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Senior Data Integration Developer Jobs in Michigan

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design ... Support the integration of AI and machine learning capabilities into data workflows using AWS ...

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Understands how to integrate into a new team/organization - appreciates the history of current ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform, CloudFormation, HL7, FHIR Requirements: Senior data engineer with ...

HCL Global Systems

Sr. Data Architect

Farmington Hills, MI · On-site

$66.25 - $88.50/hr

... S, Power BI, Python and related tools. Minimum Qualifications Education: Bachelor degree in ... Five (5) years of progressive experience as a Software Developer, Systems Analyst, Computer ...

Cognizant Technologies

MI

$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 ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $180K/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 ...

Sun Communities, Inc.

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... data requirements, integration needs, constraints, and performance requirements Requirements ... Experience with CI/CD processes and Azure DevOps * Ability to effectively manage multiple and ...

Sun, Inc.

Senior Data Engineer

Southfield, MI

$97K - $132K/yr

... data requirements, integration needs, constraints, and performance requirements Requirements ... Experience with CI/CD processes and Azure DevOps * Ability to effectively manage multiple and ...

Sun Communities

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... data requirements, integration needs, constraints, and performance requirements Requirements ... Experience with CI/CD processes and Azure DevOps * Ability to effectively manage multiple and ...

Orbion Space Technology

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 ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

... data requirements, integration needs, constraints, and performance requirements Requirements ... Experience with CI/CD processes and Azure DevOps * Ability to effectively manage multiple and ...

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

As of Jun 29, 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 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 Senior Data Integration Developers?

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, and why are they important?

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.
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Senior Data Integration Developer jobs near you
Sr. Data Engineer

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Posted 11 days ago

Job description

Overview
The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business intelligence ecosystem. This role enables the organization to extract hidden insights from vast amounts of data-leveraging scalable ETL pipelines and cloud technologies-to empower smarter, faster decision-making across the business.
This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs into scalable technical solutions.
Responsibilities
  • Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and contribute to platform architecture decisions with direction from the Data Engineering Lead.
  • Develop and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns.
  • Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and AI consumption.
  • Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption.
  • Collaborate with business process owners, external consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency.
  • Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives.
  • Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans.
  • Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.
  • Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities.
  • Understand where data originates and how it is used across most process areas; ensure data lineage, quality, and integrity are maintained throughout the data lifecycle.
  • Champion continuous improvement across data engineering practices, tooling, and documentation standards.
  • May be required to perform other duties as assigned.

Qualifications
REQUIRED EDUCATION AND EXPERIENCE
  • Education: or B.S. degree in Computer Information Systems, Computer Science, or related field.
  • Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent Cloud Services); and experience with AWS data services (Lambda, Glue, Redshift, Bedrock, SageMaker). Candidates with fewer than 6 years of relevant experience will not be considered.

REQUIRED SKILLS
  • Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end.
  • Hands-on experience with IICS (Informatica Intelligent Cloud Services) for enterprise-scale ETL/ELT development, maintenance, and CI/CD pipeline integration.
  • Deep AWS expertise across Lambda, Glue, Redshift, Bedrock, and SageMaker; ability to architect and deploy cloud-native data solutions.
  • Experience working with generative AI services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases.
  • Proven ability to resolve bugs and incidents in production data pipelines; conducts root-cause analysis and implements preventive controls to maintain SLA commitments.
  • Must be a strong multitasker with the ability to manage and lean into multiple concurrent projects simultaneously; quickly and accurately shifts attention among dynamic priorities, picks up new initiatives with minimal ramp-up time, and delivers results across workstreams without sacrificing quality or missing deadlines.
  • Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges; translates problems into practical, scalable solutions.
  • Ability to develop, analyze, and modify complex processes, data structures, and models.
  • Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals.
  • Excellent listening, communication, interpersonal, and presentation skills; ability to work with and interview management, consultants, and subject matter experts to gather, identify, and document complex business requirements.
  • Organizational ability: demonstrates a systematic, process-oriented approach; excels at cutting through ambiguity and turning chaos into order across large, multi-stakeholder projects.
  • Client service skills: consistently provides attentive, courteous, and informed service; willing to listen and collaborate with customers; driven to deliver practical, sustainable results.
  • Quality control mindset: checks data pipelines, new data sets, and reports for errors related to both data accuracy and presentation.
  • Self-motivated, independent, and resourceful; able to plan, organize, and execute projects with minimal supervision.
  • Effective in a team-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and external consultants.
  • This position requires the ability to manage data flows, perform analysis, generate summary reports, and communicate by voice or data while connected from the office, at home, or while traveling by laptop or mobile device regularly without regard to time zone or day of the week.

WHAT'S NEXT, APPLY NOW!
BISSELL is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

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