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Open Data Jobs in Michigan (NOW HIRING)

Bespoke Labs

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Allendale, MI · On-site

$99K - $119K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Domino's Pizza

Data Scientist

Ann Arbor, MI

Drive new store openings in our domestic and largest international markets by transforming large ... Mine and synthesize across data sources to help address opportunities leveraging geospatial data ...

FastTek

Data Analyst

Okemos, MI

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054720 * Employees in this job function are responsible for designing, building ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1052627 * Employees in this job function are responsible for designing, building ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Committed code to improve open-source data/software engineering projects * Experience architecting cloud infrastructure and handling application migrations/upgrades. * GCP Professional Certifications.

Michigan Farm Bureau

Manager, Data Governance

Lansing, MI · On-site

$111K - $142K/yr

Manager, Data Governance US-MI-Lansing Job ID: 2026-8650 # of Openings: 1 Category: Actuarial Farm Bureau Center Overview Manager, Data Governance Objective Provide enterprise leadership for Data ...

Buckland Customs Brokers

Data Entry Clerk

Port Huron, MI · On-site

$16 - $21.50/hr

Data Entry Clerk Our Vision Our customers trust us to simplify the complex world of Customs and ... Buckland.com to apply to this current and open vacancy and to learn more about Buckland and the ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Prolim is hiring for a Data Warehouse Architect for a leading client Location: Lansing, MI (Hybrid ... Reason for opening: Backfill, team is in need of additional support * Interview Process: 60-minute ...

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 ...

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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 14, 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 Engineer

Bespoke Labs

Lansing, MI • On-site

$116K - $139K/yr

Full-time

Posted 27 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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