Senior Data Engineer (Remote - US)
Description For Senior Data Engineer (Remote - US)
Jobgether, a Talent Matching Platform leveraging AI for job matching, is seeking a Senior Data Engineer for a healthcare-focused organization dedicated to transforming health outcomes through personalized nutrition solutions. This remote position in the United States offers a competitive salary range of $135,000–$160,000 per year. The role involves leading the design, construction, and optimization of data pipeline infrastructure to enable robust analytics and data science efforts. Working cross-functionally with data scientists, analysts, and product teams, you'll ensure smooth data flow, automation, and scalability. The position requires 5+ years of experience, strong SQL skills, cloud platform expertise, and knowledge of data warehousing. Benefits include unlimited PTO, comprehensive healthcare coverage, 401(k) with company contributions, equity options, and more. This high-impact role combines technical expertise with the opportunity to contribute to meaningful healthcare innovations through data engineering.
Responsibilities For Senior Data Engineer (Remote - US)
- 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
Requirements For Senior Data Engineer (Remote - US)
- 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
Benefits For Senior Data Engineer (Remote - US)
- Remote-first work environment
- Unlimited PTO policy
- Medical, dental, and vision insurance coverage
- 401(k) retirement plan with company contributions
- Bonus opportunities and stock option plan
- Annual gym reimbursement
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