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SentiLinkSentiLinkAustin, TX

Senior Data Platform Engineer

Senior Data Platform Engineer owning data infrastructure for identity and fraud detection products. Build scalable ETL/ELT pipelines, data observability, and storage layers using Python/Golang, Spark, AWS, and databases. 5+ years experience required; mentor juniors and collaborate with product/DS teams.

170k – 230k/yr
Remote5+ YOEData Engineering

About the role

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 data meets strict quality and freshness standards.
  • Optimize data storage layer and build/maintain interfaces for scalable and fast data access.
  • Collaborate with product teams to support data platform needs for delivery of existing and new products.
  • Participate in call rotation for production issues.
  • Mentor junior engineers and contribute to engineering best practices.
  • Drive innovation by participating in hackathons and proof of concepts.
  • Develop functional subject matter expertise in identity fraud domain.

Requirements

  • 5+ years of experience in software engineering, data engineering or related field.
  • Proficient in Python or Golang and related technologies and frameworks.
  • Expertise in building and maintaining ETL/ELT pipelines at scale using distributed data processing technologies like Spark, Hadoop, Kafka or similar.
  • Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP.
  • Deep understanding of different database technologies including RDBMS (e.g. Postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc., and experience with efficient queries and optimization.
  • Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms.
  • Working knowledge of Infrastructure-as-Code and DevOps practices.
  • Excellent analytical and problem solving skills, interpersonal skills.
  • Self-organized with ability to work independently and with ambiguity.
  • Experience working in a Scrum / Agile development environment.

Nice-to-Haves

  • Experience working with Spark/EMR.
  • Built streaming applications.
  • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.
  • Prior experience working in a fintech startup.

Compensation

$170,000 - $230,000 per year + equity + benefits.

Skills

PythonGoPostgresopensearchRedshiftemrSparkDockerAWS LambdaAWSETLELTKafkaHadoopKubernetes

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