Über
Skills Required: Python Skills Preferred: Telematics Experience Required: Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: 5+ Years Total Technical Experience: Must have a background in Software Engineering, Data Engineering, or Embedded Systems. 3+ Years in "Code-Based" Analytics: Demonstrated experience using Python, GitHub, and CI/CD pipelines to manage data (not just SQL/Tableau). Automotive/IoT Specific: Must have prior experience working with hardware-constrained environments (Vehicle Telemetry, Connected Devices, or Embedded Systems) where bandwidth and battery usage are critical factors. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information : Senior Analytics Engineer (Instrumentation & Data Contracts) | Focus: Schema Definition, Unit Testing, Developer Enablement. The Opportunity: "The Engineering Force Multiplier" Join Digital Product Analytics as the Technical Implementation Lead for Data Contracts. While we define the roadmap, feature engineers lack bandwidth to translate concepts into code. You will provide "White-Glove Service"-writing schemas, generating code artifacts, and building validation tests-making Data Contract adoption frictionless for developers. What You'll Do: Code the Contracts: Translate measurement plans into production-ready Data Contracts (YAML/JSON schemas) for engineers to consume. Build the "Validation Kit": Don't just dictate tests-write them. Develop reusable Unit Tests (Python/PyTest) for CI/CD pipelines to automatically verify event firing and payload accuracy. Optimize for Constraints: Ensure instrumentation respects LTE bandwidth and 12V battery power, avoiding unnecessary vehicle wake-ups. Manage Schema Evolution: Own GitHub versioning. Ensure updates are backward-compatible so analytics changes never break feature builds. Bridge the Gap: Translate business requests into specific hardware (TCU/ECU) signals and API logic. Requirements: "Analytics as Code": Expert with GitHub, YAML, and JSON. You treat data definitions as software. Test Engineering: Proven ability to write Python Unit Tests to validate logic, mock data, and assert schema matches. Automotive/IoT Architecture: Deep understanding of hardware constraints, TCUs, CAN signals, and vehicle states (e.g., Deep Sleep). Service Mindset: Your "customers" are Feature Engineers. Make their lives easier by handing them ready-to-use instrumentation assets. Tech Stack (Keywords for Recruiters): Languages: Python, YAML, JSON, SQL. Tools: GitHub Actions, CI/CD, PyTest. Domain: Automotive (TCU/ECU), IoT Telemetry, Data Contracts.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.
Sprachkenntnisse
- English
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