Senior Software Engineer, Data Platform

Jobright.ai; San Francisco (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A technology company in San Francisco is seeking a Senior Software Engineer for the Data Platform. The role involves leading the development of scalable data infrastructure and collaborating with teams to enhance data-driven processes. The ideal candidate has 4+ years of experience, advanced proficiency in Python and SQL, and expertise in cloud data stacks. This full-time position includes competitive benefits and a salary range of $160,000 to $180,000.

Qualifications

• Strong background in data infrastructure, pipelines, and distributed systems.
• Experience with foundational data-infrastructure technologies.
• Strong problem-solving skills and a proactive attitude.

Responsibilities

• Design and build robust, highly scalable data pipelines.
• Improve the data platform development experience.
• Own and maintain core data pipelines and models.

Skills

Python

SQL

AWS

Databricks

Airflow

Terraform

Education

4+ years of experience in software engineering

Tools

Hadoop

Kafka

Delta Lake

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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