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Data Engineer Python Jobs in Michigan (NOW HIRING)

Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Data Engineer Employment Type: Full-Time, Mid-level CGS is seeking a passionate and driven Data ... Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and ...

Project - Data Engineer

Lansing, MI · On-site

$104K - $125K/yr

Responsibilities : • Build and enhance data pipelines on AWS using Python to ingest, transform ... apply team engineering standards. • Communicate regularly with Engagement Managers (Directors ...

New

Project - Data Engineer

Midland, MI · On-site

$90K - $108K/yr

Responsibilities : • Build and enhance data pipelines on AWS using Python to ingest, transform ... apply team engineering standards. • Communicate regularly with Engagement Managers (Directors ...

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Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: * Data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Fulltime Must Have Technical/Functional Skills • Programming Languages ... Proficient in SQL, Pyspark, PythonData Pipeline & ETL: Proficiency in building ETL/ELT ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

SQL, Python, SaaS Experience Required: Engineer 3 Exp: 7+ years Data Engineering work experience Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Engineer

Detroit, MI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Project - Data Engineer

Midland, MI

$98K - $118K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ... Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to ...

New

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Project - Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ... Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to ...

New

Data Engineer

Flint, MI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Project - Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ... Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to ...

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Data Engineer Python information

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

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

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What job categories do people searching Data Engineer Python jobs in Michigan look for? The top searched job categories for Data Engineer Python jobs in Michigan are:

$97K - $125K/yr

Other

Posted 16 days ago


Job description

Data Engineer

Agency Name: Detroit Wayne Integrated Health Network

Agency Contact: Madelynn Nizyborski

Position Type: Full Time

Job Type: Permanent

County: Wayne

Salary Range: $97,726 - 125,032 per Year

Send applications to workforcenow.adp.com

Please include your resume when applying.

Position Title: Data Engineer

Department: Information Technology

Reports To: Director of Business Analytics and Customer Engagement

Job Type: Full-Time

Grade: 10

Role Summary

We are seeking a Data Engineer to design, build, and maintain the data systems and pipelines that power our organization's analytics and operational capabilities. This role is responsible for architecting reliable, scalable, and secure data infrastructure that enables business intelligence, system integrations, and data-driven decision making across the enterprise.

This is a senior technical role focused on hands-on engineering and platform ownership, not people management.

What You'll Do

Data Engineering & Pipeline Development

Design, build, and maintain scalable data pipelines and integration workflows across enterprise systems

Develop and support data movement processes using APIs, ODBC, SFTP, and similar integration patterns

Build and optimize data models and structures for consistency, performance, and long-term maintainability

Implement and support ELT/ETL processes using tools such as SSIS, Azure Data Factory, Snowflake, or similar platforms

Ensure data structures are aligned to business needs and built for reuse and extensibility

Data Reliability, Integrity and Performance

Ensure data is accurate, consistent, and protected across all systems and pipelines

Monitor, troubleshoot, and resolve data quality issues and processing bottlenecks

Document data flows, dependencies, lineage, and system structures

Proactively surface risks related to data integrity, pipeline reliability, or data interpretation

Security & Compliance

Ensure PHI and sensitive data are handled in accordance with security and compliance requirements

Follow secure credential handling and environmental standards across all data platforms

Support audit readiness through traceable, well-documented work and processes

Collaboration

Partner with technical leadership to refine and advance data architectural patterns

Work closely with application, infrastructure, analytics, and security teams to deliver integrated data solutions

Help design data solutions that support new systems, reporting needs, and third-party integrations

Participate in code and design reviews and incorporate feedback constructively

Serve as a technical leader and go-to resource for the analytics team, providing mentorship, guidance, and quality review on analytical work produced by data analysts

Help analysts grow their SQL, data modeling, and analytical reasoning skills through regular feedback and collaborative problem solving

Provide technical guidance to less experienced team members without formal supervisory responsibility

Decision Making Scope

Owns technical design decisions for data pipelines and integration patterns, ensuring alignment with architectural standards

Acts as a technical anchor for the analytics team, helping set the bar for data quality, analytical rigor, and sound methodology

Recommends improvements to tooling, modeling approaches, and data platform configurations

Escalates architectural conflicts or data governance concerns when necessary

Contributes to the evolution of data standards based on emerging business and technical needs

Required Qualifications

7+ years of hands-on experience in data engineering, data integration, or a closely related technical discipline

Strong proficiency in SQL and relational data modeling

Experience building and maintaining data pipelines and ELT/ETL workflows

Experience with Azure data services, including Azure Data Factory and Azure SQL

Experience with cloud data platforms such as Snowflake or comparable technologies

Experience with data integration patterns including API, ODBC, and SFTP

Proficiency in scripting and automation using Python, PowerShell, or similar languages

Strong troubleshooting and problem-solving skills across complex, multi-system environments

Preferred Qualifications

Experience administering and maintaining SQL Server or similar relational database platforms

Knowledge of backup, recovery, and high availability strategies

Experience with database performance tuning including query optimization and index management

Experience writing and maintaining SSRS reports

Familiarity with database patching, maintenance, and operational health monitoring

Experience working in security-focused or regulated environments such as healthcare or behavioral health

Working Conditions:

Work is usually performed in an office setting but requires the employee to drive to different sites throughout Wayne County and the State of Michigan.

This description is not intended to be a complete statement of job duties and responsibilities, rather to act as a general description of the essential functions performed. Management retains the discretion to add or change the position at any time.

Please Note: DWIHN requires proof of being fully vaccinated for COVID-19 as a condition of employment. Medical or religious accommodations or other exemptions that may be required by law, will be approved when properly supported. Further information will be provided during the recruitment process.

The Detroit Wayne Integrated Health Network is an Equal Opportunity Employer