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Senior Data Engineer Jobs in Rochester Hills, MI

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... You will collaborate with Data Engineers and Software Engineers to develop robust analytics ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description ... Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for ...

Dtna

Senior Data and AI Specialist

Detroit, MI · On-site

$117K - $150K/yr

The position combines expertise in data engineering, business intelligence, AI/ML architecture, analytics delivery, and technical project leadership. The Senior Data and AI Specialist acts as a ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Senior Data Product Manager Dearborn, MI( Hybrid 4days onsite 1day remote) W2 Position Description ... The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership ... Conceptual knowledge of software programming fundamentals Preferred Qualifications * Domain ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Rochester Hills, MI

Senior Data Engineer information

See Rochester Hills, MI salary details

$74.6K

$116.3K

$161.1K

How much do senior data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior data engineer in Rochester Hills, MI is $116,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineer jobs in Rochester Hills, MI?

For Senior Data Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Rochester Hills, MI look for?

The top searched job categories for Senior Data Engineer jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Senior Data Engineer jobs?

Cities near Rochester Hills, MI with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.

Senior Big Data Engineer

Pi-Square Technologies

Farmington Hills, MI • On-site

$54.75 - $72.50/hr

Other

Posted 19 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

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