Remote Sr. Data Engineer

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Description:

  • H1 is seeking a Sr. Data Engineer to contribute to the development, optimization, and scaling of data pipelines and infrastructure.
  • The role involves collaborating with senior engineers, product managers, and cross-functional teams to build efficient and scalable data solutions.
  • Responsibilities include designing, building, and maintaining robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
  • The engineer will implement data quality checks, monitoring, and logging, ensuring adherence to data governance standards.
  • The position requires monitoring and improving the performance of data systems and pipelines, troubleshooting data-related issues and bottlenecks.
  • The engineer will evaluate, integrate, and develop data engineering tools that enhance productivity and ensure system reliability.
  • Collaboration with senior engineers to improve data architecture and infrastructure is essential.
  • The role supports data integration efforts from multiple sources, ensuring consistency and accuracy.
  • Responsibilities also include troubleshooting data issues, optimizing queries, and improving data retrieval performance.
  • Documentation of data processes and workflows is required to ensure transparency and repeatability.
  • Participation in code reviews and contribution to best practices for clean, maintainable code is expected.
  • The engineer will engage with cross-functional teams to understand business needs and help translate them into data solutions.

Requirements:

  • Candidates must have 5+ years of experience in data engineering, working with large-scale data systems and pipelines.
  • Proficiency in programming languages such as Python, Java, or similar languages is required.
  • Strong SQL skills are necessary, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins.
  • Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR is essential.
  • Familiarity with Docker or other containerization technologies is required.
  • Candidates who do not meet all the requirements but feel they would be a great fit are encouraged to explain their potential contributions in a cover letter.

Benefits:

  • H1 offers a full suite of health insurance options, in addition to generous paid time off.
  • The company provides pre-planned company-wide wellness holidays.
  • Retirement options are available for employees.
  • Health and charitable donation stipends are offered.
  • Employees can participate in impactful Business Resource Groups.
  • Flexible work hours and the opportunity to work from anywhere are provided.
  • The position offers the chance to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare globally.
Apply now
Please, let H1 know you found this job on RemoteYeah . This helps us grow 🌱.
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