Data Engineer
A top Fortune 50 financial institution is currently seeking a Data Engineer to join their growing technology organization in Pensacola, FL, Winchester, VA, or Vienna, VA. This role will focus on designing, developing, and optimizing data pipelines and systems to support enterprise-level data integration, governance, and analytics initiatives.
About the Opportunity:
• Hybrid or Remote:
Hybrid (2 days onsite, moving to 3 days a week in April)
• Schedule:
Monday–Friday 8am-4:30pm local time
• Setting:
Corporate / Financial Services environment
Responsibilities:
The Data Engineer will be responsible for:
• Designing, developing, and maintaining data pipelines and workflows using Azure Data Factory and SSIS.
• Formatting and transforming data from APIs into SQL Server environments.
• Collaborating with business stakeholders to define data requirements and align solutions with business objectives.
• Building and optimizing scalable data pipelines for collection, connection, and storage.
• Implementing and enforcing data governance best practices for integrity, metadata, and lineage tracking.
• Querying and integrating data across multiple systems (MongoDB, Azure, SQL).
• Ensuring data quality, performance, and scalability.
• Participating in team projects, initiatives, and process improvements.
Qualifications:
• 5-10+ years of experience in data engineering and governance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Advanced proficiency in SQL and API/JSON data transformations.
• Experience with data warehousing architectures (MongoDB, Azure, SQL).
• Working knowledge of programming languages such as Python, PowerShell, R, SQL, or C#.
• Familiarity with Databricks or similar data management tools.
• Strong analytical, problem-solving, and collaboration skills.
