Hybrid Data Engineering Lead: Lakehouse & ML

MasterApp Labs

Lansing (MI)

Hybrid

USD 83,000 - 165,000

Part time

2 days ago
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Benefits offered by this job

401(k) matching
Dental insurance
Health insurance
Vision insurance

Job summary

MasterApp Labs in Lansing, MI is seeking a Lead Data Engineer for a hybrid contract role. You will lead the design and delivery of data pipelines and ML-ready data products, working with DataBricks, SageMaker, and other tools to support analytics and operational systems.

The role requires 4+ years of hands-on data engineering experience across cloud data platforms, data governance, and DS/ML pipelines. Occasional travel to Ann Arbor may be required; in-office on Wednesdays and Thursdays.

Qualifications

  • 4+ years hands-on experience building data pipelines extracting and loading data into a Data Lake on a CSP (AWS/Azure/Google).
  • 4+ years transforming datasets to deliver data products with traceability to data elements in systems of record.
  • 2+ years enforcing data sharing policies to data products so users see only authorized versions.

Responsibilities

  • Oversee design, development, and maintenance of data pipelines for analytics and operational systems.
  • Architect and optimize data infrastructure including storage, orchestration, and ETL/ELT processes.
  • Ensure data quality, reliability, and security through standards, monitoring, governance, and validation.

Skills

Data Lake
ETL/ELT
Data Governance
Python/Spark
Cloud CSP

Education

Bachelor's degree

Tools

DataBricks
SageMaker
Power BI
Tableau
Kubernetes

Job description

MasterApp Labs in Lansing, MI is seeking a Lead Data Engineer for a hybrid contract role. You will lead the design and delivery of data pipelines and ML-ready data products, working with DataBricks, SageMaker, and other tools to support analytics and operational systems.

The role requires 4+ years of hands-on data engineering experience across cloud data platforms, data governance, and DS/ML pipelines. Occasional travel to Ann Arbor may be required; in-office on Wednesdays and Thursdays.

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