Data Engineer at Shipium

, , United States -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

133000.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Airflow, Dbt, Amazon Redshift, AWS S3, DuckDB, Pandas, Jupyter, Unix Shell Scripting, Git, Dimensional Modeling, ETL Pipeline Design, Data Infrastructure, Machine Learning Workloads, Query Optimization

Industry

Logistics;Transportation;Supply Chain and Storage

Description

About the role 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. What You Bring Technical Expertise 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. Qualifications 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 (hr@shipium.com) 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

Responsibilities

Design and implement scalable ETL pipelines using Airflow, dbt, and Python to power analytics and Shipping AI. Collaborate with Data Science and ML Engineering to build infrastructure for machine learning workloads and optimize Redshift performance.