Data Engineer

Data EngineerFully RemoteOverviewSalary Range $121,600.00 - $163,800.00 Salary/year Level Senior Education Level 4 Year DegreeDescriptionCompany OverviewIndex 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.QualificationsUS 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 investigationBachelor's degree or equivalent with six (6) or more years of experience as a Data Engineer or similar roleStrong proficiency in Snowflake, AWS servicesHands-on experience using Snowflake tools, SQL and Python is requiredStrong proficiency in GitHub for source control, branching strategy and reviewsKnowledge of data integration patterns, data warehousing, and modern data architectureStrong analytical and communication skills, including the ability to analyze data, create meaningful insights, and present information clearly to stakeholders.Experience with object?oriented programming and building with software engineering principlesDevOps exposure, including CI/CD toolsUnderstanding of Data Lake conceptsStrong written and verbal communication skills are required, ability to collaborate, present, and report on findingsKnowledge of Agile framework, Scrum methodologies and knowledge of tools used to support themPrior experience with government agencies and fraud detection systems is a plus