Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses.

Our mission is to increase the success rate of small businesses. Traditional banking has been a growth limiter rather than a growth enabler for business owners, and we’re changing that. Relay is the all-in-one, collaborative money management platform. We’re building for employer SMBs and their finance function, internal and external, and are focused on delivering a human-centric customer experience. Ultimately, we help SMBs be ‘on the money'.

We’re looking for a Senior Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows. You'll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers.

Please note that we are a hybrid environment and choose to collaborate in the office three days a week (Tues-Thurs)

What You'll Be Doing:

Construct data models via DBT in our Snowflake data warehouse that allow for robust, secure, privacy-preserving analysis on Relay's rich trove of data
Ensure the technology and processes that underpin our data platform scale as Relay continues to grow
Create data tools, workflows and APIs for other technical teams to consume and interact with our data platform
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Build the systems that help us track core KPIs and ensure all our teams have the timely and accurate data they need to function effectively
Work closely with Trust, Security and Governance teams to keep our customer data safe through security and compliance best practices

What You'll Bring:

3+ years of Data Engineering experience
SQL knowledge that goes well beyond the basics of SELECT, WHERE and GROUP BY
Experience with one-or-more object-oriented & functional scripting languages (including Python, Java or Javascript)
Experience with cloud computing (AWS, GCP or Azure), infrastructure-as-code, and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.)
Experience with business intelligence / data visualization tools (Looker, Metabase, Periscope, Mode, etc.)
A successful history of manipulating, processing and extracting value from large datasets and a curiosity for exploratory data analysis
The ability to execute independently with the input of cross-functional stakeholders
Adaptability to handle change and uncertainty at times; We are a startup after all!

Bonus Points:

You have an understanding of applied statistics, are able to create quantitative models, and can clearly communicate findings to a technical and non-technical audience
You have domain knowledge of Banking or SaaS analytics, and are familiar with concepts like LTV, churn, retention, etc.
You have experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.) and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.)
You’ve joined a company at its early stages and have seen it through scale
Research shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications. If you don't have all the listed qualifications, we encourage you to apply anyway, and together we'll figure out if this is the best role for you!

The Interview Process

Stage 1: A 30-minute Google Meet video call with a member of the People team

Stage 2: A 45-minute technical deep dive via Google Meet with our Senior Engineering Manager, Data

Stage 3: A 45-minute in-person interview with a member of the Leadership team

Stage 4: A 60-minute case study presented to a panel of technical stakeholders

Our Compensation Approach

We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle.

The annual salary range for this role is $144,000 - $176000

For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $160,000. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one.

We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub.

Why Relay Might Be the Perfect Fit For You

You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar.
You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering.
You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks.
You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you.
You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself.
You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward.
You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement.
Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you.

Join Us

We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive.

If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner.

Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.