
Senior Data Engineer at Socure (United States)
Socure· United States· $160k–$195k·
Role details
Equity · Bonus
Socure at a glance
AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees.
Socure runs RiskOS, a single AI-native decisioning platform that verifies identities and scores fraud, risk and compliance across the customer journey (onboarding, login, payments, account changes). It combines a large identity graph with fraud, biometric, device and behavioral signals so customers can approve more legitimate users while blocking fraud in real time.
$650M raised · latest: Series E · $450M · 2021 · backed by Accel, T. Rowe Price, Tiger Global, Bain Capital Ventures
Summary
Design and build scalable data platforms and pipelines to power identity verification products and analytics. The role involves owning end-to-end delivery of complex data initiatives, automating operations, and optimizing cloud-native workflows using Python, Spark, and AWS.
Job description
Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership.
What You'll Do
- Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains.
- Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation.
- Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies.
- Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency.
- Optimize cost, performance, and reliability of data workloads.
- Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions.
- Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient.
What You Bring
- 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.
- Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics.
- Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization.
- Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc).
- Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets.
- Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time.
- Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review.
- Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc).
- Hands-on experience with data orchestration tools (Airflow, Step Functions, etc).
- Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams.
- Experience with prompt engineering using modern GenAI, Large Language Models (LLM).
- Experience mentoring other engineers and contributing to engineering-wide standards, best practices.
As a note; Socure cannot provide sponsorship now or in the future for this role. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Why work at Socure
- Remote-First Culture: Socure is a remote-first company with talent hubs in San Francisco, Seattle, New York, Washington DC, Miami, London, Chennai, Bangalore, and Hyderabad. Employees have flexibility and autonomy.
- High-Impact Work: The company tackles hard problems in digital identity and fraud, which are central to trust in the digital world. The culture emphasizes high performance and purpose.
- Benefits:
- Market-competitive base salary and performance bonuses.
- Equity for all full-time employees.
- Comprehensive medical, dental, and vision insurance.
- Mental health support.
- 401(k) with company match.
- Flexible PTO and generous paid parental leave.
- Professional development stipend.
- Work-from-home stipend and Deskpass access for coworking.
- Hackathons to fuel innovation.
- Growth & Development: Internal mobility and career pathing opportunities, access to the latest technology.
- Team Size: Approximately 386 total employees (per Built In), with 100 open positions signaling strong growth.