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Data Engineer Manager Jobs in Howell, MI (NOW HIRING)

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Company Description StemXpert is a global management consulting, technological service and ... Work as SQL Server d/base admin & set up SQL security Audit & write prgms for Big Data solutions.

Data - Platform Manager

Novi, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer audio systems and integrated technology platforms that augment the driving experience ... Define and manage platform capabilities that enable data product teams to build, test, deploy ...

Engineering Manager - Trim

Plymouth, MI · On-site

$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineering Manager - Trim Minimum 5 Years experience in Engineering Management Venteon is ... Provides engineering solutions based on data driven problem solving and application of the Basic ...

Engineering Manager - Trim

Plymouth, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineering Manager - Trim Minimum 5 Years experience in Engineering Management Venteon is ... Provides engineering solutions based on data driven problem solving and application of the Basic ...

Establish and mature enterprise Master Data Management processes across key domains including ... Partner closely with executive leadership, business stakeholders, engineering, and IT teams to ...

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

This role combines data engineering, database design, statistical modeling, business intelligence ... Senior Manager, FP&A #J-18808-Ljbffr

Establish and mature enterprise Master Data Management processes across key domains including ... Partner closely with executive leadership, business stakeholders, engineering, and IT teams to ...

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Data Engineer Manager information

See Howell, MI salary details

$41.6K

$121.4K

$166.1K

How much do data engineer manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer manager in Howell, MI is $121,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $128,700.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Howell, MI?

The most popular types of Data Engineer jobs in Howell, MI are:

What are popular job titles related to Data Engineer Manager jobs in Howell, MI?

For Data Engineer Manager jobs in Howell, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Howell, MI look for?

The top searched job categories for Data Engineer Manager jobs in Howell, MI are:

What cities near Howell, MI are hiring for Data Engineer Manager jobs?

Cities near Howell, MI with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Howell, MI as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $121,385 per year, or $58.4 per hour.

Senior Big Data Engineer

Pi Square Technologies LLC

Farmington Hills, MI • On-site

$54.75 - $72.50/hr

Full-time

Posted 17 days ago


Job description

Senior Big Data Engineer
Data Engineer
Owns the data pipelines that move data from operational source systems onto the data platform extraction, ingestion, transformation, orchestration, and the day-to-day operational health of those pipelines.
Also plays a role as a hands-on builder of Foundational Data Products (raw record-of-truth) and potentially Derivative Data Products (composed from upstream products).
Core skills
SQL & Python (table stakes); Scala/Java for high-throughput streaming
Pipeline build & operations: design, develop, deploy, monitor, and remediate batch and streaming pipelines that land source data on the platform; manage backfills, replays, late-arriving data, schema drift, and SLA breaches
Ingestion patterns: full-load, incremental, change-data-capture (Debezium, Fivetran, Qlik Replicate, GoldenGate), event-driven ingest, API and file-based
intake
Pipeline frameworks: dbt, Apache Spark, Apache Beam, Airflow, Dagster, Prefect
Streaming: Kafka, Kinesis, Flink, Spark Structured Streaming
Data product packaging: schema contracts (Avro/Protobuf/JSON Schema), versioning, SLAS/SLOs, data contracts, output-port design (SQL, file, API, event)
Storage formats: loeberg, Delta Lake, Hudi (open table formats are now the mesh default)
Quality & observability: Great Expectations, Soda, Monte Carlo, dbt tests, data lineage (OpenLineage)
CI/CD for data: GitOps pipelines, unit + integration tests, environment promotion
Al-adjacent vector store ingestion (pgvector, Pinecone), feature stores (Feast, Tecton), RAG-ready chunking and embedding pipelines
Mesh-specific: knowing when to build a derivative product vs. extending an existing one; consuming upstream products through governed input ports rather than reaching into source systems