Data Engineering Senior

Data Engineering Senior

Are you looking to work for a company that provides an innovative work environment, and your voice is heard? We have a position for a Data Engineering Senior to work onsite at our client in Waterloo, ON

Who we are

LER TechForce is an industry leader in embedded controls, software, functional safety, and engineering talent. For over 20 years LER has been working with customers across North America to meet their engineering resource challenges. Learn more about us (3) LER TechForce: Life | LinkedIn

What you will be doing:

The FNV Analytics Data Team is seeking a highly collaborative and business-oriented Senior Data Engineer / Data Analyst to transform connected vehicle data into actionable insights that directly influence engineering, product, sales, and executive decisions. We are looking for someone who deeply understands how vehicle telemetry data is instrumented, collected, and transformed and who partners closely with domain experts to ensure data accurately represents real-world vehicle behavior and customer experience. Our mission is to deliver trusted, high-quality insights that enhance the connected vehicle experience and enable data-driven decision-making across the organization. Onsite position, 4 days per week in office.

Business & Domain Partnership Partner closely with vehicle embedded engineers, product owners, and technical product managers to understand how data is generated, instrumented, and interpreted within connected vehicle ecosystems. Translate loosely defined business problems into scalable data solutions with measurable impact. Apply statistical methods (e.g., hypothesis testing, correlation analysis, regression modeling) to validate assumptions and quantify relationships between vehicle signals and business outcomes. Act as a bridge between technical data teams, technical software developers and non-technical data consumers. Data Engineering & Analytics Design, build, and maintain scalable data pipelines using structured and semi-structured data sources. Develop statistical and analytical models using SQL, Python, or R to conduct trend analysis, anomaly detection, and driver/vehicle behavior insights. Apply regression, time series analysis, and multivariate analysis to understand key drivers of system performance and customer experience. Work with high-volume and noisy telemetry data in a fast-paced, production-grade environment. Implement ETL/ELT workflows across diverse data types and ingestion protocols (e.g., OAuth-based APIs). Data Quality & Validation Investigate and validate upstream data quality before building analytical models. Perform root-cause analysis on data inconsistencies related to vehicle signal instrumentation. Establish monitoring and validation frameworks to ensure high data integrity and reliability. Collaborate with upstream system owners to resolve data lineage and signal mapping issues. Visualization & Communication Design executive-ready dashboards using Power BI, LookerStudio or similar tools. Communicate complex technical findings in a clear, business-impact-focused manner. Present analytical results during demo, business audience reviews, and executive briefings.

What you'll need to be successful

• Basic:

• Bachelor's Degree.

• Senior Engineer Exp: 10+ years Data Engineering work experience.

• Google Cloud Platform.

• Database Design.

• Data Integrity.

• Data Modeling.

• Data Science.

• Data/Analytics, relational Databases expectation for skills listed.

• 5+ years of experience.