Senior Data Engineer - Finance

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 173,000 - 203,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Equity packages

Paid time off and holidays

Job summary

United States Digital Space LLC is seeking a Data Engineer – Finance in a hybrid role based in San Francisco, CA, working onsite 1–2 days per week. You will own data pipelines and models powering revenue reporting, LTV analysis, and the Corporate Scorecard, collaborating with Finance, Sales Ops, and BI teams.

The ideal candidate has 5+ years in data engineering with finance data experience, strong SQL/Python, and familiarity with dbt, Databricks, and AWS.

Qualifications

• 5+ years of data engineering or analytics engineering in production environments.
• Deep experience with financial or revenue data systems and metrics (LTV, ARR).
• Strong SQL and Python skills with reliable data pipelines.
• Experience integrating data from ERP/CRM/e-commerce platforms (NetSuite, Salesforce, Shopify).
• Familiarity with lakehouse tools (dbt, Databricks, Spark).
• Experience on AWS or equivalent cloud.

Responsibilities

• Design, build, and maintain data pipelines and models for revenue, LTV, corporate scorecard, and RevOps.
• Translate reporting requirements into scalable data models with Finance and BI teams.
• Own end-to-end data quality for financial datasets from ingestion to consumption-ready tables.
• Integrate data across finance sources into a unified data layer with governance.
• Ensure pipelines meet compliance, audit, and privacy requirements.
• Reduce manual reporting by automating trusted data products.

Skills

SQL

Python

Data pipelines

Data modeling

Cloud data infra

Tools

dbt

Databricks

Spark

Job description

Our mission at the company is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their the company Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for a Data Engineer – Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers the company's financial data — including revenue, LTV, Corporate Scorecard, and RevOps — ensuring clean, reliable, and timely data for stakeholders across Finance, Sales, and Leadership. While Finance data engineering is your core domain, we expect and actively support our engineers growing into adjacent areas — such as membership, supply chain, or broader platform work — as business needs and individual interests evolve.

This is a hybrid role based in San Francisco, CA, working onsite 1–2 days per week.

What you will do:Primary Focus – Finance Data Engineering

• Design, build, and maintain data pipelines and models that power the company's Corporate Scorecard, revenue reporting, LTV analysis, and RevOps workflows.
• Partner closely with Finance, Sales Operations, and Business Intelligence to understand reporting requirements and translate them into scalable data models.
• Own end-to-end data quality and reliability for financial datasets — from ingestion to consumption-ready tables.
• Integrate and rationalize data across finance source systems (e.g., NetSuite, Salesforce, Pigment, e-commerce platforms) into a unified, governed data layer.
• Ensure financial data pipelines meet compliance, audit, and privacy requirements.
• Reduce manual, spreadsheet-driven reporting processes by automating trusted, self-serve data products.

Cross-functional Growth Areas (expected over time)

• Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.
• Expand into adjacent domains such as Membership, RevOps, or Supply Chain data as the team grows.
• Participate in Data Mesh domain ownership design for the Finance domain.

We would love to have you on our team if you have:

• 5+ years of experience in data engineering or analytics engineering in production environments.
• Deep experience with financial or revenue data systems — understanding of metrics like LTV, ARR, churn, and funnel analytics.
• Strong SQL and Python skills with a track record of building tested, reliable data pipelines.
• Experience integrating data from ERP, CRM, or e-commerce platforms (NetSuite, Salesforce, Shopify, or similar).
• Familiarity with dbt, Databricks, Spark, or modern lakehouse tools.
• Experience running and monitoring production pipelines on AWS or equivalent cloud.
• Ability to work collaboratively with Finance and non-technical stakeholders to define data requirements.
• Self-motivated, pragmatic, and able to manage your own work independently.

What Makes You Stand Out

• Experience building or owning a Corporate Scorecard or executive-facing metrics layer.
• Familiarity with Pigment, Looker, or similar financial planning/BI tools.
• Experience with Data Mesh and domain-oriented data ownership.
• Exposure to SDM (Supply & Demand Management) or inventory data.

Benefits

At the company, we care about you and your well-being. Everyone here at the company has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An the company Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

the company takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job‑related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at the company are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

To all recruitment agencies: the company does not accept agency resumes. Please do not forward resumes to our jobs alias, the company employees, or any other organization's location. the company is not responsible for any fees related to unsolicited resumes.