Envista Principal Data Engineer (Remote)

We need to output HTML fragment with sections: About the role? The posting includes "Job Summary" which is like about the role. Then "Primary Duties And Responsibilities" -> Responsibilities. Then "Job Requirements" -> Requirements (maybe split into Minimum Requirements and Preferred Skills & Experience). Also compensation: "$159,500 - $194,900" plus mention of bonus, benefits, 401K match. So we can include Pay section with that range and mention benefits? Benefits section could include mention of annual performance bonus, medical/dental/vision benefits, 401K match, other compensation plans. The posting says: "The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans." So we can create Benefits section with those items. Pay section: salary range. Schedule: not mentioned, so omit. We need headings:

for each section: About the role (maybe from Job Summary), Responsibilities, Requirements, Benefits, Pay. We must not repeat job title. No Job ID. We must use

• for any list of duties/requirements/benefits. For prose use

  . We need to preserve all substantive information; do not invent or summarize away detail. Must include all details from posting. We need to parse the content. Job Summary paragraph: "The Principal Data Engineer designs, builds, and governs secure, scalable, and high-performing enterprise data solutions that support advanced analytics, business intelligence, and operational decision-making. This role serves as a technical authority across the project lifecycle, translating business needs into sustainable architectures, establishing standards, and enabling reliable access to high-quality data across cloud, on-premises, and hybrid environments. The position balances innovation with security, compliance, interoperability, and long-term platform sustainability while influencing technical and business stakeholders across teams." We'll put that in

  under About the role. Primary Duties And Responsibilities: a long paragraph with many sentences separated by periods. We need to turn into list items? The instruction: Use

  • for any list of duties/requirements/benefits. The responsibilities are a list of duties; we can split each sentence into a
  • . Must preserve all info. Let's extract each duty sentence. Original text after "Primary Duties And Responsibilities": "Design, build, and optimize scalable data pipelines for structured and unstructured data, including reliable ETL/ELT processes that move data from multiple sources into data warehouses and data lakes.Develop and maintain enterprise data models, integration frameworks, storage solutions, and architectural patterns across cloud, on-premises, and hybrid environments.Define and maintain data solution architecture and governance frameworks that align technical decisions with long-term business objectives and enterprise goals.Provide technical leadership throughout the project lifecycle, including architecture reviews, solution validation, performance tuning, deployment strategy, and resolution of complex technical issues.Establish and promote architecture principles, engineering standards, and best practices across development teams to improve scalability, reliability, interoperability, and consistency.Implement data quality, lineage, metadata management, backup, accessibility, security, and governance practices across diverse systems and global data environments.Partner with IT security and compliance teams to embed appropriate controls and support adherence to applicable regulatory and internal requirements, including GDPR, HIPAA, and SOX.Collaborate with business stakeholders, data scientists, analysts, BI teams, and IT partners to translate business needs into clear technical designs and accessible data solutions.Clean, transform, and organize raw data into usable formats and create analytical tools or programs that support analysis, reporting, and informed decision-making.Evaluate and optimize existing data systems to improve performance, reliability, speed, and maintainability while managing complexity across multi-cloud and hybrid platforms.Evaluate emerging technologies, make informed recommendations under uncertainty, and apply innovative solutions that balance business value with security, compliance, and operational risk.Build strong cross-functional relationships, communicate complex technical concepts clearly to technical and non-technical audiences, and maintain stakeholder alignment throughout deliveryAdapt technical approaches and priorities as technologies and business needs evolve while sustaining data quality, platform stability, and delivery commitments." We need to split at periods. Some sentences lack spaces after period? Actually there is no space after period in some places (e.g., "...data lakes.Develop"). We'll need to add space manually? But we must preserve info; we can still split by period and trim. We'll produce list items each sentence. Let's list them: 1. Design, build, and optimize scalable data pipelines for structured and unstructured data, including reliable ETL/ELT processes that move data from multiple sources into data warehouses and data lakes. 2. Develop and maintain enterprise data models, integration frameworks, storage solutions, and architectural patterns across cloud, on-premises, and hybrid environments. 3. Define and maintain data solution architecture and governance frameworks that align technical decisions with long-term business objectives and enterprise goals. 4. Provide technical leadership throughout the project lifecycle, including architecture reviews, solution validation, performance tuning, deployment strategy, and resolution of complex technical issues. 5. Establish and promote architecture principles, engineering standards, and best practices across development teams to improve scalability, reliability, interoperability, and consistency. 6. Implement data quality, lineage, metadata management, backup, accessibility, security, and governance practices across diverse systems and global data environments. 7. Partner with IT security and compliance teams to embed appropriate controls and support adherence to applicable regulatory and internal requirements, including GDPR, HIPAA, and SOX. 8. Collaborate with business stakeholders, data scientists, analysts, BI teams, and IT partners to translate business needs into clear technical designs and accessible data solutions. 9. Clean, transform, and organize raw data into usable formats and create analytical tools or programs that support analysis, reporting, and informed decision-making. 10. Evaluate and optimize existing data systems to improve performance, reliability, speed, and maintainability while managing complexity across multi-cloud and hybrid platforms. 11. Evaluate emerging technologies, make informed recommendations under uncertainty, and apply innovative solutions that balance business value with security, compliance, and operational risk. 12. Build strong cross-functional relationships, communicate complex technical concepts clearly to technical and non-technical audiences, and maintain stakeholder alignment throughout delivery. 13. Adapt technical approaches and priorities as technologies and business needs evolve while sustaining data quality, platform stability, and delivery commitments. Now Job Requirements: "MINIMUM REQUIREMENTS:" then list items separated by periods? Let's extract. "MINIMUM REQUIREMENTS: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field –or- equivalent experience.10+ years of experience in data engineering.Expertise in designing scalable data solutions using modern architecture patterns, including microservices, event-driven architecture, and API-first design.Proficiency with ETL/ELT tools, data warehousing, big data technologies, and database systems.Proficiency in SQL and PythonStrong knowledge of enterprise data architecture, data modeling, integration frameworks, and data governance practices.Experience with cloud platforms such as Azure, AWS, or GCP and data services such as Snowflake or Databricks.Experience designing and supporting solutions across cloud, on-premises, or hybrid environments.Familiarity with security best practices and applicable compliance standards, including GDPR, HIPAA, and SOX.Demonstrated ability to lead architecture reviews and provide technical direction without direct authority.Strong analytical and problem-solving skills, including experience with performance tuning and optimization.Effective written and verbal communication skills, with the ability to explain complex technical concepts, requirements, and results to technical and non-technical stakeholders." We need to split sentences. Note missing spaces after periods again. We'll add spaces manually but keep content. List: - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field –or- equivalent experience. - 10+ years of experience in data engineering. - Expertise in designing scalable data solutions using modern architecture patterns, including microservices, event-driven architecture, and API-first design. - Proficiency with ETL/ELT tools, data warehousing, big data technologies, and database systems. - Proficiency in SQL and Python - Strong knowledge of enterprise data architecture, data modeling, integration frameworks, and data governance practices. - Experience with cloud platforms such as Azure, AWS, or GCP and data services such as Snowflake or Databricks. - Experience designing and supporting solutions across cloud, on-premises, or hybrid environments. - Familiarity with security best practices and applicable compliance standards, including GDPR, HIPAA, and SOX. - Demonstrated ability to lead architecture reviews and provide technical direction without direct authority. - Strong analytical and problem-solving skills, including experience with performance tuning and optimization. - Effective written and verbal communication skills, with the ability to explain complex technical concepts, requirements, and results to technical and non-technical stakeholders. Now "Preferred Skills & Experience" paragraph: "Demonstrated success delivering secure, scalable, and reliable enterprise data solutions that meet business and operational needs.Experience driving standardization and governance across diverse systems, teams, and global environments.Ability to connect architecture decisions to long-term business objectives and evaluate tradeoffs across innovation, compliance, security, cost, and sustainability.Strong collaboration and influencing skills, with experience building alignment across IT, BI, analytics, security, compliance, and business teams.Ability to make sound, timely decisions in ambiguous or evolving technical environments.Intellectual curiosity and a practical approach to evaluating and applying emerging technologies.Change agility and the ability to adapt to evolving technologies, priorities, and business needs while maintaining delivery focus." Split sentences: - Demonstrated success delivering secure, scalable, and reliable enterprise data solutions that meet business and operational needs. - Experience driving standardization and governance across diverse systems, teams, and global environments. - Ability to connect architecture decisions to long-term business objectives and evaluate tradeoffs across innovation, compliance, security, cost, and sustainability. - Strong collaboration and influencing skills, with experience building alignment across IT, BI, analytics, security, compliance, and business teams. - Ability to make sound, timely decisions in ambiguous or evolving technical environments. - Intellectual curiosity and a practical approach to evaluating and applying emerging technologies. - Change agility and the ability to adapt to evolving technologies, priorities, and business needs while maintaining delivery focus. Now compensation: "Actual compensation packages take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location; skill sets; relevant education and certifications; depth of experience; performance; and other business and organizational needs. The disclosed reasonable estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Envista, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans. $159,500 - $194,900" We need Pay section: include the salary range. Possibly also mention that compensation depends on factors etc. But we should not include filler like "commensurate with experience". The text includes explanation; we can keep that as prose under Pay? The instruction: Use

    for prose. So we can have a

    with the explanation and then maybe the range as part of same paragraph or separate. We'll include the range inside the paragraph. Benefits section: include annual performance bonus, medical/dental/vision benefits, 401K match, other applicable compensation plans. We'll make a

    • list. We must not include boilerplate like EEO, equal opportunity, etc. Remove those lines at end. Now produce HTML fragment:

      About the role

      ... (job summary)

      Responsibilities

      • ... each duty

      Requirements

      Maybe we split into Minimum Requirements and Preferred Skills & Experience as subheadings? But instruction: use

      for section headings (e.g. About the role, Responsibilities