Compensation Overview

Role:

As a Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components to support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You are passionate about solving complex problems, have outstanding programming skills and can pick up new technologies quickly as we evolve. Ideally, you have experience and proficiency in our tech stack.

Technologies: python, golang, postgreSQL (RDS), Redshift, Datalake, EMR, Spark, docker, AWS technologies

This is a remote, US-based role.

Responsibilities:

• Design, build, and maintain scalable data ingestion pipelines and data infrastructure that supports data science and product development 
• Build and support data driven services and interfaces optimized for scale availability and performance while ensuring integrity of data
• Perform periodic maintenance of critical data infrastructure for optimal performance 
• Work with cross functional teams to drive agile delivery of both existing and new data driven products
• Ensure data platform and services meet SLA and quality requirements; on call rotation for production issues, along with the rest of engineering
• Develop functional subject matter expertise within various areas of identity fraud domain

Requirements:

• 2+ years of professional Software Engineering or Data Engineering experience
• Proficient in one or more programming languages preferably python or golang
• Experience building software in public cloud platforms such as AWS, Microsoft Azure, or GCP
• Knowledge of database fundamentals and concepts (RDBMS/NoSQL) and experience with SQL
• Experience building and delivering scalable and automated data ingestion or transformation pipelines (ETL/ELT)
• Excellent analytical and problem solving skills, interpersonal skills, and a sense of humor (enjoy the journey)
• Familiarity with Agile development methodologies and Devops practices (Git, CICD, Jira)
• Comfortable working in a fast paced and complex technical environment 
• Bonus points if you have—
  • Experience working with Big data / Streaming technologies (Spark, Hadoop, Flink , Kafka, etc.)
  • Developed and deployed containerized microservices using Kubernetes or similar tech stack
  • Worked with AWS technologies such as EKS, sqs/sns, emr, redshift, s3, etc.
  • Experience with Infrastructure-as-code (IAC) such as terraform, CloudFormation, etc.
  • Fintech or Fraud domain experience
• Candidates must be legally authorized to work in the United States and must live in the United States

Salary Range:

• $130,000/year - $160,000/year