Data Cataloging Engineer

Guidehouse Inc.
Washington, DC, United States
9 days ago
Apply on www.dcjobsite.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$74,000.0 - $124,000.0
Working hours
Regular working hours

Tech stack

Business Analytics Applications Information Engineering Data Governance Data Infrastructure Digital Assets Meta-Data Management Management of Software Versions Data Ingestion Apache Spark SC Clearance Data Lakes Data Lineage
+2 more
Data Management Databricks

Job description

  • Build, maintain, and enhance enterprise metadata catalogs to ensure datasets are fully documented, traceable, and discoverable for mission stakeholders.
  • Implement data governance and cataloging standards aligned with Advana’s architecture.
  • Operate within Databricks-based environments to capture, structure, and manage metadata for diverse data assets.
  • Collaborate with data engineers, platform teams, and mission analysts to ensure catalog completeness, quality, and alignment with government data governance practices.
  • Support ingestion workflows by tagging, classifying, and documenting datasets as they enter the ecosystem.
  • Monitor metadata accuracy, resolve catalog inconsistencies, and update documentation as datasets evolve.
  • Provide support for auditability, data lineage, schema versioning, and compliance-related metadata requirements.
  • Work on-site at government facilities in Washington, DC or Northern Virginia, or remotely depending on project needs.

Requirements

  • Active Secret clearance.
  • Experience supporting or working within federal government data environments.
  • Hands-on experience with Databricks, including Delta Lake, metadata management, and data ingestion workflows.
  • Understanding of enterprise data governance practices including lineage, cataloging, quality, and stewardship.
  • Ability to document datasets, schemas, transformations, and lineage in a structured, repeatable manner.
  • Strong collaboration skills to work with both technical and mission stakeholders.

What Would Be Nice To Have :

  • Experience working within Advana or similar large-scale government analytics platforms.
  • Familiarity with Apache Spark, Unity Catalog, or other metadata-centric technologies in Databricks.
  • Knowledge of data governance frameworks such as DAMA or DoD data management policies.
  • Experience supporting federal data engineering or data governance workstreams tied to RFP submissions.

Benefits & conditions

The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace., * Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dcjobsite.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:02 min

Choosing the right data format and catalog engine

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

Videos

See all

Related articles

See all