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Bellese Technologies logo
Bellese Technologies

Improving the healthcare journey through civic innovation.

Staff Engineer, Data – Tech Lead

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

133 days ago

Salary

$150K - $182.4K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglishAWSETLPySparkPython

Job Description

Staff Engineer, Data – Tech Lead

Bellese Technologies

• As the Staff Engineer/ Technical Lead for the Analytics Team, you will spearhead a team of engineers, providing the guidance and technical oversight necessary to ensure the successful delivery of all project milestones. • Architect and evolve scalable data pipelines using Python (PySpark) on Databricks. • Lead design and implementation of data ingestion, transformation, and orchestration frameworks. • Mentor and guide other data engineers through technical leadership and coaching. • Drive performance optimization, cost efficiency, and system reliability at scale. • Contribute to long-term data platform strategy and roadmap • Review designs and code, providing thoughtful feedback and raising the engineering bar • Research and build proof of concepts in the data space • Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices • Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement • Debug and resolve defects, proactively identifying and addressing potential issues before they impact users • Create and maintain comprehensive technical documentation • Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget • Continuously evaluate and recommend new dataframe related technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends • Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate • Assist in the implementation and maintenance of security, compliance, and governance policies within the Databricks and AWS environment to ensure adherence to industry standards and regulatory requirements.

Job Requirements

  • 7+ years of experience in data engineering or backend/platform engineering
  • Strong expertise in Python, with deep hands-on experience using PySpark
  • Proven experience designing and operating production systems in Databricks
  • Solid understanding of data modeling, ETL/ELT process, and distributed computing
  • Bachelor's degree in Computer Science, Computer Engineering or related field
  • Strong understanding of software design patterns, data structures, and algorithms
  • Experience with Agile development methodologies
  • Ability to work independently as well as in a team
  • Strong problem-solving and analytical skills
  • Strong verbal and written communication skills
  • Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.

Benefits

  • Four weeks paid time off yearly (prorated based on start date for the first year)
  • 10 paid company holidays
  • Flexible schedule and remote-first culture
  • $3000 annual education stipend
  • Work from home setup including a Macbook
  • Collaborative, learning environment
  • Medical, dental, and company-paid vision insurance
  • Optional HSA account with some medical plans and a company contribution
  • Company paid basic life and AD&D insurance coverages
  • Company paid short and long term life insurance
  • Optional critical illness and accident insurance
  • 401K plan with 3% safe harbor contribution
  • Wellness resources and virtual care
  • Perks Plus employee discounts

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