Software Engineer II- Data

OSC Global

5d • $94,714 - $149,575

About The Position

This position supports the identification, documentation, and integration of data assets within the Enterprise Data Management (EDM) environment. The Data Engineer II assists with developing and maintaining data pipelines, preparing and validating data for business use, and implementing data management practices using established tools, standards, and procedures. Under the guidance of senior team members, the position contributes to data migration, data quality, and cloud data platform initiatives while gaining experience with enterprise data engineering practices and technologies.

The role involves working with business stakeholders and technical teams to clarify data requirements, support cloud-based data services, maintain documentation, and follow organizational standards for data security, governance, and regulatory compliance. The position also requires safe work practices and compliance with the Integrated Safety Management System/Environmental Management System (ISMS/EMS).

Requirements

• Bachelor's degree and 2 or more years of experience, or an equivalent combination of education, training, and experience.
• Ability to pass a background and drug screening.
• Must have identification compliant with the Real ID Act at time of hire.
• Must be able to obtain a Department of Energy PIV badge.
• Working knowledge of data engineering concepts, including relational databases, data models, ETL/ELT processes, data quality, and data lifecycle management.
• Working knowledge of SQL and scripting or programming languages used for data engineering tasks.
• Familiarity with cloud-based data platforms and services.
• Understanding of data security, governance, and compliance requirements and ability to apply established controls in daily work.
• Familiarity with data quality validation, testing methodologies, and troubleshooting techniques.
• Understanding of flowcharts, data flow diagrams, and system integration concepts.
• Communicates technical information clearly to team members and stakeholders.
• Takes responsibility for assigned work and appropriately escalates issues, risks, or blockers.
• Demonstrates attention to detail and ability to follow established standards, processes, and procedures.
• Ability to research, organize, and analyze information, with guidance from senior team members when needed.
• Works effectively independently on assigned tasks and collaboratively as part of a team.
• Demonstrates strong organizational, documentation, and follow-up skills.
• Effectively manages multiple priorities in a fast-paced environment.
• Displays professionalism and collaborates effectively with employees, customers, and business partners.
• Demonstrates willingness to learn new technologies, tools, and data engineering practices.
• Proficient in Microsoft Office products and standard business software applications.
• Handles confidential and sensitive information appropriately.
• Sufficient fine motor skills for computer and calculator use and ability to withstand repetitive keyboarding for extended periods.
• Visual and communication abilities adequate to perform the essential functions of the job.
• Ability to kneel, bend, and twist at the waist occasionally; reach below shoulder height regularly and at or above shoulder height occasionally; and push, pull, carry, and lift objects up to 10 pounds regularly and greater weights occasionally.
• Ability to travel by vehicle or aircraft and safely operate a motor vehicle.

Nice To Haves

• Working knowledge of Nuclear Quality Assurance (NQA-1) requirements or similar regulated environments.
• Experience developing and maintaining data pipelines using Databricks, including Delta Lake, notebooks, workflows, and data transformation processes.
• Experience programming in Python for data engineering, automation, data quality validation, and data integration activities.
• Experience supporting modern cloud-based analytics and data engineering platforms such as Azure Data Lake Storage, Azure Data Factory, Microsoft Fabric, or similar technologies.
• Knowledge of AI-ready data curation practices, including data profiling, cleansing, normalization, metadata management, data quality monitoring, and preparation of structured and unstructured data for machine learning and generative AI use cases.
• Experience supporting data governance, data cataloging, lineage, and data stewardship practices.
• Familiarity with designing and optimizing data sets for analytics, reporting, business intelligence, and AI/ML solutions.
• Experience working with large-scale structured, semi-structured, and unstructured data sources.
• Experience developing or supporting enterprise reporting solutions using legacy and modern reporting technologies such as SSRS, Power BI, Tableau, or Crystal Reports.
• Experience with SQL Server, Oracle, or other enterprise relational database management systems.
• Familiarity with data warehousing, dimensional modeling, and master data management concepts.
• Experience working in regulated, security-conscious, or highly governed environments.
• Knowledge of Agile methodologies, DevOps practices, and version control tools such as Git or Azure DevOps.

Responsibilities

• Assist in creating and maintaining data models, data mappings, and data relationship diagrams according to established standards.
• Support the development, implementation, and maintenance of data pipelines and data integration processes.
• Analyze and validate source data for completeness, accuracy, and relevance, escalating issues as appropriate.
• Collaborate with business stakeholders and team members to gather, document, and clarify data requirements.
• Perform routine data quality checks, testing activities, and validation procedures using established methods and tools.
• Assist with configuring and administering cloud-based data services and environments under the direction of senior engineers.
• Apply data security, governance, and data handling practices in accordance with organizational standards and regulatory requirements.
• Prepare and maintain technical and process documentation and status reports.
• Participate in troubleshooting data-related issues and support continuous improvement activities.
• Perform work safely and comply with environmental obligations using the core functions and elements of the ISMS/EMS.
• Perform other duties as appropriate and assigned.

Benefits

• Paid holidays
• Paid time off
• 401(k) with employer match
• Dental insurance
• Vision insurance
• Health insurance plans through the Federal Employee Health Benefits (FEHB) program
• Life benefits
• Disability benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level