Founding Data Platform Engineer (Azure & Databricks)

Frederick Fox LLC

Charlotte (NC)

On-site

USD 100,000 - 140,000

Full time

8 days ago

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Job summary

Frederick Fox LLC in Charlotte, NC is seeking a Data Engineer to design, build, and maintain a data platform from scratch as a founding member of the US Data team.

You will design scalable ETL/ELT pipelines, implement data quality checks, collaborate with global stakeholders, and ensure governance and security while leveraging Azure and Databricks to drive analytics initiatives.

Entrepreneurial mindset and ownership are valued as you shape the data strategy and modern data architecture.

Qualifications

  • Bachelor’s degree or equivalent technical experience.
  • 5 years of experience in data engineering or similar data platform roles.
  • Hands-on experience building and maintaining ETL/ELT pipelines and data models.
  • Proven experience deploying and maintaining production workloads on Azure and/or Databricks.

Responsibilities

  • Design, build, and maintain a scalable data platform from scratch.
  • Build efficient, performant, and well-tested data pipelines from disparate sources into trusted data products.
  • Collaborate with global data teams and stakeholders to design solutions that meet business requirements.
  • Implement data validation, quality checks, and error handling processes.
  • Document data architecture, pipelines, transformations, and governance processes.
  • Ensure compliance with data governance, security, and privacy standards.
  • Stay up-to-date on emerging data engineering technologies and patterns.

Skills

SQL
Python
PySpark
Databricks
Azure
Data governance
Data quality testing
Stakeholder collaboration

Education

Bachelor’s degree in a technical or quantitative discipline

Tools

Databricks
Azure
CI/CD

Job description

Frederick Fox LLC in Charlotte, NC is seeking a Data Engineer to design, build, and maintain a data platform from scratch as a founding member of the US Data team.

You will design scalable ETL/ELT pipelines, implement data quality checks, collaborate with global stakeholders, and ensure governance and security while leveraging Azure and Databricks to drive analytics initiatives.

Entrepreneurial mindset and ownership are valued as you shape the data strategy and modern data architecture.

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