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Databricks Consultant Jobs (NOW HIRING)

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with ...

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with ...

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with ...

NY · On-site

$125 - $150/hr

Databricks Senior Consultant/ Tech Leader Join a team that builds solutions for global leaders. We are an IT services company specializing in building cutting‑edge data platforms for large ...

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with ...

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

We are seeking an experienced Databricks Consultant to design, develop, and implement scalable data solutions on the Databricks platform. * The ideal candidate will have strong expertise in data ...

Experience should be 8+ years and shoul have Design and implement data models Develop conceptual, logical, and physical data models that meet business requirements. Develop data warehousing ...

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with deep ...

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office . Please Note: This position is contingent upon additional funding. We are seeking a skilled individual with deep ...

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Databricks Consultant information

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How much do databricks consultant jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for databricks consultant in the United States is $41.55, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $49.52 per hour, depending on experience, location, and employer.

Are Databricks Consultants in high demand?

Databricks Consultants are in high demand due to the increasing adoption of cloud-based data platforms and big data analytics. Their expertise in Apache Spark, data engineering, and cloud environments makes them valuable in industries focused on data-driven decision making, with job growth expected to remain strong as organizations expand their data initiatives.

Does a Databricks Consultant hire remote employees?

Many Databricks Consultants work remotely, especially as the role involves cloud-based data analytics and collaboration tools. Remote work policies vary by employer, but skills in cloud platforms, communication, and project management are essential for remote roles in this field.

What is a Databricks consultant?

A Databricks consultant is a professional who specializes in implementing and optimizing solutions using the Databricks platform, which is designed for big data processing and analytics. They typically possess skills in Apache Spark, data engineering, and cloud environments, and may hold certifications related to Databricks or data analytics.

What are popular job titles related to Databricks Consultant jobs?

For Databricks Consultant jobs, the most frequently searched job titles are:

Infographic showing various Databricks Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $86,430 per year, or $41.6 per hour.

Databricks Consultant

Houston, TX • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees

Full-time

Posted 26 days ago


Job description

Role Overview:
We are seeking an experienced Databricks Consultant to design, develop, and implement scalable data solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, cloud platforms, Spark, and modern data architectures, with the ability to work closely with business and technical stakeholders.
Key Responsibilities:
  • Design and develop data pipelines using Databricks, Apache Spark, and PySpark.
  • Build and maintain ETL/ELT processes for large-scale data ingestion and transformation.
  • Implement data lake and lakehouse architectures on Databricks.
  • Integrate data from multiple sources, including databases, APIs, and cloud storage.
  • Optimize Spark jobs and Databricks workloads for performance and cost efficiency.
  • Collaborate with business users, architects, and developers to understand requirements and deliver solutions.
  • Develop data models and support reporting, analytics, and AI/ML initiatives.
  • Implement data quality, governance, security, and monitoring standards.
  • Support production deployments, troubleshooting, and performance tuning.
  • Prepare technical documentation and provide knowledge transfer to project teams.

Required Skills:
  • Strong hands-on experience with Databricks.
  • Expertise in Apache Spark, PySpark, and SQL.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows.
  • Experience with data warehousing and data lake concepts.
  • Strong understanding of ETL/ELT frameworks and data modeling.
  • Familiarity with CI/CD, Git, and DevOps practices.
  • Excellent problem-solving and communication skills.

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • 5+ years of experience in Data Engineering/Big Data.
  • 2+ years of hands-on Databricks implementation experience.

Preferred Skills:
  • Experience with Azure Data Factory (ADF), Azure Synapse, or AWS Glue.
  • Knowledge of Machine Learning and MLOps on Databricks.
  • Experience with streaming technologies such as Kafka and Structured Streaming.
  • Databricks or Cloud Platform certifications.