Data Analyst

Steampunk•McLean, VA

8d•$50,000 - $115,000

About The Position

Steampunk is seeking a Data Analyst to work with its team and clients to architect and develop data models, data warehouses, data lakes and lakehouses, data governance, services, and pipelines. The role calls for a technologist with strong communication and customer service skills and an interest in data and problem solving. The analyst will work on data environment migrations, assess and document data sources, and respond to technical inquiries about customization, integration, enterprise architecture, and data product features and functionality. The position is part of the Data Exploitation Practice.

Requirements

Ability to hold a position of public trust with the US government.
0–2 years of experience with data model and data warehouse design, including schema design and entity relationship diagrams.
0–2 years of experience collaborating with management, personas, and engineers to support data quality efforts.
Experience with large-scale data migration.
Experience designing storage and retrieval solutions for structured and unstructured data in support of data science pipelines.
Experience designing data platforms for user consumption.
Experience supporting the development of data artifacts, including data dictionaries, entity relationship diagrams, data flow diagrams, data quality plans, data management plans, and data asset catalogs.
Experience with relational SQL and NoSQL databases.
Familiarity with cloud technology using AWS or Azure, including knowledge of managed service offerings such as AWS EC2, EMR, RDS, or Redshift.
Experience developing specifications for modern large-scale data repositories, including cloud-based database solutions.
Familiarity with FIPS 140-2-compliant encryption for stored data and data in motion.
Experience working with software and data science teams to operationalize information.
Experience collaborating with staff, IT customers, and technical and non-technical staff and contractors at all levels.
Experience working in an agile environment.
Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline.

Nice To Haves

Experience with cloud database or data warehouse solutions, preferably AWS; alternatively Azure or GCP.
Knowledge of AWS managed services such as EC2, EMR, RDS, and Redshift.

Responsibilities

Work on migrating data environments with attention to performance and reliability.
Assess, understand, and document data sources.
Address technical inquiries related to customization, integration, enterprise architecture, and data product features and functionality.
Design data models, warehouses, lakes, lakehouses, services, and pipelines.
Collaborate with management, user personas, and engineers to support data quality efforts.
Design storage and retrieval solutions for structured and unstructured data in support of data science pipelines.
Design data platforms for user consumption and support development of related data artifacts.
Understand customer requirements and prioritize work to maximize customer and user experience.
Work with software and data science teams to operationalize information.
Collaborate with staff, IT customers, and technical and non-technical staff and contractors at all levels.