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Concurrent Technologies Corporation · 5 hours ago

Data Operations Engineer

Johnstown, PA

Full-time

Onsite

Mid, Senior Level

4+ years exp

Concurrent Technologies Corporation is at the forefront of digital transformation, seeking a Data Operations Engineer to enhance enterprise intelligence. The role involves collaborating with cybersecurity experts and AI/ML innovators to establish data governance strategies, ensuring compliance with critical standards while managing sensitive data assets.

Non Profit

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Serve as the primary custodian of enterprise data assets to ensure adherence to corporate policies, governance frameworks, and legal and best practice data standards including CMMC Level 2, NIST cybersecurity frameworks, and federal data protection requirements. Oversee data governance across hybrid environments, including cloud (e.g., Azure Government) and on-premises systems

Design, implement, and maintain automated data ingestion, transformation, and validation processes into organizational workflows and decision-making processes. Build data pipelines across diverse data sources, including structured (SQL/Oracle), semi-structured (JSON, XML), and unstructured data (flat files, NetApp storage systems)

Collaborate with cybersecurity experts and enterprise architects to develop and maintain data governance policies, metadata management systems, and data lifecycle processes supporting CTC’s sites

Monitor and audit data usage to ensure compliance with organizational policies, regulatory requirements, and cross-domain security standards for unclassified environments that include Controlled Unclassified Information (CUI) and For Official Use Only (FOUO) data. Conduct regular assessments of data assets to identify risks, opportunities, and areas for improvement

Implement and maintain data quality frameworks, identify and resolve data inconsistencies, and support AI/ML initiatives that enhance decision-making to ensure data quality, integrity, and security

Support implementation of data governance tools, enterprise platforms, cloud-based platforms (including GovCloud-high GCC-high), and technologies like graph databases and ontology management systems

Establish the guidelines and policy for the flat data storage solutions, including NetApp and other NAS/SAN systems, ensuring efficient data organization, retrieval, and lifecycle management. Optimize storage performance and scalability while maintaining compliance with data retention policies

Collaborate with cross-functional teams on data governance best practices, working closely with IT, cyber compliance, engineering, and business development teams across CTC's four technology divisions. Provide training and guidance on these best practices and standards

Develop and maintain data dictionaries, API standards, metadata schemas, and governance documentation to support data literacy across the organization

Stay informed about emerging trends, technologies, and regulations related to data governance and stewardship

Qualification

Data governanceData quality managementSQLPythonETL/ELT processesCloud platformsMetadata managementNIST complianceAnalytical skillsProblem-solving skillsCommunication skillsPresentation skillsAttention to detail

Required

Bachelor's Degree in Data Engineering, Information Systems, Computer Science, or related technical field with 4-6 years of experience, or Master's Degree with 2-4 years of experience

Demonstrated experience in data governance, data quality management, and metadata management in enterprise environments

Strong understanding of federal data privacy regulations including GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), HIPAA, and DoD data handling requirements

Proficiency in SQL, Python, R, and data modeling concepts with experience in ETL/ELT build processes

Experience with data governance tools, data cataloging platforms, and cloud-based Azure and M365 data services

Strong analytical and problem-solving skills with meticulous attention to detail and data accuracy

Excellent written and verbal communication skills with ability to present complex technical concepts to diverse stakeholders

Ability to obtain and maintain a Secret security clearance

Preferred

Active Secret clearance or higher

Experience working with DoD, Intelligence Community, or other federal agencies in data governance roles

Familiarity with CMMC compliance requirements, National Institute of Standards (NIST) frameworks, and federal acquisition regulations

Experience with open-source data processing technologies such as Apache Airflow, Kafka, Elasticsearch/Opensearch, Prefect, etc

Knowledge of graph databases, ontology development, and semantic data modeling

Knowledge of DevSecOps practices, containerization, orchestration, and Continuous Integration / Continuous Delivery (CI/CD) data pipeline development

Experience with ETL and data integration platform tools such as CloverDX, Informatica, MuleSoft, Talend, TIBCO, Data Factory, Glue, etc

Experience with cloud-based data services such as Azure (Azure SQL, Data Factory, Synapse, Databricks, etc.) and/or AWS (EC2, Glue, EMR, RDS, Redshift, etc.)

Experience with cross-domain solutions (CDS) and secure data transfer protocols

Certification in data governance (CDMP, DGSP)

Experience with Azure GCC-high

Experience with other cloud providers (AWS, GCP, Oracle)

Experience with GCC-high and GovCloud environments

Relevant certification(s) in Azure cloud platform and services. Certifications in other cloud platforms/services (AWS, GCP, Oracle)

Relevant operations, data, and development certifications across Azure, AWS, and/or GCP

Experience supporting safety and occupational health programs or emergency response systems

Background in applied research and development or technology transfer activities

Strong presentation skills for executive briefings and technical demonstrations