Senior Software Engineer - Data Platform

Orbis Group

United States

Hybrid

USD 170,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, and vision insurance

401(k) with company match

Generous parental leave

Unlimited PTO policy

Professional development stipends

Hybrid work flexibility

Job summary

A leading fintech company is seeking a Senior Software Engineer to architect and build a centralized data platform crucial for real-time fraud detection. The role requires expertise in data platforms, ETL/ELT patterns, and distributed systems. You will design a system to transform substantial volumes of identity and transaction data, enabling advanced fraud detection capabilities and machine learning integration. Ideal candidates should have 4+ years of experience in AWS environments and knowledge of Terraform. This position offers competitive salary and comprehensive benefits.

Qualifications

4+ years building production data platforms at scale, ideally in AWS environments.
Experience with ETL/ELT patterns and data pipeline orchestration.
Knowledge in distributed systems, fault tolerance, and data partitioning.
Proficient in Terraform.

Responsibilities

Architect and build a centralized data platform for fraud prevention.
Ingest, transform, and analyze identity and transaction data.
Design architecture for high-throughput data platform.
Build scalable data pipelines from 200+ data sources.

Skills

Production data platforms

ETL/ELT patterns

Data pipeline orchestration

Distributed systems knowledge

Terraform expertise

Job description

Senior Software Engineer - Data Platform

This range is provided by Orbis Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$170,000.00/yr - $230,000.00/yr

About the Company

Join a fintech unicorn that's revolutionizing how fintechs fight fraud and manage identity risk. Our client processes over 1 million identity decisions daily, protecting 600+ banks, credit unions, and fintechs globally from increasingly sophisticated fraud attacks.

As fraud evolves with AI‑powered attacks and synthetic identities, they're building the next generation of their data infrastructure to handle massive scale, real‑time decisioning, and complex data orchestration across global markets.

The Opportunity

We're seeking a Senior Software Engineer / Data Platform Engineer to architect and build a greenfield centralized data platform that will become the backbone of our client's fraud prevention ecosystem. This is a rare opportunity to work alongside a Data Platform SME and shape the technical foundation that powers real‑time fraud detection for hundreds of financial institutions processing billions in transactions.

You will instrument a platform that ingests, transforms, and analyzes massive volumes of identity and transaction data, enabling machine learning models to detect fraud patterns, compliance teams to monitor suspicious activity, and product teams to build next‑generation risk decisioning tools.

What You’ll Build

Design the architecture for a high‑throughput data platform handling millions of daily identity verification events, real‑time fraud signals, and historical pattern analysis.
Build scalable data pipelines that orchestrate information from 200+ third‑party data sources (credit bureaus, identity providers, document verification services) and transform it for ML models and analytics.
Create the data infrastructure that powers AI‑driven fraud detection, enabling the platform to identify emerging attack patterns and provide actionable intelligence to financial institutions.
Own the technical strategy alongside the Data Platform Lead; your decisions will shape how the platform scales from processing millions to potentially billions of decisions.

Required Experience

4+ years building production data platforms at scale, ideally in AWS environments.
Deep expertise in ETL/ELT patterns and data pipeline orchestration.
Distributed systems knowledge; you understand data partitioning, eventual consistency, and designing for fault tolerance.
Terraform expertise.

Preferred Experience

Experience in fintech, fraud detection, or Series A/B/C scale‑ups.
Background with real‑time streaming architectures (Kafka, Kinesis, Flink).
Familiarity with data security and privacy requirements in regulated industries.
Understanding of ML infrastructure and supporting data science teams.

Base Salary

$180,000 - $225,000 (commensurate with experience)

Equity

Meaningful stock options in a high‑growth fintech unicorn.

Benefits