S
$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 is looking for a senior engineer to own and evolve their data infrastructure, building the pipelines and storage systems that power their identity verification platform. This role suits someone with deep experience in distributed data systems who wants to work on high-scale fraud detection problems at a well-funded fintech company.
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)
- Apache Kafka
- AWS Lambda
- Docker
- Infrastructure as Code
- Kubernetes
- PostgreSQL
- Python
- SPARK
Log in to see which of these are already on your profile.
What they ask for
Required
- 5+ years software engineering or data engineering experience
- Proficiency in Python or Golang
- Experience building and maintaining ETL/ELT pipelines at scale with distributed processing technologies like Spark or Hadoop
- 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
- Knowledge of Infrastructure-as-Code and DevOps practices
- Analytical and problem-solving skills
- Self-organized and able to work independently with ambiguity
- Experience in Scrum/Agile environments
- Legal authorization to work in the United States
- Must live in the United States
Nice to have
- Experience with Spark/EMR
- Experience building streaming applications
- Experience with AWS services like EKS, SQS/SNS, EMR, Redshift, S3
- Prior experience at a fintech startup