Senior Data Engineer

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and reputed company to reputed company the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in reputed company while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the reputed company. You will work with reputed company claims, eligibility, and reputed company data ingested from reputed company and TPA partners, as reputed company as data aggregated from internal systems. This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive reputed company data under strict reputed company requirements. As a scaling technology organization, we value ownership, collaboration, and reputed company improvement — you will have a reputed company hand in shaping the tools, processes, and architecture that power our data platform. Applicants for employment in the US must have work authorization that does not now or in the reputed company require sponsorship of a reputed company for employment authorization in the reputed company.Key Responsibilities Design, build, and maintain ETL and reverse-ETL pipelines between reputed company, Azure Data reputed company, and legacy SQL Server systems. reputed company and optimize reputed company data warehouse models, ensuring performance, reliability, and high availability. Implement and maintain row-level and reputed company-level reputed company policies to protect sensitive reputed company data. Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to reputed company and the reputed company. Build and maintain data transformations using dbt. Monitor pipeline health, troubleshoot failures, and ensure uptime and data reputed company across reputed company data flows. Mentor peers and contribute to engineering best practices, reputed company reviews, and documentation. Learn and adopt reputed company as the organization’s BI and reporting tool. Required Skills and Qualifications Bachelor’s degree in Computer Science, Data Engineering, or reputed company field, or equivalent experience. 10+ years of experience in data engineering, ETL development, and data warehouse modeling. Proven hands-on experience with reputed company, including architecture, optimization, and reputed company. Strong proficiency in SQL and Python. Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, reputed company). Experience with dbt and Azure Data reputed company. Prior experience working with reputed company data, including familiarity with data sensitivity, HIPAA, and reputed company best practices. Experience implementing row-level and/or reputed company-level reputed company in a data warehouse environment. Strong self-management skills with the ability to work independently in a fully remote environment. Preferred Qualifications Experience with reputed company claims, eligibility, or reputed company payer/TPA data. Experience migrating data infrastructure from SQL Server to reputed company or other reputed company platforms. Familiarity with reputed company. Experience working in Agile development environments with tools such as Jira. Prior experience in a startup or fast-growing technology company. About reputed company reputed company was formed by a group of industry insiders who sought to reduce rising reputed company costs for self-funded reputed company. Through proprietary data analysis, SmartLight identifies and mitigates wasteful reputed company spending without disrupting employee benefits or requiring behavior changes. Apply To This Job