Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships
Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements
Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards
Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores
Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products
Participate in call rotation for production issues, along with the rest of engineering
Mentor junior engineers and contribute to our evolving engineering best practices
Drive innovation by actively participating in our hackathons and doing proof of concepts
Develop functional subject matter expertise within various areas of identity fraud domain

Requirements

5+ years of experience in software engineering, data engineering or related field
Proficient in in python or golang and related technologies and frameworks
Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies
Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP
Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques
Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms
Working knowledge of Infrastructure-as-Code and devops practices
Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)
Self organized and ability to work independently and with ambiguity
Experience working in a scrum / Agile development environment
Bonus points if you have:
Experience working with Spark/EMR
Built streaming applications
Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.
Prior experience working in a fintech startup
Candidates must be legally authorized to work in the United States and must live in the United States

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

pythongolangETLELTsparkhadoopkafkaAWSMicrosoft AzureGCP

Soft Skills

analytical skillsproblem solvinginterpersonal skillsself organizedability to work independentlyability to work with ambiguity