Senior Data Engineer

Parsons is looking for an amazingly talented Senior Data Engineer to join our team! In this role you will get to develop methods to ingest data from internal and external sources and present that data for analytics and business intelligence. What You'll Be Doing: • Design the logical data relationships and query structures of new databases considering factors such as access methods, access frequency, storage media, data volatility, query requirements, and operating environments to support security application software and data analysis. • Design enterprise database strategies for functions such as backup, recovery and migration or to correct extremely complex operational and performance • Evaluate data sets and engineer solutions for integrating into the data warehouse. • Develop custom Extract Transform Load (ETL) code to format and load disparate data sets in the data warehouse. • Configure communication paths between systems utilizing API’s. • Sustain existing data warehouse and application databases. • Oversea data engineer team members in the performance of daily database administration functions such as developing queries and reports based on customer requirements, modifying or developing database views, and managing backup and recovery operations. • Interface with partners to coordinate data integration efforts, data requirements, and optimal system design details. • Develop, sustain and preserve user manuals and instructions that guide customers in executing data access functions such as running queries and reports. • Participate in multi-functional teams and manage work through JIRA. What Required Skills You'll Bring: • Active Top-Secret security clearance. • Ability to obtain and maintain an SCI. • Ability to obtain and maintain a CI-Poly. • A Bachelor’s or equivalent experience in related field. • Possess a minimum of eleven (11) years of experience in Application Software and Extract Transform Load (ETL) and/or Data, Database and/or Data Warehouse implementations. • Possess a minimum of five (5) years of experience in implementing, managing, and maintaining data warehouses. • Possess experience with SQL, SQL Plus, Python and API integration. • Possess experience building and scheduling data integration scripts that automate ingest of data from multiple sources (Oracle, SQL, Postgres).