Senior Analytics Engineer at Unlock Technologies Inc
Phoenix, Arizona, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

165000.0

Posted On

28 Aug, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Real Estate, Data Engineering, Airflow, Financial Services

Industry

Information Technology/IT

Description

ABOUT UNLOCK

Unlock’s mission is to unleash the power of home equity to enrich people’s lives. We do this through a financial solution called a Home Equity Agreement or HEA, an entirely new way to access and utilize home equity. We’re not a lender, so there are no interest charges or monthly payments and homeowners with poor credit or high levels of debt can still qualify. We’re beyond passionate about helping our customers build greater financial resiliency. We are mission driven, consumer centric and our products are designed for the way homeowners want to live their lives today - with flexibility and control.

PREFERRED QUALIFICATIONS

  • Familiarity with cloud infrastructure (AWS/GCP), orchestration tools (Airflow)
  • Experience in real estate, mortgage, or financial services
  • Experience with Airflow for orchestrating and scheduling data pipelines, and Python-based ETL/ELT workflows for data engineering

How To Apply:

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Responsibilities

ABOUT THE ROLE

The Senior Analytics Engineer is responsible for designing, building, and optimizing the analytics infrastructure. This role partners with stakeholders across the business to model clean and reliable data sources, enable self-serve insights, and drive decision-making. It bridges analytics and engineering, with full ownership of data workflows from ingestion to insight. The Senior Analytics Engineer works closely with the Head of Data on strategic initiatives and plays a key role in shaping the direction of the modern data stack as the organization scales.

WHAT YOU’LL DO



    • Own the development and maintenance of dbt models in our Snowflake data warehouse

    • Define and implement data modeling standards, ensuring trusted and well-documented datasets
    • Collaborate cross-functionally with business, product, and ops teams to deliver insights
    • Enhance ELT pipelines using Fivetran, dbt, and Git workflows
    • Improve pipeline reliability and performance in partnership with data engineering
    • Build dashboards and reporting tools using Looker, Sigma, or Tableau
    • Define and maintain key metrics, supporting self-serve analytics across teams
    • Lead data quality and governance initiatives
    • Contribute to architectural decisions and mentor junior analytics team members
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