Data Engineer

4 days ago


Detroit Metropolitan Area, United States IC Resources Full time $80,000 - $120,000 per year

Data Management Engineer – Sensing & Analytics Systems

Ann Arbor, Michigan (Onsite preferred, hybrid considered)

We're partnering with a global technology company developing next-generation sensing and analytics platforms for large-scale, continuous monitoring of physical environments. Their systems capture and process vast volumes of time-series and geospatial data, enabling real-time detection, classification, and response across a range of operational scenarios.

The U.S. team is growing and looking for a
Data Management Engineer
to design and maintain the data infrastructure that underpins their machine learning and signal processing capabilities.

The Role

You'll take ownership of building scalable, reliable data pipelines — from ingest and labeling through to retrieval and analysis. Your work will enable scientists and engineers to access clean, structured datasets that drive model training, algorithm evaluation, and field deployment.

This is a hands-on role spanning ETL development, database design, and workflow automation, helping shape a modern data environment that supports cutting-edge sensing and AI workloads.

What You'll Do


• Design and implement databases and repositories for high-volume time-series and geospatial data


• Develop ETL pipelines to ingest, transform, and index large distributed sensor datasets


• Build query tools and APIs that allow fast access to labeled signature data for ML and DSP teams


• Automate data ingestion and backup processes to ensure reliability and repeatability


• Integrate metadata (location, time, event type, conditions, etc.) for searchable, auditable data curation


• Support the creation of automated dataset "playlists" for model training and workflow testing


• Contribute to the development of dashboards and visualization tools for data exploration

What You'll Bring


• Proven experience in data engineering, ETL development, or database management


• Strong Python and SQL skills, with experience using PostgreSQL, MySQL, or similar databases


• Familiarity with geospatial data and GIS tools (e.g. QGIS, ArcGIS, or PostGIS)


• Understanding of data modeling, indexing, and schema design for large, multi-source datasets


• Experience building data pipelines and automating ingestion, validation, and backup workflows


• Collaborative approach and strong documentation habits

Nice to Have


• Exposure to time-series data, sensor data, or scientific data management


• Experience with cloud or hybrid storage architectures and backup strategies


• Familiarity with containerized or CI/CD environments (Docker, GitLab, etc.)


• Knowledge of metadata standards, data versioning, or vector databases

Why Join

You'll be a key enabler in transforming raw data into intelligence — working with a close-knit, multidisciplinary team where your engineering work directly supports applied AI and signal processing on real-world sensor systems. It's a technically rewarding environment with real impact and growth potential.

U.S. citizenship and the ability to pass a background check are required due to the nature of the work.


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