Data Engineer

Analytica•Bethesda, MD

About The Position

Analytica is seeking a Data Engineer to support a key, long-term federal government client program and software product. The ideal candidate will be comfortable working in an agile, multi-faceted team that involves direct, collaborative client engagement to design and develop software products. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives.

Requirements

Bachelor’s degree in Computer Science, Engineering, IT, or other scientific or quantitative fields
5 years’ experience designing conceptual, physical and logical data models using enterprise data modeling tools
5 years’ experience in strategic data planning, governance and standards
5 years’ experience in leveraging enterprise data warehouse modeling constructs and star schema best practices to ensure flexible, scalable and high performing physical databases
Previous hands-on experience integrating systems with big data / data lake repositories using ETL tools
Experience with technologies such as Microsoft SQL Server, Amazon Redshift, Dbeaver, Visual Studio.
Experience with data mining & data warehousing is a must
Excellent communication skills, presentation and interpersonal skills are required. Ability to communicate clearly with both business and technical resources
Ability to obtain Secret Clearance; Active Secret Clearance highly preferred

Nice To Haves

Experience with technologies such as AWS (Glue, Lambda), Git & Github,
Certification in SQL Server or data management (CDMP, MCSA, etc)
Background in defense healthcare domain.

Responsibilities

Design and implement star schema dimensional models (fact and dimensions tables) in SQL Server to support business intelligence and analytics requirements
Write and optimize scripts for data operations including table creation, indexing strategies, appropriate primary and foreign keys, and slowly changing dimensions.
Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs.
Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity.
Contribute to determining programming approach, tools, and techniques that best meet the business requirements.
Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
Deploys application code and analytical models using CI/CD tools and techniques and provides support for deployed data applications and analytical models