Data Engineer

Shipium

Data Engineer architecting data flow for supply chain intelligence at Shipium. Designing ETL processes to optimize analytics, reporting, and drive AI products.

Posted 5/14/2026full-timeRemote • Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Idaho, Illinois, Maryland, Massachusetts, Missouri, Montana, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, South Carolina, Tennessee, Texas, Vermont, Washington, Wisconsin • 🇺🇸 United StatesJuniorMid-Level💰 $125,000 - $133,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudPandasPythonShell ScriptingSQLUnix

About the role

Key responsibilities & impact

Build and maintain high-performance pipelines using Airflow, dbt, and Python to organize raw data for analysis, modeling, and product use cases
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
Write production-grade SQL (Amazon Redshift) and manage query optimization to support rapidly growing business needs
Build instrumentation, monitoring, and alerting to guarantee data freshness, quality, and availability in production environments
Identify and implement improvements by automating manual tasks and reducing pipeline runtimes
Utilize AI-assisted developer tools (like Claude Code) daily to accelerate development and participate in design reviews and on-call rotations

Requirements

What you’ll need

Bachelor’s degree (Master’s preferred) in Computer Science, Data Engineering, or a related field
2–4 years of related experience in a data engineering role, or an equivalent combination of education and experience
Proficiency in Python and SQL, with experience building orchestration workflows (Airflow preferred) and data transformations (dbt)
Hands-on experience with cloud-based data warehouses (Amazon Redshift) and data lakes (AWS S3)
Familiarity with DuckDB, pandas, Jupyter, UNIX shell scripting, and Git
A solid understanding of dimensional modeling and comfort-building data infrastructure that supports AI workloads.

Benefits

Comp & perks

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
volunteer time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLAirflowdbtAmazon RedshiftAWS S3DuckDBpandasJupyterUNIX shell scripting

Certifications

Bachelor’s degreeMaster’s degree