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Senior Data Integration Developer Jobs in Michigan

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ...

New

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ...

New

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ...

New

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ...

New

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ...

New

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply ... They are seeking a Senior Data Engineer to design and build data pipelines that ensure the ...

Sr Data Architect

Troy, MI · On-site

$140 - $170/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Systems Integration & Ownership: Own the day-to-day health and data flow of integrations connecting ...

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) • Expert Python & SQL Developer • Strong AWS Experience (Lambda ...

New

MI · On-site

$102K - $139K/yr

Duration : 1 year Qualifications The Senior Data Engineer will implement data-oriented solutions to ... You will be a member of an integrated squad working together to deliver successful outcomes on the ...

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) • Expert Python & SQL Developer • Strong AWS Experience (Lambda ...

New

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Required Experience (Must Have) • Expert Python & SQL Developer • Strong AWS Experience (Lambda ...

New

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company ... As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Job Type Full-time Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer ... Developer Orbion help build and maintain Orbion's internal application platform and enterprise ...

Sr Data Architect

Troy, MI · On-site

$64 - $85.50/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Systems Integration & Ownership: Own the day-to-day health and data flow of integrations connecting ...

Sr Data Architect

Troy, MI · On-site

$120 - $170/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Systems Integration & Ownership: Own the day-to-day health and data flow of integrations connecting ...

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The ... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Showing results 41-60

Senior Data Integration Developer information

See Michigan salary details

$38

$53

$62

How much do senior data integration developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for senior data integration developer in Michigan is $53.52, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $59.52 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a senior data integration developer?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What are the most commonly searched types of Data Integration Developer jobs in Michigan?

The most popular types of Data Integration Developer jobs in Michigan are:

What are popular job titles related to Senior Data Integration Developer jobs in Michigan?

For Senior Data Integration Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Data Integration Developer jobs in Michigan look for?

The top searched job categories for Senior Data Integration Developer jobs in Michigan are:

What cities in Michigan are hiring for Senior Data Integration Developer jobs?

Cities in Michigan with the most Senior Data Integration Developer job openings:

What are popular job titles related to Senior Data Integration Developer jobs in MI?

For Senior Data Integration Developer jobs in MI, the most frequently searched job titles are:

Senior Data Scientist (Consultant)

Strategic Staffing Solutions

Detroit, MI • Hybrid

Full-time

Posted 14 days ago


Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Senior Data Scientist (Consultant) Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 months with opportunity to extend Competitive salary with benefits Role Summary We are looking for a senior practitioner who has successfully built and deployed at least one production-grade Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment, monitoring, and operational support.

The candidate should also have strong expertise in classical machine learning and statistics and be experienced in delivering explainable, auditable AI solutions within regulated, human-in-the-loop environments. Additional details: Machine Learning & Applied AI Strong background in supervised and unsupervised learning, including: Classification Ranking Clustering Anomaly detection Predictive modeling Experience selecting evaluation metrics and designing representative test datasets Hands-on experience with explainability techniques such as SHAP, LIME, and feature importance analysis Experience designing human-in-the-loop AI systems with review, escalation, override, and feedback mechanisms Generative AI & Retrieval Production experience with: RAG architectures Embeddings Semantic search Re-ranking Prompt engineering Vector databases Experience building enterprise copilots, assistants, or document-grounded decision-support systems Ability to evaluate retrieval quality, grounding, hallucination risk, answer quality, and failure modes Experience with open-source or locally hosted LLMs preferred Python & Software Engineering Advanced Python skills, including: Pandas NumPy Scikit-learn PyTorch (or similar deep learning framework) Ability to develop maintainable, production-quality code rather than notebook-only solutions Experience with: Git and code reviews Unit and integration testing CI/CD pipelines API development Docker or Podman Experience with agentic development is a plus Comfortable working in both local and cloud environments Data Engineering & Integration Strong SQL and ETL/ELT development skills Experience integrating: REST APIs Enterprise document repositories Workflow systems Batch and incremental data pipelines Experience with PostgreSQL, SQL Server, data lake architectures, data lineage, and data quality controls Ability to design resilient ingestion pipelines for documents, metadata, attachments, and changing source-system records *Beware of scams. S3 never asks for money during its onboarding process.