Senior Software Engineer

Description

You will join the team building the next generation data feed platform, working alongside product owners, engineering teams and technical leads.

The main focus is Python data pipelines and file-based data delivery on AWS, with some work on web interfaces for monitoring and configuring feeds.

You will design and build ways to deliver data as CSV, Parquet and JSON files through S3, SFTP and cloud data marketplaces such as Snowflake Marketplace, keeping the systems scalable, reliable and within enterprise SLAs.

Responsibilities

• Build and maintain Python pipelines on AWS using S3, Lambda, Step Functions, Glue and ECS to generate and deliver feed files at scale.
• Design delivery methods for CSV, Parquet and JSON, choosing suitable partitioning, compression and encryption.
• Create data quality checks, monitoring and alerts so feeds arrive reliably.
• Help move legacy feed products to cloud-native AWS architecture, and take part in DevOps work such as CI/CD and infrastructure as code.
• Help build web interfaces for feed monitoring and configuration. Eagerness to learn matters more than strong front-end skills.
• Take part in code reviews, technical documentation and production support.

Requirements

• A bachelor's degree in computer science or a related field, plus 5+ years of software or data engineering experience.
• Experience using Python for data pipelines, ETL and backend services.
• Hands-on work with AWS, Google Cloud Platform or Azure, including compute, storage and serverless services for cloud-native pipelines.
• Experience with CSV, Parquet and JSON, and designing dependable data delivery.
• Working knowledge of SQL and modern development practices such as Git, CI/CD and automated testing.
• Good to Have: experience with Vue.js, React or another modern JavaScript framework.
• Good to Have: familiarity with data governance, metadata management and data lineage.
• Good to Have: experience in financial services or other regulated industries with strict data quality and SLA demands.

Conditions

Base salary range: $93,200.00-$136,696.00.

Hybrid role: in most locations you will be in the office four days a week, so you can collaborate in person regularly.

You will have the tools and resources to work with colleagues around the world, wherever you are based.

Legal entity code: 001MstarInc.

The company is an equal opportunity employer.

Benefits

• Annual incentive with a target of 5%.
• A range of additional benefits is available to support flexibility as your needs change.