Job#: 3027440
Job Description:
Role: Embedded Systems Data Engineer
Duration: 6-month contract
Location: Hybrid
Position Overview
This role is responsible for designing, building, and maintaining scalable data solutions that enable efficient, accurate collection, processing, and analysis of large volumes of data. The Senior Analytics Engineer will act as a technical force multiplier—translating analytics concepts into production-ready code, schemas, and validation assets that enable feature engineering teams to adopt data contracts seamlessly.
This position sits at the intersection of data engineering, software engineering, and automotive/IoT systems, with a strong emphasis on “analytics as code,” schema governance, and developer enablement.
Key Responsibilities
- Collaborate with business and technology stakeholders to understand current and future data requirements
- Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis
- Plan, design, and implement scalable data solutions, including data pipelines, data models, and supporting applications
- Design, implement, and maintain data platforms such as data warehouses, data lakes, and data lakehouse architectures for both structured and unstructured data
- Develop analytical tools, algorithms, scripts, and automation to support data engineering workflows
- Ensure optimal performance of data solutions and proactively identify improvement opportunities
Role Focus: Instrumentation & Data Contracts
This role serves as the Technical Implementation Lead for Data Contracts, enabling frictionless adoption by feature engineering teams.
Core Responsibilities
- Translate measurement plans into production-ready Data Contracts (YAML/JSON schemas)
- Build reusable unit tests (Python / PyTest) for CI/CD pipelines to validate event firing, schema adherence, and payload accuracy
- Own schema versioning and evolution in GitHub, ensuring backward compatibility
- Optimize instrumentation for vehicle constraints, including LTE bandwidth and 12V battery usage, avoiding unnecessary wake-ups
- Bridge business requirements to hardware-level signals (TCU/ECU), APIs, and telemetry logic
- Provide a “white-glove” developer experience by delivering ready-to-use schemas, tests, and documentation
Required Skills
- Python
- Strong experience with GitHub, YAML, and JSON
- Experience treating analytics and data definitions as code
- Ability to write automated unit tests and integrate them into CI/CD pipelines
Preferred Skills
- Telematics
- Business Process Support
Experience Requirements
- 7+ years of data engineering experience
Preferred Experience
- 5+ years total technical experience with a background in Software Engineering, Data Engineering, or Embedded Systems
- 3+ years of code-based analytics, including Python, GitHub, and CI/CD (beyond SQL or BI tools)
- Prior experience in automotive, IoT, or hardware-constrained environments, including vehicle telemetry, connected devices, or embedded systems
- Familiarity with constraints such as bandwidth limitations, battery usage, and device sleep states
Education Requirements
Preferred Education
Technology Stack
- Languages: Python, YAML, JSON, SQL
- Tools: GitHub, GitHub Actions, CI/CD, PyTest
- Domain: Automotive, IoT Telemetry, Data Contracts, TCU/ECU systems
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
