Data Engineering Engineer 3

Epitec, Inc.
Dearborn, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 146K

Job location

Dearborn, United States of America

Tech stack

LTE (Telecommunication)
API
Data analysis
Unit Testing
Information Engineering
Data Infrastructure
Data Warehousing
Github
JSON
Python
Software Engineering
Management of Software Versions
YAML
Feature Engineering
Pytest
Data Lake
Performance Monitor
Data Management
Software Version Control
Data Pipelines

Job description

Description: We are seeking a Senior Analytics Engineer to serve as the Technical Implementation Lead for Data Contracts within Digital Product Analytics. This is a highly hands?on, "engineering force multiplier" role where you will translate analytics strategy into production?ready code and tooling for feature engineering teams. While the analytics roadmap is defined, feature engineers often lack the bandwidth to operationalize analytics requirements. You will provide white?glove enablement-authoring schemas, generating code artifacts, and building automated validation-so data contract adoption is seamless, scalable, and reliable., * Collaborate with business and technology stakeholders to understand current and future data and instrumentation requirements

  • Design, build, and maintain scalable data infrastructure including pipelines, data models, and workflow applications

  • Develop and own Data Contracts by translating measurement plans into production?ready YAML/JSON schemas

  • Build validation frameworks by writing reusable Python/PyTest unit tests for CI/CD pipelines to verify: o Event firing accuracy o Payload structure and schema compliance

  • Design and maintain modern data platforms including data warehouses, data lakes, and lakehouse architectures

  • Optimize instrumentation for constrained environments: o Minimize LTE bandwidth usage o Reduce 12V battery drain o Avoid unnecessary vehicle wake?ups

  • Manage schema evolution and versioning using GitHub, ensuring backward compatibility so analytics changes never break feature builds

  • Bridge analytics and embedded systems by translating business needs into: o Vehicle signals (TCU/ECU, CAN) o API logic and event contracts

  • Automate data engineering tasks through scripting and analytical tooling

  • Monitor performance and continuously identify optimization opportunities

Requirements

Do you have experience in Version control?, Do you have a Bachelor's degree?, * 7+ years of professional Data Engineering experience

  • Bachelor's Degree in a relevant field
  • Python (advanced, production?grade use)
  • Strong experience designing, building, and maintaining data pipelines and infrastructure
  • GitHub?based development and version control

Preferred:

  • 5+ years total technical experience in one or more of the following: Software Engineering, Data Engineering, or Embedded Systems
  • Master's Degree
  • Automotive or IoT domain experience

Benefits & conditions

3.43.4 out of 5 stars Dearborn, MI 48124 $65 - $70 an hour - Contract

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