Data Engineer

Company:
Location: Remote

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What is Homie?

Homie is everything that 90’s slang implies, and yes, we all call each other “Homie”. We are a group of hard-working, friendly people focused on disrupting the Real Estate Industry by simplifying the process and saving our customers (on average) $10,000.

Homie launched in 2015 and has grown to be the #1 listing broker in the state of Utah. Our full-stack software platform (website and mobile app) streamlines the process from contract to close, eliminating high fees and commissions along the way. With real estate, home loans, and insurance services, Homie is disrupting an industry and making buying and selling a home a more simple, enjoyable, and affordable option.

Homie’s Marketing Engine engages interested customers so all our professionals spend ALL of their time doing one thing - helping the customer. No prospecting, no schmoozing, and no back-scratching. Our success in Utah has led to expansions in Arizona (2019), Nevada (2020), Idaho (2020), and Colorado (2020). Our ambitions certainly don't stop here; join our team as we continue to disrupt the home-buying experience and change the real estate industry nationwide!

Homie Values

Disruption: Real estate is ready. The time is now.
Loyalty: Homies come first — our customers, team members, and communities.
Balance: Work is an important part of your life, but it’s not your life.
Humility: Grateful isn’t dead. And there’s always more to learn.

Job Description: As a Data Engineer, you're skilled in building a warehouse of data from multiple sources to support business decisions and analytics for key stakeholders. Beyond simply extracting, transforming, and loading data, you have a passion for creating organizational change and an appreciation of scalable data solutions and reusable dimensional models. If you love finding gems among the noise of information on a team that values change and strives for excellence then please apply.

Responsibilities

  • Develop and maintain data pipelines including solutions for data collection, management, and usage.
  • Enhance and expand our data warehouse.
  • Create semantic layer data models to support business units.
  • Develop and implement solutions for data quality validation.
  • Partner with engineers, data team members, product managers, and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks, and issues.
  • Perform root cause analysis of system and data issues and develop solutions when necessary.


Qualifications

  • Bachelor's degree in Computer Science or Information Systems.
  • 5 years of experience in data engineering.
  • Proficient in SQL, Python, Spark, and Azure Analytics stack.
  • Experience with ETL data pipelining concept.
  • Experience working in software engineering, and can demonstrate best practices for project management, quality control, version control, and product development.

Cherry On Top

  • Experience building APIs and services using REST.
  • Experience with Kimball Dimensional Modeling.

What You’ll Love About Working at Homie

  • Holidays: 12 paid holidays, including our very own - Homie Day! Oh, and you get your birthday off!
  • Time off: 4 weeks of PTO per year with an increase each service year.
  • Mental health is very important to us! We have online assistance programs that include things such as virtual yoga, meditation, and even the ability to book virtual counseling.
  • Health benefits: Medical, Dental, and Vision with an HSA option. Life and Disability coverage.
  • Company stock options.
  • Discounted rates on Homie products: Title, Mortgage, Insurance, or new home purchase.

Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunities to excel.

*** Mention DataYoshi when applying ***

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