Data Engineer II

Position Summary

The Kraft Heinz Information Technology organization is hiring a Data Engineer II who will be responsible for leveraging framework and platform capabilities to develop high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data to advance the data-driven decision-making across the enterprise. The individual for this position will be an individual contributor with broad experience in the areas of data engineering, data architecture, data management, data quality, and data governance. They will interact with internal stakeholders, drive development, support existing solutions, as well as contribute to the broader data engineering organization. At this level, the engineer owns features and pipelines end-to-end within a project — design, build, test, deploy, and operate — with limited guidance.

Primary Responsibilities

• Develops and operates modern data engineering solutions to meet key business objectives
• Contributes to generic frameworks for data ingestion, data processing, data integrations, and data governance
• Follows best practices for software design, architecture, and implementation
• Conducts code reviews as a core expectation of the role, providing feedback on logic, design patterns, and correctness with constructive commentary
• Leverages monitoring tools/processes to ensure platform stability and operational SLAs
• Extends DevOps capabilities for deploying data solutions
• Supports creation and adoption of data assets for the organization
• Works with product owners to address or prevent common pitfalls

Qualifications

• Bachelor’s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field
• Minimum 1+ years of experience in role delivering and supporting software and data engineering capabilities.
• Exposure to design and software programming development (design patterns, framework development, etc)
• Good in core Python programming language skills (not limited to PySpark or analytical libraries)
• Good SQL development and analytical skills
• Understanding of object-oriented programming principles
• Knowledge of automated code testing (pytest / unittest) and data testing (great expectations / dbt / etc.)
• Hands-on exposure to analytical tools & services (dbt, Snowflake/BigQuery, Tableau/PowerBI)

Domain Expertise

• 1+ years of working building enterprise data solutions
• Proven experience creating data assets used in mission-critical applications
• Experienced in Agile methodologies

Experiences

• Experience in being a member of cross-functional teams.

Individual Skills

• Strong collaborator, team player, and individual contributor
• Strong communication skills with comfort in speaking with business stakeholders
• Strong problem solver with ability to manage and lead the team to push the solution and drive progress

Mindsets and Behaviors

• Passion to challenge the status quo and find new solutions and drive out of the box ideas – loves and embraces change
• Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust
• Not afraid to “roll up sleeves”; seeks to go beyond comfort to learn & pushes teams to do the same
• Empowers others to fail, learn, and grow with an experimental mindset to drive innovation

Location(s)

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.