Staff Data Engineer
Remote
Honor
Learn how Honor's highly trained Care Professionals provide the best, most compassionate home care services to aging adults in their own homes.About us:
Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk.
Founded in 2014, Honor is now one of the fastest-growing, non-medical home care companies in the U.S. Why? We realized that by combining our amazing technology and operations with the local, personal touch of our partner agencies, we could make real progress transforming this fast-growing, $30BN industry. Honor’s unique approach is driving our leadership as an innovator—and our rapid growth. We have cutting-edge machine learning, a beautiful, well-designed app, and industry-leading design, paired with a strong sales, marketing, and support engine. But we're not a tech company, we're a human company. The technology we design just helps our people be even better at their jobs.
We’re looking for Staff Data Engineers to join our team. As a senior technical contributor, you will take a leadership role in defining the next generation of our end-to-end data infrastructure, from defining the data architecture to implementing data models, pipelines, monitoring and quality assurance frameworks. We're looking for seasoned data engineers who are excited to work closely with data science and data analytics to make information more available and easier to use across the organization.
About the work:
- Design and implement systems for capturing, transforming, storing and delivering data
- Establish practices and systems for data governance
- Automate evolving/ongoing validation of data quality
- Collaborate closely with data scientists, analysts, and the entire product team
About you:
- You’ve led the design and implementation of large data engineering projects
- 6+ years of industry experience managing data pipelines, ETL processes and data warehouses in a cloud (AWS) environment
- Strong knowledge of software engineering fundamentals and working with full-stack / backend development code
Bonus points if you have professional experience with:
- Data streaming, distributed systems and fact-dimensional data modeling
- Replication of relational to columnar databases
- Conceiving and executing on a strategic change in data infrastructure
- Working as a tech lead or managing data engineering teams
What’s next?
Sound like a fit? Apply below!
Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Moving forward, no roles will require permanent relocation, but as conditions allow, we'll have office space for in-person collaboration in our San Francisco Bay Area, CA and Austin, TX hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.
Honor provides competitive benefits including health insurance and parental leave. Want to know more about why Honor is a great place to work? Check out our perks!
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
Tags: AWS Data Analytics Data pipelines Distributed Systems Engineering ETL Machine Learning Pipelines Streaming
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Relocation support
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