MLOps & ML-Enabled Data Pipelines
  • Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines.
  • Deploy and operationalize models using MLflow, Databricks Model Registry, and Databricks Workflows.
  • Use Databricks built-in AI SQL functions such as ai_query, ai_forecast, ai_analyze_sentiment to generate actionable insight from large amount of unstructured or structured raw data
  • Implement monitoring for:
    • Pipeline failures
    • Data/feature drift
    • Model performance degradation
    • Operational SLAs/SLIs/SLOs
  • Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment, pipeline testing, and environment promotion.

Data Platform, Data Security & Data Governance
  • Collaborate with data engineers to design reliable data products on Delta Lake; leverage Delta Live Tables (DLT) for declarative pipelines when applicable.
  • Enforce Unity Catalog for lineage, permissions, and audit; manage secrets, tokens, and keys securely (e.g., Databricks secrets, Key Vault/Secrets Manager).

Collaboration & Leadership
  • Work closely with cross-functional teams: data engineering, data scientist, product manager, and business stakeholders.
  • Serve as a Databricks SME-championing best practices, code standards, governance, and reusable frameworks.
  • Document architecture, workflows, data models, runbooks, and operational procedures.

Qualifications
  • Minimum of 3 years of experience in Databricks, PySpark notebooks, Python, DevOps, software development, and data engineering.
  • Certified Databricks Data Engineer Associate or Professional is a plus.

Skills & Competencies
  • Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark Notebook.
  • Proficient in building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets
  • Proficient with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining
  • Proficiency in Python including Pandas and PySpark Dataframes
  • Expert level of SQL skills including Stored Procedure, experience with SSIS, SSRS, Power BI is a plus.
  • Proficient with cloud data engineering platforms, such as Azure, Databricks, Spark, or SQL, and batch and streaming pipelines
  • Familiar with Databricks AI Built-In Functions such as AI_Query, AI_Gen, AI_Classify, AI_Forecast, AI_Analyze_Sentiment, able to use them to extract actionable insights from large amount of unstructured or structured raw data
  • Experience with Python and ML frameworks, such as PyTorch or TensorFlow
  • Experience improving data quality, lineage, and observability in enterprise data environments and operationalizing rules and model-driven scoring for prioritization, routing, or case selection
  • Experience with predictive analytics, machine learning and artificial intelligence desired.

Education
  • A Bachelor's degree in Computer Science, Management Information Systems, Engineering, Math, Physics, or a related quantitative field is required (4-year degree). Master's degree preferred
  • Experience in the commercial insurance industry is a plus.

Additional Company Details
The Company is an equal employment opportunity employer.
We do not accept any unsolicited resumes from external recruiting firms.
The company offers a competitive compensation plan and robust benefits package for full time regular employees.
Base salary & Benefits include Health, dental, vision, life, disability, wellness, paid time off, 401(k) and profit-sharing plans.
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Additional Requirements
• Ability to travel locally and nationally up to 5% of the time
Sponsorship Details
Sponsorship not Offered for this Role