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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 Data Platform Engineer to design and maintain the data infrastructure powering their fraud detection products, working across Python, Golang, and AWS technologies. This role suits experienced engineers who excel at building scalable ETL pipelines and want to make a tangible impact protecting consumers in fintech.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
- Amazon EKS
- Amazon Elastic MapReduce (EMR)
- Amazon Redshift
- Amazon S3
- Amazon SNS
- Amazon Web Services (AWS)
- Apache Hadoop
- Apache Kafka
- AWS Lambda
- Docker
- Infrastructure as Code
- Kubernetes
- PostgreSQL
- Python
- SPARK
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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 data processing technologies
- Hands-on experience with public cloud platforms
- Deep understanding of multiple database technologies including RDBMS, NoSQL, and columnar stores
- Experience building scalable, containerized data services on Kubernetes or similar platforms
- Working knowledge of Infrastructure-as-Code and DevOps practices
- Analytical and problem-solving skills
- Self-organized, able to work independently and with ambiguity
- Experience in Scrum or Agile development
- Legally authorized to work in the United States and must reside in the United States
Nice to have
- Experience with Spark or EMR
- Built streaming applications
- Experience with AWS services like EKS, SQS/SNS, EMR, Redshift, S3
- Prior fintech startup experience