Morris & Dickson Co., LLC

Data Engineer

Morris & Dickson Co., LLC

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDjangoFlaskGoogle Cloud PlatformPythonSparkSQLUnity

About the role

  • Reporting to the VP, Data & Analytics, the Analytics Engineer plays a vital role in designing, implementing, and optimizing data solutions leveraging Databricks and Power BI.
  • Collaborate with cross-functional teams to build full-stack data and BI solutions that drive business impact.
  • Design and implement scalable data systems using Databricks and Prefect.
  • Partner cross-functionally with data teams, stakeholders, and business units to deliver aligned, well-documented solutions that meet evolving needs.
  • Build and optimize Power BI dashboards.
  • Establish governance frameworks with Unity Catalog, semantic layers, and secure access controls to ensure data integrity and usability across departments.
  • Responsibilities may evolve based on the strengths and experience of the selected candidate.

Requirements

  • Skilled in Python, SQL, and Power BI.
  • Hands-on experience across major cloud platforms (Azure, AWS, GCP).
  • Excellent problem-solving abilities and communication skills, with a track record of cross-functional collaboration.
  • Preferred: 3+years in scalable data architecture design, including pipeline development (Databricks, Spark, Snowflake, DBT, Prefect, SQLMesh, etc).
  • Preferred: Familiarity with CI/CD pipelines for automated testing and deployment.
  • Preferred: Experience in machine learning pipelines and API development.
  • Preferred: Experience with Flask/Fastapi/Django.
  • Preferred: Experience in pharmaceuticals, logistics, or a highly regulated industry.