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$170,000 – $230,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
SentiLink seeks a senior-level engineer to build and maintain the data infrastructure that powers their fraud detection platform, handling millions of identity verifications daily. This role involves designing scalable ETL pipelines, optimizing data storage, and collaborating across product and data science teams in a remote US position.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
- Amazon Elastic MapReduce (EMR)
- Amazon Redshift
- Amazon Web Services (AWS)
- AWS Lambda
- Docker
- Infrastructure as Code
- Kubernetes
- PostgreSQL
- Python
- SPARK
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What they ask for
Required
- 5+ years of software engineering or data engineering experience
- Proficiency in Python or Golang
- Expertise building and maintaining ETL/ELT pipelines at scale with distributed processing technologies like Spark, Hadoop, or Kafka
- Hands-on experience with public cloud platforms such as AWS, Azure, or GCP
- Deep understanding of database technologies including RDBMS, NoSQL, and columnar data stores
- Experience building scalable, containerized data services on Kubernetes or similar platforms
- Working knowledge of Infrastructure-as-Code and DevOps practices
- Excellent analytical and problem-solving skills
- Self-organized and able to work independently with ambiguity
- Experience in Scrum or Agile development environments
- Legal authorization to work in the United States and residence in the United States
Nice to have
- Experience with Spark and EMR
- Built streaming applications
- Experience with AWS services such as EKS, SQS/SNS, EMR, Redshift, S3
- Prior experience at a fintech startup