Analytics Engineer



Data Science
United States · Remote
Posted on Friday, March 22, 2024

Who We Are

Settle is on a mission to make buying inventory super easy. Since the company’s inception in 2019, we’ve been building a cashflow management platform that allows founders and small business owners to more easily manage their company’s financial health with a mix of accounts payable and flexible financing tools. We already work with some amazing brands that you probably know and love, like Starface, Ghia, and Italic.

Check us out in On Deck's Top Companies of 2023, Forbes' Next Billion-Dollar Startups, Techcrunch and this Kleiner blog post.

About the role:

As an early member of the team, you’ll get to be a part of shaping and building our data analytics organization. You will own the analytics data architecture, be a leader in data modeling, and optimize the ingestion and transformation of our data. You will contribute to making our data platform best-in-class.

What you’ll do:

  • Own and maintain integrations between our tools to ensure seamless workflow between Postgres, Fivetran, Snowflake, dbt, Salesforce, Metabase, and Tableau
  • Evaluate, trial, and implement new tooling to address data management, governance, discoverability, and analytics needs
  • Work closely with infrastructure, compliance, and IT to keep our data secure and compliant to relevant regulations and certifications
  • Develop tools, process, and education to improve data discoverability and self-service throughout the organization
  • Be responsible for the dbt and snowflake infrastructure and maintenance
  • Create and maintain CI/CD pipelines using dbt and Github
  • Develop datasets in close partnership with business stakeholders to inform strategic priorities, streamline operations, and discover insights.
  • Build data pipelines to help our customer success, operations, risk, finance and product teams be data driven while embracing data engineering best practices
  • Develop data quality monitoring solutions to ensure data quality standards and accuracy of metrics
  • Define and implement engineering standard processes including code reviews, documentation, testing frameworks, and alerting to establish trust in our data

What you’ll need:

  • 3+ years of experience in analytics engineering or data engineering role with a Master’s degree in a technical field (eg. Computer Science, Engineering) OR Bachelor's in a technical field with 5+ years of experience in Analytics/Data Engineering
  • Expert in SQL and relational database design and data
  • Significant experience with Python
  • Experience using Fivetran, Snowflake, Airflow and dbt
  • Ability to explain complicated technical concepts to non-technical stakeholders
  • Eager to learn new skills, tools and subjects
  • Experience leading data engineering projects


This role has an annual starting salary range of $130,000 - $170,000 + equity + benefits.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills, prior relevant experience, potential impact, and scope of role).

Benefits & perks that we offer:

  • Unlimited PTO
  • Flexible and remote work culture
  • Competitive compensation and equity
  • Health, dental, and vision coverage for you and your dependents
  • Lunch & commute reimbursement when working in the NYC office located near Union Square
  • $500 home office set up reimbursement
  • $2500 annual growth and development stipend
  • $50 monthly food delivery gift card
  • 401k
  • ERG groups e.g. LGBTQIA+, Women @ Settle, and more!
  • Employee Referral Program
  • Team building events

Our Commitment to You

At Settle we know that cultivating diversity and fostering an inclusive work environment is critical to our impact and success. We create an environment where no individual is advantaged or disadvantaged because of their background. We offer equal opportunity employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.

With a commitment to maintaining a bias-free environment in which harassment is prohibited, we respect cultural diversity and comply with the laws of the places in which we operate. We expect our business partners, suppliers, clients, and all of our team members to uphold these commitments.