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Senior Software Engineer, Data Platform
Senior Software Engineer, Data PlatformJobright.ai • San Francisco, CA, US
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Senior Software Engineer, Data Platform

Senior Software Engineer, Data Platform

Jobright.ai • San Francisco, CA, US
17 hours ago
Job type
  • Full-time
Job description

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Parafin is dedicated to supporting small businesses by providing them with essential financial tools through innovative technology. The Senior Software Engineer for the Data Platform will lead the development of a reliable and scalable data infrastructure, collaborating with various teams to enhance data-driven decision-making and product development.

Responsibilities :

  • Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.
  • Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self-service tooling, and clear documentation.
  • Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.
  • Own the Data & ML platform infrastructure using Terraform, including end-to-end administration of Databricks workspaces : manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines.
  • Lead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring).
  • Work closely with backend engineers and data scientists to design performant data models and support new product development initiatives.
  • Share best practices and mentor other engineers working on data-centric systems.

Qualifications : Required :

  • 4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems.
  • Advanced proficiency in Python and SQL.
  • Expertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures.
  • Hands-on experience with foundational data-infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake / Iceberg, and distributed query engines like Trino / Presto.
  • Familiarity with ingestion frameworks, developer-experience tooling, and best practices for data versioning, lineage, partitioning, and clustering.
  • Strong problem-solving skills and a proactive attitude toward ownership and platform health.
  • Excellent communication and collaboration skills, especially in cross-functional settings.
  • Preferred :

  • Experience with AWS infrastructure using Terraform.
  • Familiarity with observability tools (e.g., Datadog) and cost tracking in cloud environments.
  • Experience with financial systems or building platforms in a fintech setting.
  • Prior work on ML infrastructure : Feature stores (e.g., Tecton), ML model lifecycle (training, deployment, monitoring, retraining), real-time inference.
  • Contributions to internal tooling or open-source projects in the data ecosystem.
  • Company :

    Parafin is a financial infrastructure company that offers pre-built financial services programs to support small businesses. Founded in 2020, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Parafin has a track record of offering H1B sponsorships.

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