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Robert Half Logo Robert Half · IT - Software Development

Data Engineer

United States, Poughkeepsie Contract work · Job Posted May 20, 2026
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Job Description

We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment.

Job Responsibility

  • Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data
  • Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management
  • Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities
  • Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance
  • Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets
  • Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate
  • Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support
  • Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures
  • Protect data assets by applying security controls and compliance standards across the Databricks environment
  • Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule

Requirements

  • Hands-on experience building data engineering solutions with Databricks and Apache Spark
  • Strong programming ability in Python, including development of ETL and data transformation workflows
  • Knowledge of lakehouse and big data technologies such as Delta Lake, Apache Hadoop, and Apache Kafka
  • Experience working with Azure Data Lake Storage Gen2 or comparable cloud-based data storage platforms
  • Ability to optimize distributed data processing jobs and troubleshoot performance issues in Spark environments
  • Familiarity with data governance, data quality, and security practices for enterprise data platforms
  • Comfortable working independently and collaborating with cross-functional teams in an agile delivery model
  • Proven ability to analyze technical problems, break them into manageable components, and implement effective solutions.

What we offer

  • Medical, vision, dental, and life and disability insurance
  • enrollment in company 401(k) plan
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