Data Operations Engineer

Brooksource; Johnstown (Cambria County); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading IT consultancy is seeking a Data Operations Engineer to enhance data governance and quality across federal environments. This role requires 4-6 years of relevant experience, strong skills in SQL and Python, and knowledge of federal data regulations. Responsibilities include leading enterprise data governance, designing ETL/ELT pipelines, and ensuring compliance with standards. Join a team dedicated to mission-critical decision-making in a mid-senior level full-time position.

Qualifications

• Strong hands-on experience with SQL and Python.
• Experience with data governance, data quality, and metadata management in enterprise environments.
• Ability to obtain and maintain a Secret clearance.

Responsibilities

• Lead enterprise data governance and stewardship.
• Design, build, and support automated ETL/ELT pipelines.
• Implement data quality, validation, and metadata management frameworks.
• Monitor and audit data usage to meet regulatory requirements.

Skills

SQL

Python

Data modeling

ETL/ELT processes

Data governance

Data quality

Metadata management

Communication skills

Education

Bachelor’s degree in a related field and 4–6 years of experience

Master’s degree in a related field and 2–4 years of experience

Tools

Airflow

Kafka

Data catalogs

Graph databases

CI/CD pipelines

Job description

We are seeking a Data Operations Engineer to support enterprise data governance, quality, and compliance initiatives across federal and DoD environments. This role works at the intersection of data engineering, cybersecurity, and analytics—partnering with AI/ML teams, enterprise architects, and cyber leaders to establish a secure, compliant single source of truth for enterprise data used in mission‑critical decision‑making.

Key Responsibilities

• Lead enterprise data governance and stewardship, ensuring compliance with CMMC Level 2, NIST, and federal data protection standards
• Design, build, and support automated ETL/ELT pipelines across structured, semi‑structured, and unstructured data sources
• Implement data quality, validation, and metadata management frameworks to support analytics and AI/ML initiatives
• Monitor and audit data usage to meet regulatory requirements for CUI/FOUO data
• Support hybrid data platforms, including Azure Government, on‑prem systems, and enterprise storage solutions
• Collaborate with IT, cybersecurity, engineering, and business teams to enforce data standards, documentation, and best practices

Required Qualifications

• Bachelor’s degree with 4–6 years of experience (or Master’s + 2–4 years) in data engineering, data operations, or governance
• Strong hands‑on experience with SQL, Python, data modeling, and ETL/ELT processes
• Experience with data governance, data quality, and metadata management in enterprise environments
• Working knowledge of federal data regulations (GDPR, CCPA, HIPAA, DoD data handling)
• Strong communication skills and ability to explain technical concepts to varied stakeholders
• Ability to obtain and maintain a Secret clearance

Preferred Qualifications

• Experience with Azure Gov/GCC‑High, AWS GovCloud, or modern cloud data platforms
• Exposure to tools such as Airflow, Kafka, data catalogs, graph databases, or CI/CD pipelines
• Data governance or cloud certifications (CDMP, DGSP, Azure, AWS, GCP)

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Information Technology and Engineering

Industries

• IT Services and IT Consulting and Engineering Services