Mid Software Engineer

Design and implement modular, versioned semantic models and transformation pipelines for a data foundation that powers analytics, AI, and operational decisions. Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows.

Requirements

• Strong experience as a software engineer, ideally in high-volume or distributed systems environments.
• A systems thinking mindset—you consider data as a platform, not a pipeline.
• Solid understanding of data quality practices—including validation, enrichment, schema enforcement, and business rule encoding.
• Strong programming skills in Python, Java, or another backend language for data services.
• Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.

Benefits

• 401k Matching
• Generous Paid Time Off