Staff Software Engineer, Data Products

Role Description

We are seeking a Staff Software Engineer, Data Engineering to lead the design and development of the production data platform that powers machine learning across Omada.

In this role, you will partner closely with:

• Data Scientists
• Applied AI Engineers
• Product Engineers
• Fellow Data Engineers

Your responsibilities will include:

• Designing, building, and maintaining reusable feature datasets that support machine learning use cases.
• Establishing self-service foundations that streamline and democratize dataset creation across the data organization.
• Partnering with Data Scientists to translate modeling requirements into production-ready feature pipelines.
• Identifying source data, transformations, and historical windows needed for feature engineering.
• Balancing features freshness, correctness, latency, and computational efficiency when designing data pipelines.
• Building datasets that support both historical model training and future production inference.
• Designing and implementing batch and streaming pipelines that transform raw data into trusted ML-ready datasets.
• Building reliable data processing systems using Python, SQL, Spark, and modern cloud data platforms.
• Optimizing large-scale distributed processing for performance, scalability, and cost.
• Ensuring data quality through testing, anomaly detection, schema validation, and pipeline monitoring.
• Establishing engineering standards for correctness, documentation, and maintainability.

Qualifications

• 8+ years building large-scale production data platforms and distributed data pipelines.
• Experience designing reusable datasets that power machine learning, experimentation, or advanced analytics.
• Demonstrated experience partnering closely with Data Scientists to productionize feature engineering workflows.
• Strong experience working with cloud-native data platforms such as AWS.
• Experience building production data systems using Databricks, Iceberg, Spark, Redshift, Snowflake, or similar technologies.
• Experience developing reliable batch and streaming data pipelines.
• Strong programming skills in Python, Java, or Scala.
• Expert SQL with strong data modeling skills.

Requirements

• Experience leading cross-team technical initiatives and influencing engineering direction.
• Experience with Apache Spark or similar distributed compute frameworks.
• Experience with Airflow or similar orchestration platforms.
• Understanding of Feature Stores and ML data lifecycle concepts.
• Experience with Lakehouse Architecture such as Databricks, Iceberg is a strong plus.
• Familiarity with NoSQL Databases (document & graph databases).
• Understanding of software engineering best practices, distributed systems, and cloud-native architectures.

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!