Senior Software Engineer (Data Platform)

Location: San Francisco, CA, United States; work format: Hybrid

Salary: $220,000–$265,000 per year plus equity grant

Company

hirify.global builds integrated financial tools that help small businesses access funding, spend management, and savings products through platforms such as DoorDash, Amazon, Worldpay, and Mindbody.

What you will do

• Design, build, and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, Airflow, and AWS.
• Improve the developer experience through intuitive abstractions, self-service tooling, and clear documentation.
• Own data pipelines and models supporting internal dashboards, ML models, and customer-facing products.
• Administer Databricks workspaces, including access management, performance monitoring, configuration optimization, and pipeline availability.
• Lead improvements in data quality, testing, observability, lineage tracking, ingestion scalability, and cloud cost efficiency.
• Partner with Data Science, Platform Engineering, Product Engineering, backend engineers, and data scientists to deliver scalable data solutions and mentor other engineers.

Requirements

• 4+ years of software engineering experience focused on data infrastructure, pipelines, and distributed systems.
• Advanced proficiency in Python and SQL, with hands-on Spark development experience.
• Experience with AWS, Databricks, Airflow, and lakehouse architectures.
• Experience with data infrastructure technologies such as Hadoop, Hive, Kafka or similar streaming platforms, Delta Lake or Iceberg, and Trino or Presto.
• Familiarity with data ingestion, versioning, lineage, partitioning, clustering, developer-experience tooling, and platform health practices.
• Strong problem-solving, communication, ownership, and cross-functional collaboration skills.

Nice to have

• Experience with AWS infrastructure managed through Terraform.
• Familiarity with observability tools such as Datadog and cloud cost tracking.
• Experience with financial systems or fintech platforms.
• Experience with ML infrastructure, including feature stores, model lifecycle management, and real-time inference.
• Contributions to internal tooling or open-source data ecosystem projects.

Culture & Benefits

• Work-from-home flexibility within the hybrid work arrangement.
• Equity grant.
• Medical, dental, and vision insurance.
• Unlimited PTO and paid parental leave.
• Commuter benefits, free lunches, 401(k), and an employee assistance program.