Database Administrator

INDEX ANALYTICS LLC•Baltimore, MD

3d•$130,000 - $165,000•Hybrid

About The Position

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities. Position Overview We are seeking a Sr. Database Administrator to support Government clients to design, build, and optimize scalable data solutions, data pipelines and cloud-based solutions. The Sr. Database Administrator plays a key role in modernizing the organization’s data ecosystem by architecting data solutions using a contemporary infrastructure. As part of a cross-functional team, the incumbent will support efforts to design and implement a robust environment capable of ingesting diverse data sources to support advanced data analytics and data reporting needs. Core responsibilities include defining structural, interface, and business requirements for data solutions; designing relational and non-relational databases and their associated integration components; and implementing a Snowflake-based system with automated data pipelines. This role blends advanced data engineering with hands‑on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevSecOps practices. The ideal candidate has experience delivering high‑quality solutions in an Agile environment.

Requirements

US citizen or lived in the US for 3 of the last 5 years.
Must be able to obtain a U.S. Federal government client badge and pass a government background investigation.
Bachelor’s degree or equivalent with ten (10) or more years of experience as Data System Architect, Engineer or similar role.
Hands-on experience using Snowflake tools, SQL and Python is required.
Strong proficiency in DevSecOps, Snowflake, AWS services, Jenkins as well as with GitHub for source control, branching strategy and reviews.
Knowledge of data lake, data modeling, data integration patterns, data warehousing, and modern data architecture.
Strong analytical and communication skills, including the ability to analyze data, create meaningful insights, and present information clearly to stakeholders.
Extensive knowledge of the most recent technical developments in Data Engineering.
Knowledge of Agile framework, Scrum methodologies and tools used to support them.
Strong written and verbal communication skills are required, ability to collaborate, present, and report to stakeholders on findings.

Nice To Haves

Snowflake Certification is a plus.
Prior experience with government agencies is a plus.

Responsibilities

Collaborate closely with business stakeholders, cross‑functional and internal technical teams to gather requirements, document business rules and develop thorough understanding of the business context and objectives.
Designing schemas and scalable data models (star/snowflake schemas) that support self-service analytics, product operations, and AI workloads
Collaborate to design secure, scalable, and cost‑optimized data solutions.
Design, build, and maintain scalable, reliable ETL/ELT data pipeline workflows to process structured and unstructured data using AWS, Snowflake and Snowflake tools.
Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods
Develop and optimize data models, both conceptual and physical, to support analytics, reporting, dashboards and operational consumption.
Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability.
Ensure data workflows are modular, testable, and properly version‑controlled.
Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms.
Conduct advanced data analysis using languages such as Python and SQL.
Develop documentation to include data models, data dictionaries, and data usage guides.
Improve end-to-end performance of data workflows.
Build and maintain CI/CD pipelines using Jenkins to support automated testing, deployments, and continuous integration.
Meet schedule deadlines and commitments with a high-level of quality of deliverables.
Collaborate with a team of cross-functional resources in an Agile delivery environment to deliver iterative value.