Index Analytics LLC

Data Engineer

Windsor Mill, MD, US$121,600-$163,800Posted 13 days ago

Job Description

Company Overview

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 OverviewIndex Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in modernizing the organization’s data ecosystem by implementing data solutions using a contemporary infrastructure. As part of a cross-functional team including Data Engineers, Software Engineers, Analysts, the engineer will support efforts to implement a robust environment capable of ingesting diverse data sources to support advanced analytics and reporting needs. Core responsibilities include implementing structural, interface, and business requirements for data solutions; implementing 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 DevOps practices. The ideal candidate has experience delivering high‑quality solutions in an Agile environment.Responsibilities* Collaborate closely with stakeholders, cross‑functional and internal technical teams to understand requirements and business rules and develop a thorough understanding of the business context and objectives * Collaborate to implement secure, scalable, and cost‑optimized data solutions * Build and maintain scalable, reliable ETL/ELT data pipelines using AWS, Snowflake and Snowflake tools * Develop and optimize data m

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