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

Principal Data Engineer

Ann Arbor, MI ยท On-site

$170K - $210K/yr

Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management * Ensure data systems ...

Data Engineer

Plymouth, MI ยท 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.

Principal Data Engineer

Ann Arbor, MI ยท Remote

$170K - $210K/yr

Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management * Ensure data systems ...

Principal Data Engineer

Ann Arbor, MI ยท On-site +1

$170K - $210K/yr

Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management * Ensure data systems ...

Data Engineer with DevOps Skill

Dearborn, MI ยท On-site

$105K - $126K/yr

DataOps Engineer Location; Hybrid work Dearborn, MI (starting September 1st, will be moving to 4 ... Architect and manage data solutions using a comprehensive suite of GCP services, ensuring optimal ...

Data Strategy-Manager

Detroit, MI ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Data Engineer

Dearborn, MI ยท On-site

$97K - $132K/yr

Job Title: Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to ... Data Management What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to ...

Senior Data Engineer

Detroit, MI ยท On-site

$104K - $142K/yr

This includes applying data management principles to pipelines and delivering analytical and ... Contribute to engineering community initiatives to increase visibility into data engineering work ...

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

This includes applying data management principles to pipelines and delivering analytical and ... Contribute to engineering community initiatives to increase visibility into data engineering work ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

Showing results 41-60

Data Engineer Manager information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do data engineer manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer manager in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Data Engineer jobs in Detroit, MI? The most popular types of Data Engineer jobs in Detroit, MI are:
What are popular job titles related to Data Engineer Manager jobs in Detroit, MI? For Data Engineer Manager jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Detroit, MI look for? The top searched job categories for Data Engineer Manager jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Engineer Manager jobs? Cities near Detroit, MI with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Detroit, MI as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.

Senior Big Data Engineer

Pi Square Technologies LLC

Farmington Hills, MI โ€ข On-site

$54.75 - $72.50/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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