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David Careers

Azure Databricks Developer Louisville, KY & Pittsburgh, PA (Onsite) Contract

Posted yesterday

acestackPittsburgh (PA)
Software DevelopersCustom Computer Programming Services

SENIORITY

Senior

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About the role

Azure Databricks Developer
Location: Louisville, KY & Pittsburgh, PA – 100% Onsite Long Term Contract – W2/ C2CInterview Mode: Face-to-Face (F2F) – Final Round Note: Locals Only – No relocation or remote options
Job Description: We are seeking a highly skilled Azure Databricks Developer to join our team for an onsite role requiring in-person interviews. The ideal candidate will have strong hands-on experience working with Azure Data Services, especially Databricks, and should be comfortable working directly from the client location.
Key Responsibilities:
  • Design, develop, and optimize data pipelines using Azure Databricks and Apache SparkBuild scalable ETL/ELT processes to ingest data from various sources (structured, semi-structured)
  • Work closely with data architects and analysts to understand data requirements and implement solutions
  • Write advanced PySpark/Scala scripts and performance-tune Spark jobs
  • Implement data quality checks and validation rules
  • Integrate with Azure components like Data Lake Storage (ADLS), Data Factory, Synapse, Event Hubs
  • Support deployment, monitoring, and debugging in Azure environments
  • Collaborate in Agile/Scrum teams, attend stand-ups, demos, and code reviews
Required Skills:
  • 8+ years of experience in Data Engineering roles 5-7+ years of strong hands-on experience with Azure Databricks
  • Strong knowledge of PySpark, SQL, Spark SQLExperience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure DevOpsProficiency in working with Delta Lake, DataFrames, and optimization techniques
  • Excellent understanding of data modeling and large-scale data processing
  • Strong debugging, performance tuning, and troubleshooting skills
  • Ability to work onsite and attend face-to-face interviews
Nice to Have: Experience with Power BI, Azure ML, or Real-time streaming (Event Hubs/Kafka) Knowledge of CI/CD pipelines and automation using Azure DevOps

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