Sr. Data Engineer - Data Platform at Socure Inc. in New York, NY

Socure is looking for a Senior Data Engineer to join our US engineering team and build our data platform. In our mission to become the single, trusted source of identity verification and eliminate identity fraud from the internet, data is at the core of what we build. It’s how we innovate and how we offer the most accurate Identity Verification on the market. With the company growing very fast and our customer needs even faster, the only way for us to succeed in our mission is to significantly scale how we work with data.

We are in the early days of designing a data platform to accelerate all our data operations and unlock the creation of our future products, and we’d love you to join us and lead the way!

What You'll Do:

• You will work in close collaboration with our Engineering, Data Science, Infrastructure and Product teams to design and deliver core parts of our data platform.
• Own the end-to-end delivery of projects related to our data platform initiative, from conception and design to development and production monitoring.
• Enable our Data Scientists to perfect our products and expand our offering and offer easy and secure access to data for engineering teams to deliver faster.
• You will democratize access to data and aim to automate operations of large amounts of sensitive data efficiently, securely and reliably.

What You'll Bring:

• You are comfortable working cross-functionally to ensure technical alignment.
• You like to think at scale and design, develop and operate production data stores, pipelines and services that meet goals of low latency, high availability, resiliency, security and quality.
• You develop with an empathy for people and how they use your work.
• You have experience designing data pipeline systems, ETLs or setting up large scale datastores and have used technologies like: Hadoop, HBase, S3, Kafka, Spark, DynamoDB, Hudi or Delta Lake, Elasticsearch.
• You use your technical experience to educate your peers in data engineering technologies, best practices and platform thinking.
• Exposure or familiarity of data privacy & regulations eg. GDPR, CCPA (CA) or PII.
• 3+ years of practical experience in building high scale, production distributed systems.