Hiring: Senior Data Engineer Company: Personify Health Location: United States Job Posted Time: 2026-09-16 17:36:21 Target Skills & Keywords : Data Pipeline, Data Warehouse, ETL, Git, Lambda, Microsoft Excel, Python, Quality Assurance, REST, SQL About the job Experience: •4+ year s of experience in data engineering Required Skills: •Examining, e xtracting, cleansing, and loading data . •Building data pipelines using SQL, and other technologies. •Triage complex incoming bugs and incidents and resolving them. •I nvestigate and troubleshoot issues with data and data pipelines . •Participation in sprint refinement , planning, and kick-off to help estimate stories, raise awareness and additional implementation details . •Help m onitor , maintain, and improve performance of the data pipeline . •Performing , maintaining , and implementing new quality assurance rules, methods, and tools to maintain consistent and accurate data. Qualifications: •Comprehensive expertise in modern relational and non-relational models and differences between them. •Expert in writing complex SQL , including pivots, window functions, and complex date calculations. •Fluent in Python programming language. •Proficient in the use of Excel and several analytical tools such as Tableau, MicroStrategy, PowerBI , etc … •Expertise in the use of REST API and JSON and ability to parse that data and convert into relational models. •Detail oriented and able to examine data and code for quality and accuracy . •Able to lead and mentor more junior data engineers . •Self-Starter – taking initiative when inefficiencies or opportunities are seen. •AWS Lambda / Console experience preferred •This job description is subject to change at any time. Compensation: •$101,000 - $115,000 / year •Comprehensive medical and dental through our own health solutions (yes, we use what we build) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!