Lead Data Engineer

Nestlé Purina; St. Louis (MO); On-site; USD 138,000 - 188,000; Full time

Benefits offered by this job

Bonus eligibility

401k with company match

Healthcare coverage

Job summary

Nestlé Purina in St. Louis, MO is seeking a Lead Data Engineer to drive the technical direction of a data product team and deliver production‑ready data products. You will build, operate, and improve resilient pipelines aligned with Purina’s enterprise data model and engineering standards.

You’ll lead data engineering efforts across Azure Databricks and Python/PySpark, coach engineers, collaborate with product owners, and shape long‑term data roadmaps in an onsite, collaborative environment.

Qualifications

• Bachelor’s degree from an accredited college or university.
• 7+ years of professional experience, with 5+ years in practical, hands-on data engineering.
• 4+ years of experience in the Azure ecosystem.
• 4+ years of experience with Databricks and Python/PySpark.

Responsibilities

• Act as the technical lead for a data product team supporting a specific data domain.
• Develop, test, deploy, and maintain data pipelines that move, transform, and harmonize source data into data products for end users, applications, and other data product teams.
• Ensure solutions follow Purina’s data engineering and architectural standards.
• Monitor the performance of the data pipelines owned within your assigned domain.
• Drive adoption of data engineering best practices within the data engineering guild.
• Coach and mentor other data engineers.
• Collaborate with engineers and architects to mature the enterprise data platform.
• Work with product owners and business stakeholders to shape long-term data product roadmaps.
• Collaborate with stakeholders and the data product team to define data product requirements.

Skills

Azure

Databricks

Python/PySpark

Leadership

Mentoring

Education

Bachelor’s degree

Tools

Azure ecosystem

Databricks

Python

PySpark

Job description

At Nestlé Purina in St. Louis, this Lead Data Engineer role partners with a data product team on a focused data domain, setting the technical direction and ensuring reliable delivery of production-ready data products. You will build, operate, and improve resilient pipelines while aligning the team’s outputs to Purina’s enterprise data model and engineering standards.

What you’ll do

• Act as the technical lead for a data product team supporting a specific data domain
• Develop, test, deploy, and maintain data pipelines that move, transform, and harmonize source data into data products for end users, applications, and other data product teams
• Ensure solutions follow Purina’s data engineering and architectural standards
• Monitor the performance of the data pipelines owned within your assigned domain
• Drive adoption of data engineering best practices within the data engineering guild
• Coach and mentor other data engineers
• Collaborate with engineers and architects to mature the enterprise data platform
• Work with product owners and business stakeholders to shape long-term data product roadmaps
• Collaborate with stakeholders and the data product team to define data product requirements

Requirements

• Bachelor’s degree from an accredited college or university
• 7+ years of professional experience, with 5+ years in practical, hands-on data engineering
• 4+ years of experience in the Azure ecosystem
• 4+ years of experience with Databricks and Python/PySpark

Tools and technologies

• Azure ecosystem
• Databricks
• Python
• PySpark

Compensation and location

Location: St. Louis, MO (onsite)

Salary range: USD 137,758 - 188,424 per year

Final compensation may vary based on factors including knowledge, skills, abilities, and geographic location. It is not typical for an individual to be hired at the top of the range.

Benefits

• Bonus eligibility: Yes
• 401k with company match
• Healthcare coverage

Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage, and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position.