Data Engineer

At Shipium, we are building the future of supply chain intelligence. As a Data Engineer, you will be the architect of our data flow, responsible for designing and implementing scalable ETL processes that power our analytics, reporting, and industry-leading Shipping AI. You will convert raw shipping and supply chain data into reliable, accessible information that optimizes platform performance and drives AI-driven product surfaces.

What you'll do

• Architect Data Pipelines: Build and maintain high-performance pipelines using Airflow, dbt, and Python to organize raw data for analysis, modeling, and product use cases.
• Power Shipping AI: Partner with Product, Data Science, and ML Engineering to build the infrastructure supporting machine learning workloads, including training datasets, feature pipelines, and model output tables.
• Optimize Performance: Write production-grade SQL (Amazon Redshift) and manage query optimization to support rapidly growing business needs.
• Ensure Reliability: Build instrumentation, monitoring, and alerting to guarantee data freshness, quality, and availability in production environments.
• Innovate Processes: Identify and implement improvements by automating manual tasks and reducing pipeline runtimes.
• Modern Engineering Practice: Utilize AI-assisted developer tools (like Claude Code) daily to accelerate development and participate in design reviews and on-call rotations., In-Office or Remote Mid level Mid level Digital Media * Gaming * Software * Esports * Automation The Data Engineer will create, maintain, and migrate regulatory reporting systems to Google Cloud Platform (GCP), develop data pipelines, and ensure accuracy for regulatory submissions. Top Skills: BigQueryCi/CdCloud ComposerCloud FunctionsCloud StorageGCPGitGitlabGoogle Cloud PlatformPub/SubSQLTerraform AcuityMD, As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders. Top Skills: AirflowCi/CdDbtGitPythonRedshiftSnowflake

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Data Stack: Proficiency in Python and SQL, with experience building orchestration workflows (Airflow preferred) and data transformations (dbt).
• Cloud Infrastructure: Hands-on experience with cloud-based data warehouses (Amazon Redshift) and data lakes (AWS S3).
• Modern Tooling: Familiarity with DuckDB, pandas, Jupyter, UNIX shell scripting, and Git.
• ML/AI Readiness: A solid understanding of dimensional modeling and comfort-building data infrastructure that supports AI workloads.
• Bonus: Exposure to LLM infrastructure patterns (embeddings, vector stores, RAG).

Core Competencies

• Adaptability: You thrive in environments where you manage competing demands and adapt to evolving technical landscapes.
• Collaborative Spirit: You focus on solving conflict, listening to others, and contributing to a positive team spirit.
• Judgment: You exhibit sound reasoning and include the right stakeholders in the decision-making process.
• Communication: You write and speak clearly, translating complex modeling requirements into reliable data products., * Background: Bachelor's degree (Master's preferred) in Computer Science, Data Engineering, or a related field.
• Track Record: 2-4 years of related experience in a data engineering role, or an equivalent combination of education and experience.

At Shipium, Employees enjoy full medical, dental & vision coverage (with 65% coverage for dependents), optional life insurance and long-term disability coverage, a 401(k) retirement plan, fully remote work-from-home options in 28* states, 8 paid weeks of parental leave, paid holidays annually, self-managed vacation time, sick & safety leave, and volunteer time off.

Shipium is committed to creating a diverse environment and is proud to be an equal opportunity employer. Women, people of color, people with disabilities, and veterans are strongly encouraged to apply. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. If you need reasonable accommodation because of a disability for any part of the employment process, please email Human Resources ([email protected]) and let us know the nature of your request and your contact information.

This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and mentorships. Shipium makes hiring decisions based solely on qualifications, merit, and business.

*Although based out of Seattle, WA, Shipium is 100% remote in the following states: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Maryland, Massachusetts, Michigan, Montana, Missouri, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, South Carolina, Tennessee, Texas, Vermont, Washington & Wisconsin.

Pay range 125-133k

Shipium participates in e-Verify, 155K-210K Annually Mid level 155K-210K Annually Mid level Healthtech * Software As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally. Top Skills: BigQueryDagsterDbtGoogle Cloud StoragePython CrowdStrike

As a Data Engineer at Shipium, you'll design and implement ETL processes, build data pipelines, and optimize performance to support AI-driven product surfaces. The summary above was generated by AI About Shipium Shipium builds technical infrastructure for complex supply chains. Modern operators turn to Shipium when they want to turn their supply chain into a strategic value driver. Shipium's platform provides cloud infrastructure and leading AI capabilities that optimize costs and scale automation. We're building tech that connects previously fragmented systems and automates complex supply chain decisions to deliver speed and value across operations. Founded in 2019 by supply chain technology experts from Amazon and Zulily, the company is on a mission to help every eCommerce company provide its customers a great delivery experience while simultaneously reducing their costs to fulfill orders.