Senior Software Engineer, Data Platform

Description

The company helps financial institutions and protects consumers by resolving identities accurately and flagging fraud risk.

Each day it verifies over 3 million identities and flags more than 150k fraud attempts.

The company is well funded and growing fast, already serves 13 of the top 15 U.S. banks, and is expanding into new markets. Its investors include Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

The work is hard and requires deep domain knowledge, careful analysis, and a readiness to examine details closely.

The team is collaborative and made up of people who respect each other's time and judgment, take ownership, and deliver on commitments.

The company works digitally first across the U.S. and India and meets in person regularly.

You will own the data infrastructure behind the company's product suite as a Senior Software Engineer on the Data Platform team. You will work with product, engineering, and data science teams to build, extend, and change the data platform that powers the fraud detection products. You bring strong programming skills, know the stack well, and learn new technologies quickly as the platform changes.

Stack: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, and AWS services.

Responsibilities

• Build, grow, and tune data infrastructure to produce the most accurate dataset of identities and how they relate.
• Build and run secure, scalable, reliable ingestion and ETL/ELT pipelines that meet product needs.
• Design and maintain a data observability framework that keeps data within strict quality and freshness standards.
• Improve the storage layer and build and maintain interfaces that give fast, scalable access to the data stores.
• Work with product squads to meet their data platform needs so new and existing products ship smoothly.
• Take part in the production issue on-call rotation alongside the rest of engineering.
• Mentor junior engineers and help shape the team's evolving engineering practices.
• Take part in hackathons and build proofs of concept to drive new ideas.
• Build subject matter expertise in the different areas of identity fraud.

Requirements

• 5+ years of experience in software engineering, data engineering, or a related field.
• Proficiency in Python or Golang and related technologies and frameworks.
• Experience building and maintaining ETL/ELT pipelines at scale with distributed processing tools such as Spark, Hadoop, Kafka, or similar.
• Hands-on experience with a public cloud platform such as AWS, Microsoft Azure, or GCP.
• Solid knowledge of database technologies, including RDBMS (e.g. Postgres), NoSQL (OpenSearch, vector DB), and columnar stores, and skill in writing efficient queries and tuning them.
• Experience building enterprise-grade, scalable, containerized data services and frameworks on Kubernetes or a similar platform.
• Working knowledge of Infrastructure-as-Code and DevOps practices.
• Strong analytical and problem-solving skills, good interpersonal skills, and a sense of humor.
• You are self-organized and can work independently and with ambiguity.
• Experience working in a Scrum or Agile development environment.
• Bonus: experience with Spark/EMR.
• Bonus: experience building streaming applications.
• Bonus: experience with AWS services such as EKS, SQS/SNS, EMR, Redshift, and S3.
• Bonus: prior experience at a fintech startup.

Conditions

This is a remote role based in the U.S.

You must be legally authorized to work in the United States and must live in the United States.

Pay is $170,000/year to $230,000/year, plus equity and benefits.

The range may cover several career levels. Actual base salary within it depends on experience, skills, and qualifications.

Benefits

• Employer-paid group health insurance for you and your dependents.
• 401(k) plan with an employer match (or an equivalent for roles outside the U.S.).
• Flexible paid time off.
• Regular company-wide in-person events.
• Home office stipend.