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# Product Engineer Data & AI

- **Company:** Sifted Llc
- **Location:** Overland Park, KS, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, C Sharp (Programming Language), Information Engineering, Data Warehousing, Github, Software Engineering, Cloud Platform System, ReactJS, Snowflake, Backend, Bitbucket, Data Pipelines, Jenkins, Amazon Redshift
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0a86b284f45948d1

## About the Role

Do you have experience in Tooling?, * 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

Nice to Have

 * Hands-on experience with C# and/or React
 * Background in parcel shipping or third-party logistics (3PL)

## Description

As a Product Engineer, you'll help build the tools and automation that shippers and 3PLs rely on to run their business - owning problems end to end. You'll collaborate closely with your team, product partners, domain experts, and clients to build a deep understanding of a domain problem, then work backwards to the right technical solution. You'll use automation and AI as core tools in how you approach and deliver solutions that make a real difference for the shippers and 3PLs who depend on them.

 * 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


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