Job Description:

• Location: Candidate can be located in Pensacola, FL, Winchester, VA, or Vienna, VA
• Hybrid with the expectation to report onsite a minimum of 2 days per week.
• Contract Length: 6 months with the possibility of extension

The Associate Data Engineer will design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. This role will interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. The position requires applying data governance practices across ETL pipelines, metadata management, security, and lineage tracking. The ideal candidate will develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.

Responsibilities:

• Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
• Format data from APIs into SQL servers.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data engineering policies and best practices to ensure data integrity.
• Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
• Ensure data quality and performance at scale.
• Ensure high performance and scalability of data systems and processes.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability.
• Collaborate with team members and participate in team projects and initiatives.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 3-5 years of experience in data engineering and governance.
• Advanced knowledge of SQL language.
• Advanced understanding of API frameworks and JSON transformations.
• Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
• Basic understanding of business and operating environment.
• Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
• Experience with data management, processing and analytic tools (Databricks).
• Experience with data integration and processing tools.
• Basic problem-solving skills.
• Basic communication and collaboration skills.
• Working experience with data warehousing solutions, ETL tools, and data system design.
• Basic knowledge of data engineering principles, technologies, and architecture.

CC Pace is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.

CC Pace are committed to employing only candidates who are legally authorized to work in the United States. For us to comply with the Immigration Reform and Control Act of 1986, all new employees, as a condition of employment, must complete the Employment Eligibility Verification Form I-9 and provide documentation that establishes identity and authorization to work. E-Verify will be used for employment verification as part of your onboarding process.

CC Pace values integrity throughout our hiring process. As part of our standard verification procedures, candidates will be asked to provide documentation confirming employment history, education, and work authorization.