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Senior Data Integration Developer Jobs in Michigan

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Artificial Intelligence & Expert Systems - Experience developing or integrating AI/ML models and ... Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML ...

... Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

... Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Senior Power BI Developer Category: Software Development/ Engineering Main location: United States ... data integration. We're a close-knit team that has access to global resources. You'll have the ...

Data Engineer

Lansing, MI · On-site +1

$102.30K - $122.90K/yr

... SSIS (or equivalent ETL platforms) required. Current knowledge of computer hardware, operating ... If a candidate is not selected, a Senior Data Engineer may be considered on the level of experience ...

Senior Data Engineer

Detroit, MI · On-site

$104.90K - $142.60K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116.10K - $139.50K/yr

Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible extension LOCAL ONLY * Design, develop, and maintain complex database ...

Senior Data Engineer

Jackson, MI

$96.40K - $131K/yr

Senior Data Engineer #1052686 If you're looking for a career that will provide a challenging work environment and many opportunities to learn, our company is the place for you. Join our team and ...

Senior Data Engineer

Detroit, MI · On-site

$104.90K - $142.60K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ...

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Showing results 1-20

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 May 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 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.

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 most commonly searched types of Data Integration Developer jobs in Michigan? The most popular types of Data Integration Developer jobs in Michigan are:
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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:
Data Engineer

Data Engineer

FastTek

Dearborn, MI

$105.20K - $126.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Data Engineer #1054984
Job Description:
  • Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

Key Responsibilities:
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:
GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API
  • GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data - Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing - Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems - Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API - Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:
Google Cloud Platform
  • Google Cloud Platform - Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:
  • Senior Engineer Exp: Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML

Experience Preferred:
  • As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures.
  • You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices.
  • By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.
  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.