Senior Software Engineer, Data Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain backend services and REST APIs that deliver data from various SQL subsystems and additional data sources.

• Create well-tested, production-ready Python services featuring clean API contracts, appropriate authentication, versioning, and error management.

• Collaborate closely with the Analytics Engineering team to provide modeled data (billing, settlement, finance) through APIs that downstream users can depend on.

• Develop internal tools and services that empower the wider organization to independently meet their data needs without the need for SQL.

• Engage in code reviews, system design discussions, and promote engineering best practices throughout the Infrastructure organization.

• Enhance service observability by implementing logging, metrics, alerting, and on-call protocols for the services you oversee.

• Maintain and optimize existing data pipelines that transfer data from source systems into Snowflake (using Airflow, Airbyte).

• Collaborate on the dbt project with the Analytics Engineering team to improve models, test coverage, and ensure data quality.

• Uphold data governance practices, including access controls, lineage documentation, and data quality standards.

⛳️ Requirements

• Strong expertise in Python with experience in building backend services and REST APIs.

• Familiarity with web frameworks such as FastAPI, Flask, Django, or comparable technologies.

• Proficient SQL skills and practical experience with contemporary cloud data warehouses (Snowflake is highly preferred).

• Experience in designing and developing production APIs with appropriate authentication, versioning, and error handling.

• Knowledge of CI/CD, automated testing, and operational reliability methodologies.

• Proven history of delivering reliable, well-tested services in production settings.

• Ability to navigate ambiguity and propel projects forward with minimal supervision.

• Experience in data pipeline development using tools such as Airflow, Airbyte, Dagster, or equivalent.

• Familiarity with dbt or similar data transformation frameworks.

• Background in fintech, payments, or other financial services sectors.

• Acquainted with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate).

• Experience with Kafka or event streaming.

• Proficient in infrastructure-as-code methodologies (Terraform, Pulumi).

• Experience at a company with high transaction volumes where accuracy and reliability are critical.

🏝️ Benefits

• Unlimited PTO.

• 12 weeks of fully paid parental leave.

• 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary).

• Work From Anywhere: the flexibility to work from anywhere in the world for 4 weeks each year.

• 3% cashback on card purchases with your complimentary Privacy.com employee account.

• Comprehensive health, vision, and dental insurance; HSA Contribution Match.

• 401(k) matching.

• Voluntary Life Insurance and Short-Term/Long-Term Disability coverage.