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Data Engineer Python Jobs in Michigan (NOW HIRING)

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 ... Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Role Overview We are looking for a DevOps / Data Engineer to build and manage scalable cloud ... Develop and support data pipelines and ETL workflows using Python and SQL * Work with Databricks or ...

3Core Systems, Inc.

Sr. Data Engineer

East Lansing, MI · On-site

$110K - $132K/yr

Job Title: Sr. Data Engineer - MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms Location ... Nice to Have: • Python for data processing. Skill Set Azure, SQL, T-SQL, ETL, ELT, MS Fabric ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Expertise in Python and other cloud-based data wrangling tools/applications Our preferred ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

Strong proficiency in Python for data engineering work-including pipeline development, data transformation, automation scripting, and cloud function development. Familiarity with other modern ...

KLA

Data Engineer - Palantir

Ann Arbor, MI · On-site

$112K - $134K/yr

They are seeking a Data Engineer to design, develop, and manage end-to-end solutions on the ... Python and SQL. • Build and maintain Foundry Ontologies, modeling business entities ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Ford Motor Company

Data Engineer

Dearborn, MI

$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 ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$99K - $232K/yr

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 ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

GitHub, Google Cloud Platform, Big Query, Python, Machine Learning Skills Preferred: * ALGORITHMS, TensorFlow, Scikit-learn, Relational Databases, Data Model Experience Required: * Engineer 3 Exp: 5+ ...

Saanvi Technologies

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 ...

Corning

$104K - $125K/yr

... Python and building data pipelines in a production environment. - Strong hands-on experience with ... Engineering initiatives.- Strong communication and collaboration skills, with the ability to ...

Corning

$104K - $125K/yr

... Python and building data pipelines in a production environment. - Strong hands-on experience with ... Engineering initiatives.- Strong communication and collaboration skills, with the ability to ...

HTC Global Services Inc

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for ... Proficiency in Python. Experience with Machine Learning. Master's degree. Preferred Qualifications ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for ... Proficiency in Python. * Experience with Machine Learning. * Master s degree. Preferred ...

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All JobsData Engineer Python JobsData Engineer Python Jobs in Michigan

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 are popular job titles related to Data Engineer Python jobs in Michigan? For Data Engineer Python jobs in Michigan, the most frequently searched job titles are:
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:
Data Engineer Python jobs near you
Sr. Data Engineer

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Re-posted 29 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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