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Open Source Intelligence Jobs in Michigan (NOW HIRING)

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Contributions to open-source data tools or communities. What We Offer * Competitive salaries ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Data Engineer

Grand Rapids, MI ยท On-site +1

$110K - $132K/yr

Contributions to open-source data tools or communities. What We Offer * Competitive salaries ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Data Engineer

Grand Rapids, MI ยท On-site +1

$110K - $132K/yr

Contributions to open-source data tools or communities. What We Offer * Competitive salaries ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... open-source solutions, and constructing IT infrastructure for organizations across a wide variety ... Intelligence (AI). The team has a proven track record serving large, market-leading organizations ...

CTIO AI Engineering Manager

Grand Rapids, MI ยท On-site

$73K - $244K/yr

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... open-source projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date ...

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... open-source projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date ...

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Showing results 1-20

Open Source Intelligence information

See Michigan salary details

$44.5K

$86K

$127.7K

How much do open source intelligence jobs pay per year?

As of Jul 5, 2026, the average yearly pay for open source intelligence in Michigan is $85,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $107,200.00 per year, depending on experience, location, and employer.

What is an Open Source Intelligence job?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are some typical challenges faced by professionals in Open Source Intelligence roles?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

What are the key skills and qualifications needed to thrive in the Open Source Intelligence position, and why are they important?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are the most commonly searched types of Open Source Intelligence jobs in Michigan? The most popular types of Open Source Intelligence jobs in Michigan are:
What are popular job titles related to Open Source Intelligence jobs in Michigan? For Open Source Intelligence jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Open Source Intelligence jobs? Cities in Michigan with the most Open Source Intelligence job openings:
Infographic showing various Open Source Intelligence job openings in Michigan as of June 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $85,955 per year, or $41.3 per hour.
Data Engineer

Data Engineer

CertifID

Grand Rapids, MI โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

At CertifID, we're on a mission to protect life's largest transactions from fraud. We help title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. As we scale, we're building a team of growth-minded individuals passionate about protecting our customers and transforming the way sensitive data is secured.
We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable data infrastructure, support data-driven decision-making, and play a key role in shaping the future of fraud prevention. You'll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.
What You Will Do
  • Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
  • Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.
  • Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.
  • Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.
  • Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.
  • Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.
  • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

What You Will Bring
  • 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.
  • Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
  • Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).
  • Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.
  • Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).
  • Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.
  • A bias toward action, comfort working in ambiguity, and a strong sense of ownership - you find answers rather than wait for direction.
Bonus Points
  • Experience in fintech, cybersecurity, or fraud prevention.
  • Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
  • Contributions to open-source data tools or communities.

What We Offer
  • Competitive salaries
  • Excellent medical, dental and vision benefits
  • Participation in the employee stock option program
  • Flexible Time Off policy
  • 401(k) with a generous company match and no vesting schedule
  • 12 company-paid holidays, 10 paid sick days and your birthday off!
  • Company-paid life insurance
  • Company paid short and long-term disability
  • Generous parental paid leave
  • Wellness reimbursement of $300/year
  • Remote worker reimbursement of $300/year
  • Professional development reimbursement

We value diversity, equity and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.