Job Overview
Location
Remote - US
Job Type
Full-time
Category
Data Engineer
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As a Senior Data Engineer at Socure, you will play a critical role in designing and building scalable data platforms and pipelines that power the company’s identity verification products and analytics, directly contributing to Socure’s mission of verifying 100% of good identities in real time and stopping fraud before it starts.
- • You will own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation, ensuring high reliability and performance of data systems that support ML feature engineering and analytics across multiple product domains.
- • You will work within Socure’s Data Automation team, collaborating closely with Data Science, Product, and Engineering teams to translate business requirements into technical solutions, while helping evolve a modern, cloud-native data platform that supports large-scale processing using cutting-edge technologies.
- • In this role, you will deepen your expertise in distributed data processing, cloud infrastructure, and data platform modernization, while gaining experience in mentoring engineers, shaping engineering standards, and adopting emerging technologies like GenAI-assisted ingestion and LLMs to drive innovation in identity trust infrastructure.
- • 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.
🎯 Requirements
- • 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.
🏖️ Benefits
- • Opportunity to work on high-impact identity trust infrastructure used by businesses, governments, and millions of people daily.
- • Remote-first work environment within the US, offering flexibility and autonomy.
- • Exposure to modern cloud-native technologies and emerging GenAI applications in data engineering.
- • Collaborative, ownership-driven culture with mentorship opportunities and influence on engineering-wide best practices.
- • Commitment to diversity, equity, and inclusion as an equal opportunity employer.
Skills & Technologies
Python
Scala
AWS
Kafka
Apache Spark
Senior
Remote
About Socure Inc.
Socure Inc. provides digital identity verification and fraud prevention software for financial services, fintech, e-commerce and government clients. The platform applies machine learning and graph-based analytics to link and validate identity elements in real time, detecting synthetic identities, account takeover and document fraud. It integrates via APIs and SDKs for onboarding, KYC/AML compliance and transaction monitoring, aiming to reduce false positives and manual reviews while improving approval rates for legitimate users worldwide.
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