Job description

Job ID 27761626 Location Vienna, VA, 22180 Other Location Description Cloud Data Engineer – Azure & Advanced Analytics Location: Hybrid - Vienna, VA or Pensacola, FL Digital Labs develops innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. The Digital Information Management (DIM) team consists of engineers committed to championing a data-driven decision-making culture and meeting business demands for timely insight-focused analytics and information delivery. In this role, you will work with all levels of technology from backend data processing technologies (Spark R), Cloud computing technologies and Azure Data Platform. The ideal candidate is a strong analytical thinker, detail-oriented, and loves working with data, bringing a solid background in data engineering and application development. Our client seeks a hands-on technologist passionate about learning new technologies and improving ways to leverage Advanced Analytics and Machine Learning. Responsibilities: • Build end-to-end direct capabilities • Create and maintain optimal data pipeline architecture • Build infrastructure required for optimal extraction, transformation, and loading of data from various sources • Use analytics to capitalize on data for making decisions and achieving better business outcomes • Derive insights to differentiate member and team member experiences • Collaborate with cross-functional teams • Analyze and define data migration and integration strategies with product teams • Apply experience in analytics, data visualization and modeling to solve business and technical problems • Query and analyze small and large data sets to discover patterns and deliver meaningful insights • Integrate source systems with information management solutions and target systems for automated migration • Create proof-of-concepts to demonstrate viability of solutions under consideration Qualifications: • Bachelor's degree in computer science, information systems, or other technology-related field or equivalent experience • Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills • 3+ years professional work experience in IT related to Data Management and Data Migration activities • 2+ years of strong experience with cloud services (Azure preferred) • Experience with Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics • Experience with Microsoft Azure: ADLS Gen2, Blob Storage, SQL, Data Catalog, Data Factory, KeyVault, Azure AD, Azure SQL, Databricks • Experience with Python 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.

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