Alternative Path is seeking skilled software developers to collaborate on client projects with an asset management firm. In this role, you will collaborate with individuals across various company departments. to shape and innovate new products and features for our platform, enhancing existing ones. You will have a large degree of independence and trust, but you won't be isolated; the support of the Engineering team leads, the Product team leads, and every other technology team member is behind you. This is an opportunity to join a team-first meritocracy and help grow an entrepreneurial group inside Alternative Path. You will be asked to contribute, given ownership, and will be expected to make your voice heard.
Role Summary
Design and implement Python-based data ingestion pipelines using a proprietary data onboarding platform to orchestrate and schedule workloads on an AWS-hosted Kubernetes environment. Pipelines ingest data from external vendors via SFTP, S3, Snowflake, and REST APIs; land raw data in Amazon S3; and transform it into curated, query-ready tables in Snowflake and Iceberg. You will work closely with Data Managers and Software Engineers to understand existing legacy Apache Airflow logic and translate those requirements into efficient, well-tested implementations on the firm’s strategic ingestion platform. Apply AI/LLM-assisted tooling to accelerate pipeline configuration, automate documentation, and strengthen data quality validation and monitoring.
Requirements
Role Overview
The Data Onboarding Team is seeking a creative and detail-oriented developer to contribute to projects. The team develops critical applications to onboard vendor data sets into our data warehouse, including data ingestion, parsing, normalization and quality controls. The team mission is to deliver data to downstream data scientists and analysts with a high degree of resilience, velocity and adaptability to onboard new data sets. We are seeking someone who is self-motivated, self-sufficient, with a passion for tinkering and a love for automation.
In your role, you will: ➢ Collaborate with other software engineers to understand and resolve requirements ➢ Design and implement data pipelines in Python/Pandas ➢ Implement test harnesses to extensively test new pipelines ➢ Develop and enhance core library functions to provide robust data processing features ➢ Implement observability and alerting features with Open Telemetry and Prometheus
Qualifications Must have ➢ Bachelor’s or Master’s degree in computer science or engineering ➢ 5-8 years of software development experience ➢ Strong experience building enterprise solutions in Python ➢ Pandas and data science transformation logic ➢ Experience with Apache Airflow ➢ Experience with CSV and Parquet data formats ➢ Exposure to SQL queries (basic queries and joins)
Preferred ➢ AWS experience, including Kubernetes ➢ S3 experience ➢ Familiarity with Data bricks
