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Python Etl Developer Jobs in Michigan (NOW HIRING)

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Build and optimize ETL processes using Databricks, Python, and Scala * Develop and support data ...

Omega Solutions, Inc.

Hadoop Developer

Dearborn, MI · On-site

... Python or equivalent scripting language • Must have experience with ETL tools • Must have ... programming • Must have 3+ years relevant professional experience working with Hadoop (HBase ...

US Tech Solutions

Java Developer

Ann Arbor, MI

$50 - $64.50/hr

Shell Scripts * ETL Tool - Data Services * Business Objects/Cognos * Vendor Integration Experience Application/Software Developers are involved in the full systems life cycle and therefore are ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Python, PySpark, TypeScript, ETL, dashbords

Georgia IT, Inc.

Data Engineer - Detroit, MI

Detroit, MI · On-site

$113K - $135K/yr

Georgia IT, Inc. is a company seeking a Data Engineer to support various data-related projects ... The role involves working with relational databases, ETL development, and cloud technologies to ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Design and maintain ETL pipelines and API integrations (REST/SOAP) * Translate union contracts ... SQL, Python, SaaS Experience Required: Engineer 3 Exp: 7+ years Data Engineering work experience ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

... * ETL/ELT: Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt); * Big Data Tech: Hadoop, Spark, Kafka; * Programming/API: Python ...

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Showing results 41-60

All JobsPython Etl Developer JobsPython Etl Developer Jobs in Michigan

Python Etl Developer information

What is the difference between Python Etl Developer vs Data Engineer?

AspectPython Etl DeveloperData Engineer
Primary FocusDeveloping ETL processes using PythonBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsPython, SQL, ETL tools, data modelingPython, SQL, cloud platforms, big data technologies
Work EnvironmentData teams, analytics departmentsData engineering teams, infrastructure teams
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, large-scale data systems

While both roles involve working with data and Python, Python ETL Developers primarily focus on creating and maintaining ETL processes for data integration. Data Engineers have a broader scope, designing entire data pipelines and infrastructure to support analytics and data science initiatives.

Infographic showing various Python Etl Developer job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Sr. Data Engineer - AWS, Snowflake, Python

Detroit, MI

IntraEdge
IT Services • 1 - 5K employees
Learn more about IntraEdgeexternal

$113K - $136K/yr

Full-time

Re-posted 5 days ago

Job description

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts.

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts. 
Education:Employment Type: FULL_TIME
IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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