Senior Software Engineer, Data Platform

Summary

Join SentiLink's Data Platform team as a Senior Software Engineer and own the data infrastructure supporting our suite of products. You will collaborate with various teams to build, enhance, and modify the data platform powering our fraud detection products. This remote, US-based role requires 5+ years of software engineering experience, proficiency in Python or Golang, and expertise in building and maintaining ETL/ELT pipelines at scale. You'll leverage distributed data processing technologies and cloud platforms like AWS. The role involves optimizing data storage, building interfaces for data access, and collaborating with product teams. SentiLink offers competitive compensation, comprehensive benefits, and a dynamic work environment.

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
• Candidates must be legally authorized to work in the United States and must live in the United States

Responsibilities

• 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
• Drive innovation by actively participating in our hackathons and doing proof of concepts
• Mentor junior engineers and contribute to our evolving engineering best practices
• Develop functional subject matter expertise within various areas of identity fraud domain

Preferred Qualifications

• 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

Benefits

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend