Job Title: Reporting Data Engineer

Remote – US and British Columbia Only

About Vivante

Vivante Health is an innovative startup reinventing the way chronic conditions are managed. We’re filling the unmet needs of people with chronic conditions that are invisible, neglected or stigmatized, starting with digestive disease.

Why digestive? Because an astonishing 70 million people in the US are affected—that’s twice the number with diabetes and more than many other chronic conditions combined. Unlike other chronic conditions, though, digestive diseases often go untreated or misdiagnosed…because of stigma.

At Vivante, we think it’s time to bring digestive health to the forefront while providing REAL solutions to the millions who are struggling and don’t know where to turn. Our health management ecosystem, GIThrive, empowers people to spend less time worrying about their digestive symptoms and more time living life.

GIThrive works with our members (patients) to help identify and manage their digestive health conditions with personalized insights & recommendations. Our platform also facilitates interactions with our world-class clinical team to blend our technology with real person-to-person relationships that support each patient throughout their individual journeys.

With a remote-first workforce, backed by leading digital health investors, we’re changing the way healthcare is delivered.

Position Summary

We're looking for an experienced Data Engineer with strong analytical skills to focus on designing and building reports and dashboards to support our data insights and analytics efforts. If you love visualizing data insights, please read on! 

This engineer would have a strong focus on report generation and automation- helping us integrate various internal and external data sources, expand our data systems and pipeline capabilities, create automated dashboards and reports, explore ways to enhance data quality and reliability, and help support our self-service BI environment for internal stakeholders. 

The ideal candidate is someone who can reason through the interactions of a distributed system and deliver solutions that emphasize simplicity, reliability, reusability and supportability. 

Why is this a great opportunity for a data engineer?

• The problem domain and our approach to solving it is super compelling. We're bringing together data sources that have never been joined, building models of a GI patient that have never been built, and discovering new GI health insights that help real people to manage and support their real medical conditions.

• It's still early enough that there’s a lot of decisions and new discoveries to be made, so this is your chance to get in early and help shape our future.

• This position will have a substantial impact on the accessibility of data for our organization and is key to enabling our ability to gain valuable insights.

Other things about our environment you should be aware of:

• We're still a small company, which means that everyone still wears a lot of hats and we need engineers who are comfortable with ambiguity and working across a wide variety of challenges. That said, our existing engineering team has built an extremely efficient working environment based on best-in-class hosted SaaS frameworks that greatly minimize the overhead in deploying and supporting software in production. 

• We're all really passionate about improving clinical outcomes for our members and truly advancing the GI health space. Most of us also have personal (direct/family/friend) connections to GI health problems. Whatever it is that fuels you, we're on a mission to build something much larger than ourselves here and looking for another partner in driving that mission forward.

Responsibilities Include:

• Partner with data scientists and stakeholders in data science, sales, marketing, and product to develop automated reporting and dashboarding tools

• Partner with product stakeholders on ideation, feedback and refinement of solutions that meet our business needs 

• Develop, improve and maintain automated data workflows around ETL, data preparation, quality, and monitoring as needed to streamline analysis and reporting

• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership

• Develop the kind of software and pipelines that you’d want to inherit from another developer (documentation, test coverage, logging, metrics, etc.) 

• Collaborate with the rest of your engineering team on design, planning and code reviews

• Keep learning

You'll be a good fit here if you are:

• A team player. You like collaborating closely with other engineers, often through pair programming, design & code reviews

• Empathetic to our members’ GI health conditions and are driven to improve their outcomes

• Security oriented. We take the stewardship of our customer's healthcare data seriously, and take no shortcuts to protect it

• Comfortable with a distributed workforce. We interact with each other via video chat, Slack and PR comments

• A self motivated, creative problem solver

• At least partially obsessed with automating everything 

We are proud of the team culture that we foster today, which is extremely friendly and supportive while constantly reaching to raise our own standards of engineering. We're really excited about what we're building, and usually having fun building it together. If all of that sounds fun to you too, we'd love to meet you.

Desired Qualifications

• Degree in Computer Science or a related field, or equivalent experience

• 3+ years of demonstrated experience building and supporting data pipelines, SaaS solutions or other related technologies

• Proficiency with SQL, Python and some form of ELT/ETL solutions

• Experience building automated reporting and dashboards for end-users

• Outstanding communication and interpersonal abilities with colleagues, business partners, and vendors alike

• Bonus:

  • Familiarity with Google Cloud Platform (GCP) frameworks, including, BigQuery, IAM (fundamentals), Pub/Sub, Dataflow, Cloud Composer, DLP, or any others

  • Experience with Terraform and/or other infrastructure-as-code frameworks

  • Experience with medical, healthcare and/or population health data

  • Experience working in a HIPAA regulated environment (or other regulated industry) and supporting data security and privacy controls

  • Experience analyzing and optimizing system performance

Vivante Health is an equal opportunity employer.
We believe safe spaces where everyone can be their authentic selves is the key to a successful team so we welcome and embrace all identities, cultures, and backgrounds.

Interested? Apply here
(Link to Rippling ATS posting as a back-stop)
https://vivante-health.rippling-ats.com/job/529412/data-engineer