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Senior Data/ML Engineer
Location
United States
Posted
5 days ago
Salary
Not specified
Job Description
Role 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.
- 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.
- Establish and maintain data quality, observability, and governance frameworks to ensure reliable data at scale.
- Document data flows, integration contracts, and operational runbooks for efficient scaling and knowledge sharing.
- Develop solutions leveraging modern ML technologies, including LLMs, embeddings, recommendations, and forecasting models.
Qualifications
- 5+ years of experience in data engineering, with hands-on exposure to machine learning, MLOps, or backend workflow automation.
- Proficiency in SQL and Python, with experience using ML frameworks and libraries.
- Deep expertise in modern data stack tools such as dbt, Snowflake, and Looker/Omni; experience with Kafka or Flink is a plus.
- Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices.
- Knowledge of data governance, data quality, observability, and security/analytics best practices.
- Experience building products with generative AI, LLMs, embeddings, or advanced ML techniques.
- Excellent problem-solving, communication, and collaboration skills for working across global, cross-functional teams.
Benefits
- Competitive base salary: $151,000 – $205,000 depending on location, plus potential variable compensation.
- Equity participation in the company.
- 401(k) match, medical, dental, vision, and life insurance coverage.
- Fully remote work with monthly home office stipend.
- Flexible vacation and paid time off policy.
- Family planning resources and specialized employee support programs.
- Learning and development program for professional growth in market-focused areas.
Job Requirements
- 5+ years of experience in data engineering, with hands-on exposure to machine learning, MLOps, or backend workflow automation.
- Proficiency in SQL and Python, with experience using ML frameworks and libraries.
- Deep expertise in modern data stack tools such as dbt, Snowflake, and Looker/Omni; experience with Kafka or Flink is a plus.
- Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices.
- Knowledge of data governance, data quality, observability, and security/analytics best practices.
- Experience building products with generative AI, LLMs, embeddings, or advanced ML techniques.
- Excellent problem-solving, communication, and collaboration skills for working across global, cross-functional teams.
Benefits
- Competitive base salary: $151,000 – $205,000 depending on location, plus potential variable compensation.
- Equity participation in the company.
- 401(k) match, medical, dental, vision, and life insurance coverage.
- Fully remote work with monthly home office stipend.
- Flexible vacation and paid time off policy.
- Family planning resources and specialized employee support programs.
- Learning and development program for professional growth in market-focused areas.
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