Senior Data Platform Engineer

SentiLink
United States
Workplace: RemoteFull timeUSD 170,000 - 230,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsSkills: ["Analytical skills","Problem-solving","Interpersonal skills","Self-organization","Work independently"]

Own the data infrastructure behind fraud detection products by building and optimizing data pipelines, ETL/ELT workflows, and storage/query layers. Design data observability to meet strict quality and freshness standards, collaborate with product squads, and support production through call rotation. Mentor junior engineers, improve engineering best practices, and drive innovation through hackathons and proofs of concept across a Python/Golang and AWS-based technology stack.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SentiLink
SentiLink
1 week ago

Senior Data Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own the data infrastructure behind fraud detection products by building and optimizing data pipelines, ETL/ELT workflows, and storage/query layers. Design data observability to meet strict quality and freshness standards, collaborate with product squads, and support production through call rotation. Mentor junior engineers, improve engineering best practices, and drive innovation through hackathons and proofs of concept across a Python/Golang and AWS-based technology stack.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build, expand, and optimize data infrastructure to create accurate identity and relationship datasets.
  • •Develop and operate secure, scalable, reliable data ingestion and ETL/ELT pipelines that meet product requirements.
  • •Design and maintain a data observability framework to ensure quality and freshness standards.
  • •Optimize the data storage layer and maintain interfaces that enable scalable, fast data access.
  • •Collaborate with product teams (squads), participate in production call rotation, and mentor junior engineers.

Pay and Benefits

Salary: USD 170,000 - 230,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveHome Office

Key Requirements

  • •5+ years of experience in software engineering, data engineering, or a related field.
  • •Proficiency in Python or Golang and related technologies/frameworks.
  • •Expertise building and maintaining ETL/ELT pipelines at scale using distributed processing (e.g., Spark, Hadoop, Kafka).
  • •Hands-on experience with public cloud platforms such as AWS, Microsoft Azure, or GCP.
  • •Experience with databases and storage technologies (RDBMS like Postgres, NoSQL like OpenSearch/vector DB) and writing efficient, optimized queries.
Experience:5+ yearsData engineeringFintech
Skills:Analytical skillsProblem-solvingInterpersonal skillsSelf-organizationWork independently
Tech Stack:PythonGolangPostgreSQLRDSOpenSearchRedshiftEMRSparkDockerLambdaAWSMicrosoft AzureGCPHadoopKafkaKubernetesInfrastructure-as-CodeETLELT

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SentiLink
Provides machine learning-based identity verification and fraud prevention solutions to financial services companies, helping detect synthetic identities, account takeover, and payment fraud to reduce losses and onboarding risk.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2017
WebsiteLinkedIn