Senior Data/ML Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, implement, and optimize core data pipelines, ML workflows, and analytics platforms to deliver high-quality, reliable, and actionable data. Collaborate with product, engineering, and analytics teams to operationalize ML models, automate workflows, and ensure data quality and governance at scale. Develop solutions leveraging modern ML technologies.

Key Highlights

Design and implement core data pipelines, ML workflows, and analytics platforms

Collaborate with cross-functional teams to operationalize ML models and automate workflows

Develop solutions leveraging modern ML technologies

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Key Responsibilities

Design, build, and maintain core data models supporting analytics, machine learning, and generative AI workloads

Implement automation and operationalize ML model workflows to improve efficiency and reduce manual processes

Collaborate with engineering, product, and analytics teams to deliver seamless customer-facing data products and integrations

Technical Skills Required

SQL Python dbt Snowflake Looker/Omni Kafka Flink Machine Learning frameworks and libraries

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Benefits & Perks

Competitive base salary: $151,000 – $205,000

Equity participation in the company

401(k) match, medical, dental, vision, and life insurance coverage

Job Description

This role offers the opportunity to shape and scale the next generation of data infrastructure and machine learning systems that power customer-facing products and business insights. The Senior Data/ML Engineer will design, implement, and optimize core data pipelines, ML workflows, and analytics platforms to deliver high-quality, reliable, and actionable data. You will work closely with product, engineering, and analytics teams to operationalize ML models, automate workflows, and ensure data quality and governance at scale. The position combines hands-on technical expertise with strategic influence, making it ideal for engineers passionate about solving complex data challenges and building impactful ML-driven solutions. Collaboration across global teams and ownership of scalable, customer-focused data products are central to this role.

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