data
Posted Mar 26Senior Data Engineer
at Socure
United StatesHybrid
Responsibilities
- 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.
- 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
Requirements
- 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.
- 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
- 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
- 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.
Contact
- Follow Us! YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/
Additional details
- 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
- Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions.