Virgin Pulse

Senior Data Engineer

Job description

Overview

Now is the time to join us!

Virgin Pulse and HealthComp are now Personify Health. The industry’s first personalized health platform company combines health, wellbeing, and navigation solutions to deliver powerful outcomes to businesses and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we’re shaping a healthier, more engaged future.

Responsibilities

Who are you?

Senior Data Engineers perform development activities within the data engineering 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.

In this role you will wear many hats, but your knowledge will be essential in the following:

  • Examining, extracting, cleansing, and loading data.
  • Building data pipelines using SQL, Kafka, and other technologies.
  • Triage complex incoming bugs and incidents and resolving them.
  • Perform technical operation tasks.
  • Investigate 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 monitor, 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.

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Qualifications

What you bring to the Personify Health team:

In Order To Represent The Best Of What We Have To Offer You Come To Us With a Multitude Of Positive Attributes Including

  • 4+ years of experience in data engineering
  • SW certification or degree in IT related field

You also take pride in offering the following Core Skills, Competencies, and Characteristics:

  • 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

No candidate will meet every single desired qualification. If your experience looks a little different from what we’ve identified and you think you can bring value to the role, we’d love to learn more about you!

Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.

In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges up to $119,000 annually. Note that salary may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits.

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