About this opportunity
Jobright.ai lists this Senior Software Engineer, Data Platform opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.