Senior Data Engineer

We need to output HTML fragment with sections: Overview? The instructions: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. We need to include sections only when posting has real specific content. The posting includes Overview (Who We Are) maybe we can treat as "About the role" or "Overview"? The allowed headings list includes "About the role". We can use that for the overview. Then Responsibilities, Qualifications (maybe also Requirements?), Skills, Benefits, Pay. The posting includes "Compensation" with salary range. So we need a Pay section. Also Benefits section. No schedule info, so omit Schedule. Also maybe "Requirements" could be combined with Qualifications? The posting has "Qualifications What You Bring to Our Team" includes Education And Experience, Required Knowledge, Skills and Abilities. We could split into Qualifications and Skills sections. But we must not create thin sections. Let's see content: Education And Experience: 4+ years experience, SW certification or degree in IT related field. Required Knowledge, Skills and Abilities: list of many items. Could be put under Qualifications (education+experience) and Skills (technical skills). But we need to avoid duplication. Perhaps better: one Qualifications section containing both education/experience and required knowledge/skills. But we also have a separate Skills heading allowed. Might be okay to have both if content is substantive. Let's decide: Use Qualifications for education/experience and maybe some high-level abilities. Use Skills for technical skills list. However the posting lumps them together; splitting may be okay as long as each section has substantive content. We need to preserve all substantive information; do not invent or summarize away detail. So we must include all details from the posting. We need to remove boilerplate: Disclaimer, EEO, Commitment, Stay Safe, etc. Also remove navigation, cookie, legal, duplicated lines. Also remove "View all legitimate openings..." etc. We need to keep: Overview (Who We Are), Responsibilities (including bullet list), Qualifications (education/experience, required knowledge/skills/abilities), Benefits (highlights + compensation), Pay (salary range). Possibly also "Skills" but we might incorporate into Qualifications. Let's extract content precisely. Overview section text: "Overview Who We Are Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives. Learn even more about the work that drives us at personifyhealth.com." We need to put that in

under

About the role

maybe. Responsibilities: The posting has "Responsibilities What You'll Do Senior Data Engineers perform development activities within the analytics and reporting team and provide mentorship, guidance, onboarding, and training of other Data Engineers . You will work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues , create data models, set up and investigate new technologies, and research complex data . You have a deep understanding of data modeling, structures, and data pipelines . Duties Essential Functions / R esponsibilities /Duties Examining, e xtracting, cleansing, and loading data . Building data pipelines using SQL, and other technologies. Triage complex incoming bugs and incidents and resolving them. Perform technical operation tasks . 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." We need to turn into

• list items. The text includes many sentences; we can split each duty as a bullet. Ensure we preserve all info. Let's list duties: - Perform development activities within the analytics and reporting team and provide mentorship, guidance, onboarding, and training of other Data Engineers. - Work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues. - Create data models. - Set up and investigate new technologies. - Research complex data. - Examine, extract, cleanse, and load data. - Build data pipelines using SQL, and other technologies. - Triage complex incoming bugs and incidents and resolve them. - Perform technical operation tasks. - Investigate and troubleshoot issues with data and data pipelines. - Participate in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details. - Help monitor, maintain, and improve performance of the data pipeline. - Perform, maintain, and implement new quality assurance rules, methods, and tools to maintain consistent and accurate data. We need to ensure we didn't miss any: "You have a deep understanding of data modeling, structures, and data pipelines." That's more a requirement, maybe belongs to Qualifications. We'll keep it there. Now Qualifications: The posting includes "Education And Experience 4+ year s of experience in data engineering SW certification or degree in IT related field Required Required Knowledge, Skills and Abilities Deep understanding of 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. ETL experience preferred AWS Lambda / Console experience preferred Git experience preferred" We need to preserve all. We'll split into two sub-sections? Could keep as one Qualifications section with paragraphs and list. We'll output:

  Qualifications

  4+ years of experience in data engineering; SW certification or degree in an IT‑related field.

  • Deep understanding of 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.
  • ETL experience preferred.
  • AWS Lambda / Console experience preferred.
  • Git experience preferred.
  Now Benefits: The posting includes "Benefits The Highlights: Competitive base salary and benefits effective day one Comprehensive medical and dental through our own health solutions (yes, we use what we build) Unlimited PTO—rest and recharge time is non-negotiable Mental health support, retirement planning, and financial protection Professional development with clear career progression and learning budgets Mission-driven culture where diverse perspectives drive real impact on people's health Want the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks. Compensation: This position offers a base salary range of $101,000 - $115,000, depending on location, skills, and experience. You're eligible for our full benefits package starting day one." We need Benefits section (maybe includes highlights). Pay section separate for salary range. According to instructions, we should create Pay section only if posting actually states them. It does state salary range. So we will have Benefits section (non-pay benefits) and Pay section (salary). The Benefits section should include the highlights except compensation. Let's extract benefits highlights: - Competitive base salary and benefits effective day one (but salary part goes to Pay; we can mention benefits effective day one) - Comprehensive medical and dental through our own health solutions (yes, we use what we build) - Unlimited PTO—rest and recharge time is non-negotiable - Mental health support, retirement planning, and financial protection - Professional development with clear career progression and learning budgets - Mission-driven culture where diverse perspectives drive real impact on people's health - Want the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks. We should keep the link as plain text? Probably just keep the sentence. We'll put Benefits as
  • items. Pay section: base salary range $101,000 - $115,000, depending on location, skills, and experience. Eligible for full benefits package starting day one (but that's already in Benefits; we can mention eligibility in Pay or Benefits; but to avoid duplication, maybe mention eligibility in Pay). We'll include: "This position offers a base salary range of $101,000‑$115,000, depending on location, skills, and experience. You’re eligible for the full benefits package starting day one." Now we need to ensure we didn't include boilerplate: Disclaimer, EEO, Commitment, Stay Safe, etc. Remove those. Also need to remove duplicated lines: The posting had "Required Required". We'll handle. Now output HTML fragment only, no or . Use

    headings,

    ,

    • . Ensure proper spacing. Let's craft final HTML:

      About the role

      Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives. Learn even more about the work that drives us at personifyhealth.com.

      Responsibilities

      • Perform development activities within the analytics and reporting team and provide mentorship, guidance, onboarding, and training of other Data Engineers.
      • Work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues.
      • Create data models.
      • Set up and investigate new technologies.
      • Research complex data.
      • Examine, extract, cleanse, and load data.
      • Build data pipelines using SQL, and other technologies.
      • Triage complex incoming bugs and incidents and resolve them.
      • Perform technical operation tasks.
      • Investigate and troubleshoot issues with data and data pipelines.
      • Participate in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details.
      • Help monitor, maintain, and improve performance of the data pipeline.
      • Perform, maintain, and implement new quality assurance rules, methods, and tools to maintain consistent and accurate data.

      Qualifications

      4+ years of experience in data engineering; SW certification or degree in an IT‑related field.

      • Deep understanding of modern relational and non‑relational models and differences between them.
      • Expert in writing complex SQL