Data Engineer - Lakehouse, Reporting, AI

Hybrid in Sugar Land, TX, US • Posted 19 hours ago • Updated 1 hour ago
Contract W2
24 Weeks
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

Summary

This role focuses on designing, developing, and supporting data engineering and data integrations, primarily in a Databricks data lake house environment. The Data Engineer will collaborate closely with business users to build semantic data models, dashboards, and perform hands-on analysis to address business questions. This position plays a crucial role in establishing a robust data foundation that supports AI and machine learning initiatives, ensuring high-quality, well-governed data products.

Key Responsibilities:

  • Design and develop reliable data pipelines that ingest data from various source systems into a Databricks data lake house.
  • Curate data through a layered medallion architecture into clean, analytics-ready datasets.
  • Collaborate with business users to build semantic data models and dashboards that support decision-making.
  • Conduct hands-on data analysis to answer business questions and provide actionable insights.
  • Establish and maintain data governance and quality practices to ensure the reliability of data products.

Required Qualifications:

  • Minimum of 5 years of IT/technology experience spanning data analysis, data engineering, and/or data integration.
  • At least 3 years of experience writing SQL/NoSQL queries, with specific experience in MS SQL Server, Oracle, and/or Postgres.
  • Bachelor''s degree in Information Systems, IT, or a related technical discipline.
  • Hands-on experience with a modern cloud data platform or lake house, such as Databricks, Microsoft Fabric, or Snowflake.
  • Strong Python skills for data engineering, including experience with PySpark.

Additional Details:

  • Location: Houston, TX 77479

Join a dynamic team that leverages modern cloud data platforms to drive impactful business decisions and contribute to cutting-edge AI and machine learning initiatives.

#11753
#LI-HN1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10480055
  • Position Id: 11753
  • Posted 19 hours ago
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Kayla Beacham

Recruiter @ VC5 Consulting
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