Product Engineer – Data & AI

Sifted

Product Engineer Data & AI focusing on building tools for shippers and 3PLs. Managing data pipelines and automation in logistics optimization using AI.

Posted 6/12/2026full-timeRemote • Kansas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformJenkins

About the role

Key responsibilities & impact

Build and maintain the data pipelines, automation, and product features that shippers and 3PLs depend on
Partner with product, operations, domain experts, and customers to define problems and validate that what you build actually solves them
Own problems end-to-end — from understanding the business need through designing, building, shipping, and supporting the solution in production
Write and own your own tests and data-quality checks, catching correctness issues before they reach customers
Use AI and automation to accelerate how you build, while verifying and standing behind everything you ship
Work across the stack — data, backend, and the customer-facing surfaces — going wherever the problem leads

Requirements

What you’ll need

Experience with a modern cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and its transformation tooling (e.g. dbt)*
Demonstrated success implementing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins, BitBucket pipelines)
3+ years of professional experience in software engineering or data engineering
Designed or managed data pipelines handling millions of records daily
Proven experience gathering requirements and working directly with stakeholders*
Experience deploying and maintaining systems in cloud environments (AWS, Azure, or GCP)
Demonstrated ability and willingness to embrace AI as a core tool for problem-solving and innovation

Benefits

Comp & perks

Best-in-class compensation package
Unmatched comprehensive benefit program
Flexibility to achieve and accomplish results
Extremely collaborative work environment across teams to drive results
Culture is built on how we improve people’s lives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesautomationcloud data warehousetransformation toolingCI/CD pipelinesdata quality checksAIsoftware engineeringdata engineeringrequirements gathering

Soft Skills

problem-solvingcollaborationstakeholder engagementend-to-end ownershipinnovation