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Data Engineer II

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and operate data engineering solutions for key business objectives

  • Contribute to frameworks for data ingestion, processing, integration and governance

  • Conduct code reviews with feedback on logic, design and correctness

  • Monitor platform stability and operational SLAs

  • Extend DevOps capabilities for deploying data solutions

From the employer’s posting
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
Conducts code reviews as a core expectation of the role, providing feedback on logic, design patterns, and correctness
Leverages monitoring tools/processes to ensure platform stability and operational SLAs
Extends DevOps capabilities for deploying data solutions

What you’ll bring

All qualifications

Core experience

  • Bachelor’s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field
  • 1+ years of working building enterprise data solutions
  • Experience in being a member of cross-functional teams.
  • Strong communication skills with comfort in speaking with business stakeholders
  • Good SQL development and analytical skills
  • Proven experience creating data assets used in mission-critical applications
Qualification wording
Bachelor’s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field
1+ years of working building enterprise data solutions
Experience in being a member of cross-functional teams.
Strong communication skills with comfort in speaking with business stakeholders
Good SQL development and analytical skills
Proven experience creating data assets used in mission-critical applications
Education & alternatives
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.
Apply at Heinz

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At Heinz, jobs usually come down by about day 21.

From 11,504 similar postings that came down, and 55 of Heinz’s. Coming down is not always a hire.

Heinz is hiring

32 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 13% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • dbt
  • Power BI
  • Snowflake
  • Tableau
  • PySpark
  • Great Expectations
Where the posting names them
- 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
- 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
- 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)

Your next step

Complete your application on heinz.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Heinz posted this job before?

Yes. We’ve followed one other Data Engineer II job there since November 2026. It is still up.

  1. BengaluruStill up after 2 days, first seen Nov 6
  2. This jobUp 2 days so far, first seen Nov 6

About Heinz

People
About 35,000 in 2025, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as KHC.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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)

Bengaluru - Brookfield GCC


 

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

Source details

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Location & working pattern

Bengaluru - Brookfield GCC

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