ZipRecruiter

Log In

1

Open Data Jobs in Michigan (NOW HIRING)

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

Aptiv

Data Platform Architect

Troy, MI · On-site

$60.50 - $77.75/hr

We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has ...

Aptiv PLC

Data Platform Architect

Troy, MI · On-site

$60.50 - $77.75/hr

We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1056187 Position Description: Employees in this job function are ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

FastTek

Data Warehouse Architect

Lansing, MI

Data Warehouse Architect #1060333 The ETL Developer is responsible for designing, developing, and ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineering Engineer #1057469 Position Description: Role Overview: We are looking for a Senior ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

Reliable Software Resources

AI AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Build OCR and document extraction workflows using AWS AI services and open-source libraries. * Extract metadata, entities, tables, and key-value information from documents. * Store extracted data ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Initiate open and honest coaching conversations at all levels. Make difficult decisions and take ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Initiate open and honest coaching conversations at all levels. Make difficult decisions and take ...

Orb Aerospace

Open Application

Lowell, MI · On-site

$150K/yr

Send us your project portfolio and explain what you can do; we're open to being convinced. orb.aero ... If you would like more information about how your data is processed, please contact us.

Orb Aerospace

Open Application

Lowell, MI · On-site

Send us your project portfolio and explain what you can do; we're open to being convinced. orb.aero ... If you would like more information about how your data is processed, please contact us. apply for ...

Orb Aerospace

Open Application

Lowell, MI · On-site

Send us your project portfolio and explain what you can do; we're open to being convinced. orb.aero ... If you would like more information about how your data is processed, please contact us.

FastTek

Data Warehouse Architect

Lansing, MI · On-site

Data Warehouse Architect #1060519 The Enterprise Data Warehouse (EDW) service offered by DTMB ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

next page

Showing results 1-20

All JobsOpen Data JobsOpen Data Jobs in Michigan

Open Data information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do open data jobs pay per year?

As of Jul 16, 2026, the average yearly pay for open data in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is open data?

Open data refers to data that is made publicly available for anyone to access, use, and share without restrictions. It is typically provided by governments, organizations, or institutions in formats that are easy to read and process, such as CSV or JSON files. The goal of open data is to promote transparency, innovation, and informed decision-making by making information freely available to the public. Open data can be used in a variety of fields, including research, journalism, business, and civic engagement.

What is the difference between Open Data vs Data Analyst?

AspectOpen DataData Analyst
Required CredentialsNone specific; open data is publicly availableBachelor's degree in data science, statistics, or related field
Work EnvironmentPublic repositories, government portals, open data platformsCorporate offices, consulting firms, or data teams within organizations
Employer & Industry UsageGovernment agencies, research institutions, NGOsBusinesses, marketing, finance, healthcare sectors
Common Search & Comparison IntentUnderstanding open data sources and accessibilityAnalyzing data to derive insights for decision-making

Open Data involves publicly available datasets used for research, transparency, or public benefit, while Data Analysts interpret and analyze data to support organizational decisions. Both roles require analytical skills, but Data Analysts typically have specialized training and work within private or corporate environments, whereas Open Data focuses on data sharing and accessibility for the public or research purposes.

What are some common challenges faced by professionals working in Open Data roles when collaborating with different departments?

Professionals in Open Data roles often encounter challenges such as varying data standards across departments, differing levels of data literacy, and concerns about data privacy or security. Building consensus on data sharing protocols and ensuring data quality can require extensive communication and advocacy. Effective Open Data specialists foster collaboration by translating technical concepts into accessible language and working closely with IT, legal, and policy teams to align on best practices and compliance.

What are the key skills and qualifications needed to thrive as an Open Data Specialist, and why are they important?

To thrive as an Open Data Specialist, you need strong data analysis skills, proficiency in data management, and a background in fields such as information science, statistics, or computer science. Familiarity with open data platforms, data visualization tools, and knowledge of data standards or metadata schemas are typically required, along with relevant certifications like Certified Open Data Practitioner. Excellent communication, collaboration, and problem-solving skills help translate complex data findings to diverse audiences and stakeholders. These abilities are crucial for ensuring data transparency, accessibility, and impactful use of open data resources.
What are popular job titles related to Open Data jobs in Michigan? For Open Data jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Open Data jobs in Michigan look for? The top searched job categories for Open Data jobs in Michigan are:
Open Data jobs near you
Data Warehouse Architect

Data Warehouse Architect

PROLIM Global Corporation

Lansing, MI • On-site

Full-time

Posted 4 days ago

Job description

Prolim is hiring for a Data Warehouse Architect for a leading client
Location: Lansing, MI (Hybrid)
Hybrid schedule: Required onsite days- Wednesdays and Thursdays
Contract: Long term
Job Responsibilities:
  • Responsible for complex Common Batch Framework and Common Scheduler to ensure current and reliable data is available for critical business processes and decision making.
  • Responsible for Data Warehouse change management infrastructure and all promotions of code and ddl; performing build engineer tasks for both manual and automated promotion processes.
  • Responsibility for complex Linux security model on DW ETL servers. (Servers are administered by another group, but our team is responsible for the security structure and authorizes user access to the groups and sudos)
  • 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 architecture, processes, and solutions
  • Responsible for providing support for escalated Data Warehouse issue troubleshooting and resolution.
  • Evaluate and recommend new data technologies and tools to improve performance and scalability
  • Ensure data quality, accuracy, and effective use of enterprise data assets
  • Manage and support data integration processes, including ETL workflows across multiple systems
  • Collaborate with external vendors and third-party service providers as needed
  • Support patch management, system upgrades, and ongoing system maintenance
  • Monitor system performance and troubleshoot technical issues across data platforms
  • Perform data profiling and implement data quality rules for assessment and validation
  • Execute data cleansing and standardization using both built-in and custom data rules
  • Develop and maintain disaster recovery and backup strategies for data systems
  • Lead efforts to migrate data warehouse processes to standardized/common frameworks
  • Conduct elevated access reviews and user audits to ensure compliance
  • Identify and remediate audit findings related to data systems and security

Required Qualifications:
  • 8+ years Teradata experience - top requirement
  • Experience supporting the loading of data from multiple source systems
  • Ability to provide targeted training and technical guidance to development teams for troubleshooting and batch support
  • Minimum of 5 years of Linux experience
  • Proven ability to work both independently and collaboratively within a team environment
  • Strong decision-making skills with the ability to determine appropriate solutions while adhering to SoM and MDHHS/DTMB policies
  • Strong problem-solving and analytical thinking skills, particularly in troubleshooting complex data and system issues
  • Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders

Preferred Qualifications:
  • Previous government experience or State of Michigan experience
  • Experience with cloud-based BI tools

Additional Notes:
  • Reason for opening: Backfill, team is in need of additional support
  • Interview Process: 60-minute Virtual Interview via MS Teams (video required). Candidates should join from a laptop and be prepared to share their screen if requested. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of virtual interview to validate candidate.

Apply