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Data Engineer - Databricks

  • Data Engineer - Databricks job type Posted on: Nov 06, 2026
  • Data Engineer - Databricks experience level Bizoforce - The Innovation Platform Accelerating Digital Solutions for Enterprises
  • Data Engineer - Databricks employment type Washington, District of Columbia
  • Data Engineer - Databricks employment type Onsite
  • Data Engineer - Databricks salary Full-time

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Job Title :

Data Engineer - Databricks

Job Type :

Full-Time

Job Location :

Washington District of Columbia United States

Remote :

No

Jobcon Logo Job Description :

Role: Data Engineer - DatabricksLocation: Washington, DC Metro AreaDuration: Long-Term Full-Time (W2)USCITIZEN (Does not require Sponsorship)How the role worksThis is a long-term client engagement. Over time there may be an opportunity for the client to hire you directly. That is a possible long-term outcome, not a guaranteed or near-term one.What we offerMedical, dental, and vision coverage401(k) with company matchPaid time off and paid holidaysAll Databricks training and certification costs covered by RevatureWhat you need7-10 years of hands-on data engineering experienceExperience delivering multiple production-grade cloud data platform implementationsAdvanced Python, SQL, and Spark/PySpark with some exposure to DatabricksStrong knowledge of ETL/ELT, data modeling, change data capture, streaming, governance, and performance optimizationExperience with Git, CI/CD, automated testing, and deployment strategiesExperience contributing to solution design and architectural decisionsExperience leading technical implementation activities and/or mentoring engineersAt least one Associate-level or higher AWS, Azure, or GCP certificationAble to work on-site in the Washington, DC metro area from the start of the client engagement, approximately December 2026.Candidates relocating to the DC area are welcome to apply.Must be authorized to work in the United States without restriction.This position supports a client engagement subject to a background investigation.Nice to haveDelta Lake or Lakehouse experienceSnowflake, Redshift, Synapse, or BigQuery experienceDocker or Kubernetes exposureWorking knowledge of Terraform or infrastructure as codeExposure to Terraform or infrastructure as codeFamiliarity with Snowflake, Redshift, Synapse, or BigQueryExperience with modern cloud data platforms

Jobcon Logo Position Details

Posted:

Nov 06, 2026

Reference Number:

10440_4487774014

Employment:

Full-time

City:

Washington

Job Origin:

APPCAST_CPC

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Role: Data Engineer - DatabricksLocation: Washington, DC Metro AreaDuration: Long-Term Full-Time (W2)USCITIZEN (Does not require Sponsorship)How the role worksThis is a long-term client engagement. Over time there may be an opportunity for the client to hire you directly. That is a possible long-term outcome, not a guaranteed or near-term one.What we offerMedical, dental, and vision coverage401(k) with company matchPaid time off and paid holidaysAll Databricks training and certification costs covered by RevatureWhat you need7-10 years of hands-on data engineering experienceExperience delivering multiple production-grade cloud data platform implementationsAdvanced Python, SQL, and Spark/PySpark with some exposure to DatabricksStrong knowledge of ETL/ELT, data modeling, change data capture, streaming, governance, and performance optimizationExperience with Git, CI/CD, automated testing, and deployment strategiesExperience contributing to solution design and architectural decisionsExperience leading technical implementation activities and/or mentoring engineersAt least one Associate-level or higher AWS, Azure, or GCP certificationAble to work on-site in the Washington, DC metro area from the start of the client engagement, approximately December 2026.Candidates relocating to the DC area are welcome to apply.Must be authorized to work in the United States without restriction.This position supports a client engagement subject to a background investigation.Nice to haveDelta Lake or Lakehouse experienceSnowflake, Redshift, Synapse, or BigQuery experienceDocker or Kubernetes exposureWorking knowledge of Terraform or infrastructure as codeExposure to Terraform or infrastructure as codeFamiliarity with Snowflake, Redshift, Synapse, or BigQueryExperience with modern cloud data platforms

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