Senior Software Engineer, Data Platform

SentiLink
United States
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Analytical","Problem-solving","Interpersonal","Collaboration","Mentoring"]

Senior Software Engineer on the Data Platform team building and maintaining the data infrastructure powering SentiLink’s fraud-detection products. You will own data pipelines, storage optimization, observability, and collaborate cross-functionally with product and data science teams, while mentoring others and contributing to platform innovations in a remote, US-based environment.

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SentiLink
SentiLink
5 months ago

Senior Software Engineer, Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Senior Software Engineer on the Data Platform team building and maintaining the data infrastructure powering SentiLink’s fraud-detection products. You will own data pipelines, storage optimization, observability, and collaborate cross-functionally with product and data science teams, while mentoring others and contributing to platform innovations in a remote, US-based environment.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build, expand, and optimize data infrastructure to create the most accurate dataset of identities and their relationships
  • •Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements
  • •Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards
  • •Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores
  • •Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products

Pay and Benefits

Perks:Health Insurance401kHome Office

Key Requirements

  • •5+ years of experience in software engineering, data engineering or related field
  • •Proficient in Python or Golang with related technologies and frameworks
  • •Experience building and maintaining ETL/ELT pipelines at scale using distributed data processing technologies such as Spark, Hadoop, Kafka or similar
  • •Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP
  • •Deep understanding of various database technologies including RDBMS (e.g. Postgres), NoSQL (OpenSearch, vector DB) and columnar data stores; ability to write efficient queries and optimization techniques
Experience:5+ yearsFintechData platformIdentity
Skills:AnalyticalProblem-solvingInterpersonalCollaborationMentoring
Tech Stack:PythonGolangPostgreSQLOpenSearchRedshiftEMRSparkDockerLambdaAWS

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