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Data Capture Jobs in Michigan (NOW HIRING)

Keel

Capture Manager

Saginaw, MI · On-site

As a Capture Manager at Keel Midwest, you will be responsible leading capture efforts to secure new ... Proficiency in typing and data entry along with Microsoft Office Suite is a requirement. EEO ...

Keel Platform LLC

Capture Manager

Saginaw, MI

As a Capture Manager at Keel Midwest, you will be responsible leading capture efforts to secure new ... Proficiency in typing and data entry along with Microsoft Office Suite is a requirement. EEO ...

Keel Midwest

Capture Manager

Saginaw, MI · On-site

Description: Overview: As a Capture Manager at Keel Midwest, you will be responsible leading ... Proficiency in typing and data entry along with Microsoft Office Suite is a requirement. EEO ...

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... capture from real robots and simulation environments. · Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs. · Enable simulation-to-real ...

Gordon Food Service

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically PostgreSQL and SQL Server). * Highly experienced in ...

University of Michigan

RESEARCH ASST I (TEMP)

Ann Arbor, MI · On-site

$18.75 - $26/hr

Additional responsibilities include entering research data into electronic data capture systems such as OnCore, MQUARK, SharePoint, REDCap, and MyDataHelps, as well as maintaining paper case report ...

Detroit IT

SQL Database Administrator

Troy, MI

$47.50 - $59.25/hr

Experience with Mirroring, Logshipping, Service Broker, Partitioning, Change Data Capture, Clustering and other options for SQL Server. Understanding of tuning. Configure SQL Server monitoring ...

Detroit IT

SQL Database Administrator

Troy, MI · On-site

$47.50 - $59.25/hr

... Data Capture, Clustering and other options for SQL Server. • Understanding of tuning. • Configure SQL Server monitoring utilities. • Install and configure new SQL Server instances. • Deploy ...

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How much do data capture jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for data capture in Michigan is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $37.50 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

Is 40 too late for data science?

Data capture roles often require strong attention to detail and familiarity with data management tools, but age is not a barrier to entering the field. Many professionals transition into data science or related roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and certifications can help improve job prospects regardless of age.

What qualifications do you need to be a data capturer?

To be a data capturer, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with data entry software and good organizational skills are also important, and some roles may require prior experience in data management or related fields.

Is data capturing a difficult job?

Data capturing is generally considered a straightforward job that requires attention to detail and accuracy. It often involves using software tools and following established procedures, making it accessible for many individuals. The difficulty level depends on the complexity of the data and the precision required, but it typically does not involve highly technical skills or physical labor.

What is a Data Capture job?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

What jobs make $1,000,000 a year?

In data capture roles, earning $1,000,000 annually is uncommon; such high salaries are typically found in executive, investment, or entrepreneurial positions. Highly specialized roles with significant experience, leadership responsibilities, or ownership stakes may reach this level, but they are rare in standard data capture jobs. Most data capture positions offer salaries well below this threshold.

What are the key skills and qualifications needed to thrive in the Data Capture position, and why are they important?

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

What are popular job titles related to Data Capture jobs in Michigan? For Data Capture jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Capture jobs in Michigan look for? The top searched job categories for Data Capture jobs in Michigan are:
Data Capture jobs near you
Infographic showing various Data Capture job openings in Michigan as of July 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person job distribution, with an average salary of $48,905 per year, or $23.5 per hour.

Senior Big Data Engineer

Pi Square Technologies LLC

Farmington Hills, MI • On-site

$54.75 - $72.50/hr

Full-time

Posted 2 days ago

New

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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