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Teradata Jobs in Michigan (NOW HIRING)

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Experience with RDBMS technologies such as DB2 and Teradata . * Exposure to Big Data ecosystems and distributed data processing. Nice to have Technical Skills: * Prior experience with ETL tools like ...

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... in Teradata Data Warehouse and ETL utilities. · Experience in AWS cloud and AI platform. · Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI. · Strong ...

Agile Tech Labs

Data Warehouse Architect 5

Lansing, MI · On-site

Contract / Requirement: * 8+ years Teradata experience - top requirement * Experience supporting the loading of data from multiple source systems * Ability to provide targeted training and technical ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Responsibility for Teradata security and access. * Conduct data architecture reviews and audits to ensure alignment with enterprise standards * Create and maintain comprehensive documentation of data ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Responsibility for Teradata security and access. * Conduct data architecture reviews and audits to ensure alignment with enterprise standards * Create and maintain comprehensive documentation of data ...

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How much do teradata jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for teradata in Michigan is $46.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $50.29 per hour, depending on experience, location, and employer.

What exactly does Teradata do?

A Teradata professional typically works with data warehousing and analytics, managing large-scale databases and developing solutions for data storage, retrieval, and analysis. They often use tools like SQL and may require knowledge of database management systems and data modeling to support business intelligence efforts.

What is a Teradata?

A Teradata job typically involves working with Teradata databases, which are used for large-scale data warehousing and analytics. Professionals in this role may be responsible for database design, performance tuning, ETL processes, and writing complex SQL queries. Common job titles include Teradata Developer, Teradata DBA, and Teradata Consultant. These roles require expertise in Teradata architecture, SQL, and tools like BTEQ, FastLoad, and MultiLoad.

Is Teradata a good place to work?

Teradata offers roles such as data analysts and database administrators, often requiring knowledge of SQL and data warehousing tools. The company is known for a collaborative environment and competitive benefits, making it a reputable employer in the data management industry.

What are some typical challenges faced in a Teradata role, and how can I prepare for them?

Professionals in Teradata roles often encounter complex data integration and performance optimization challenges, particularly when working with large-scale, mission-critical enterprise systems. You may need to troubleshoot issues related to query performance, data consistency, and ensure seamless data flow between multiple business units. Staying current with the latest Teradata releases, understanding best practices in database optimization, and continual learning through hands-on experience can help overcome these obstacles. Being proactive in collaborating with data architects, BI developers, and business analysts will also facilitate more effective and efficient solutions.

What are the key skills and qualifications needed to thrive in a Teradata role?

To thrive in a Teradata role, you need expertise in database management, data warehousing concepts, and strong proficiency in SQL and Teradata utilities, typically supported by a degree in computer science or a related field. Experience with ETL tools, performance tuning, and relevant certifications like Teradata Certified Professional or similar are highly valued. Strong analytical thinking, effective communication, and the ability to work collaboratively help you stand out in team-oriented environments. These skills ensure the efficient design, maintenance, and troubleshooting of Teradata databases that power critical business decisions.

What are the most commonly searched types of Teradata jobs in Michigan? The most popular types of Teradata jobs in Michigan are:
What are popular job titles related to Teradata jobs in Michigan? For Teradata jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Teradata jobs in Michigan look for? The top searched job categories for Teradata jobs in Michigan are:
Teradata jobs near you
Infographic showing various Teradata job openings in Michigan as of July 2026, with employment types broken down into 81% Full Time, 4% Part Time, and 15% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $97,332 per year, or $46.8 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Re-posted 8 days ago

Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.