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Senior Data Engineer (Remote - US) at Jobgether. About Jobgether:. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.. One of our companies is currently looking for a . Senior Data Engineer. in the . United States. .. We’re seeking a Senior Data Engineer to join a mission-driven organization focused on transforming health outcomes through personalized nutrition solutions. In this role, you’ll lead the design, construction, and optimization of data pipeline infrastructure to enable robust analytics and data science efforts. You will work cross-functionally with data scientists, analysts, and product teams to ensure smooth data flow, automation, and scalability. This is a high-impact role that requires a hands-on builder with strong problem-solving abilities, technical expertise in modern cloud environments, and a collaborative mindset.. Accountabilities:. ·         Build, optimize, and maintain highly scalable and reliable data pipelines. ·         Collaborate with data scientists and analysts to meet data needs across the business. ·         Automate data cleansing, validation, transformation, and mining processes. ·         Improve internal data workflows and automate manual processes to enhance scalability. ·         Troubleshoot data issues, ensure security compliance, and support infrastructure-related inquiries. ·         Deliver high-quality data solutions that empower cross-functional teams with actionable insights. ·         5+ years of experience in data engineering roles, preferably in fast-paced or data-centric environments. ·         Proficient in SQL and experienced with data warehouses such as Snowflake or Redshift. ·         Strong experience with cloud platforms (AWS, GCP, or Azure). ·         Familiarity with workflow management tools like Apache Airflow or Luigi. ·         Knowledge of data modeling, warehousing architecture, and pipeline automation best practices. ·         Degree in Computer Science, Engineering, Mathematics, or related field (Master’s preferred). ·         Familiarity with healthcare data standards like FHIR or HL7 is a plus. ·         Strong problem-solving skills and ability to adapt in a dynamic environment. Company Location: United States.