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Databricks Developer

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Onsite

Databricks Developer

HMG AMERICA LLC

Databricks Developer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDatabricksGitAWSPySparkAzure

2 days ago

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Important information


Contract type:

Permanent

Salary:

$110,000 / year

Location:

Washington, DC, USA

Work mode:

Onsite

Published on:

21 October 2026

What they need


HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for (Title) in (Location). Below is the detailed job description.

Role: Databricks Developer Location: Washington, DC (Remote) Full Time Job Description Key Responsibilities

  • Develop and maintain ETL/ELT data pipelines using PySpark and SQL within the Databricks platform.
  • Design, create, and optimize Delta Lake tables to support scalable and high-performance data processing.
  • Build and manage Databricks Workflows jobs to orchestrate and automate data pipelines.
  • Write and execute unit tests to ensure code quality, reliability, and maintainability.
  • Investigate and resolve data quality issues, ensuring the accuracy and integrity of data assets.
  • Produce clear technical documentation for developed solutions, processes, and pipeline configurations.
  • Participate in peer code reviews and incorporate feedback to maintain coding standards and best practices.

Required Qualifications

  • 5 years of experience in Data Engineering, including 3+ years of hands-on experience with Databricks.
  • Strong proficiency in PySpark and SQL.
  • Working knowledge of Delta Lake and at least one major cloud platform (Azure, AWS, or GCP).
  • Familiarity with Git-based source control and CI/CD practices.
  • Ability to independently deliver well-defined technical solutions from development through deployment.

Preferred Qualifications

  • Databricks Data Engineer Associate Certification (preferred).
  • Experience working within established data platform and engineering best practice frameworks.
  • Strong troubleshooting and problem-solving capabilities.

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