Sr. Associate
Role Overview
The Data Engineer (Manager and/or Senior) owns the end-to-end data supply chain supporting analytics and AI for global clients.
The role uses Adverity, Data Refinery, Trifacta, Databricks, Unity Catalog, SQL, PySpark, dbt, and GitHub to build governed, quality-checked datasets.
The description says candidates ideally are in Greater Detroit, Michigan, and that candidates elsewhere in the continental United States are also considered.
Key Skills for This Role
Full Job Posting
Role overview
The Data Engineer (Manager and/or Senior) owns the end-to-end data supply chain supporting analytics and AI for global clients.
The role uses Adverity, Data Refinery, Trifacta, Databricks, Unity Catalog, SQL, PySpark, dbt, and GitHub to build governed, quality-checked datasets.
The description says candidates ideally are in Greater Detroit, Michigan, and that candidates elsewhere in the continental United States are also considered.
Responsibilities
- Onboard and normalize multi-source marketing, media, and platform data through Adverity and Data Refinery pipelines.
- Ingest, model, and reconcile DSP data against CM360; resolve discrepancies in impressions, spend, and attribution.
- Maintain governed Trifacta recipes to cleanse, standardize, and shape raw data.
- Govern Databricks assets, including catalogs, schemas, permissions, lineage, and metadata.
- Build and optimize SQL and PySpark transformations, notebooks, and workflows across medallion architecture layers.
- Operate data quality checks for integrity, schema validation, reconciliation, and error monitoring.
- Use modular, tested, documented transformations and GitHub for version control, CI/CD, review, and change governance.
- Build reusable, documented models and prepare certified datasets for analytics, AI, and Power BI reporting.
- Work with analysts, engineers, and business leads; contribute to quality standards, monitoring, and platform roadmap.
Qualifications
- 4–6+ years of experience as a Data Engineer or similar, building and operating scalable production data pipelines.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; graduate degree preferred.
- Hands-on experience with Adverity and Data Refinery ingestion pipelines across multiple marketing and media sources.
- Experience with Trifacta (Alteryx Designer Cloud) transformations and governed wrangling recipes.
- Advanced Databricks experience, including Unity Catalog, SQL, PySpark, Workflows, Notebooks, and Jobs.
- Experience designing and operating data quality checks, reconciliation, schema validation, and automated monitoring in Databricks.
- Familiarity with dbt and GitHub; strong SQL and Python proficiency; working knowledge of medallion architecture, modeling, lineage, and governance.
Platforms and data domains
- The data environment includes Adverity, Trifacta, Databricks Unity Catalog, SQL, PySpark, Python, dbt, GitHub, and Power BI.
- Programmatic media sources include DSP platforms such as DV360, The Trade Desk, and Amazon DSP, reconciled against CM360.
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