Data Catalog Engineer @Fearless
Data and Analytics
Salary usd 96,132 - 16..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 3wks ago

[Hiring] Data Catalog Engineer @Fearless

3wks ago - Fearless is hiring a remote Data Catalog Engineer. πŸ’Έ Salary: usd 96,132 - 162,462 per year πŸ“Location: USA

Role Description

We are seeking a Data Catalog Engineer as part of our Consultant, Data & Analytics career path to support a large federal agency's enterprise data modernization initiative focused on building and operating a secure, cloud-native data platform. This is a fully remote role.

The consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. This role will possess and/or develop the skills to be able to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency.

Your Responsibilities in this Role:

  • Configure and maintain enterprise data catalog systems to ensure metadata accuracy, completeness, and accessibility across the platform.
  • Implement and manage data lineage tracking to provide transparency into data origins, transformations, and dependencies.
  • Define and enforce governance policies within Databricks Unity Catalog to support secure data access and compliance.
  • Collaborate with data stewards and business users to gather requirements and translate governance concepts into actionable catalog standards.
  • Establish and maintain taxonomies and metadata standards that improve data discoverability and usability across the enterprise.
  • Support data stewardship initiatives by providing technical guidance on catalog tooling and governance best practices.
  • Monitor and improve catalog quality through regular audits, validation processes, and stakeholder feedback.
  • Communicate metadata, governance, and data lineage concepts to technical and non-technical stakeholders, providing recommendations that improve data discoverability and trust.

Qualifications

  • Minimum of 4 years of experience in data engineering, data governance, or metadata management.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related field, or equivalent work experience.
  • Ability to obtain and maintain Public Trust clearance.
  • Experience managing enterprise data catalog platforms and implementing metadata management solutions.
  • Proven experience configuring and using Databricks Unity Catalog for governance and access control.
  • Demonstrated ability to work with data governance tools such as Immuta, Collibra, or similar platforms.
  • Strong understanding of data lineage, taxonomy development, and metadata modeling practices.
  • Experience collaborating with non-technical stakeholders to define and implement data governance policies and standards.
  • Demonstrated ability to communicate technical governance concepts and metadata standards to both technical and non-technical audiences.

Requirements

  • Experience supporting federal government, healthcare, or other highly regulated environments with complex data governance, security, and compliance requirements.
  • Experience implementing enterprise data governance or metadata management during large-scale cloud modernization or data migration initiatives.
  • Experience contributing to enterprise data governance programs, including governance councils, data stewardship initiatives, or organization-wide metadata standards.

Benefits

  • Flexible, life-friendly schedules.
  • 100% coverage for our medical HSA plan + HSA contributions.
  • Dental & vision covered 100% for you and your dependents.
  • Competitive premiums for HMO/PPO and dependent coverage.
  • 401(k) with 4% match & immediate vesting.
  • Paid Parental Leave and 12 weeks paid FMLA.
  • Generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave.
  • Up to 15 days for Jury Duty and Bereavement Leave.
  • Education, wellness, and tech allowances.
  • Referral bonus: $6K–$12K for each successful referral.
  • Pet insurance & discount plans.
  • Employee Assistance Program (EAP).
  • Legal support, life insurance, disability coverage.
  • Performance-Based Bonuses.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Catalog Engineer @Fearless
Data and Analytics
Salary usd 96,132 - 16..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 3wks ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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