Remote Data Engineer - AI-Powered Pipelines & Impact

Future Works; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Work from anywhere, forever

Immersive company retreats

Equity and profit sharing

Job summary

Future Works is seeking a Data Engineer to build the data foundation powering AI-driven transformations in logistics. You will extract and unify fragmented historical data to fuel simulations, working with Solutions Architects, Business Analysts, and Full Stack Engineers to ensure a secure, canonical schema for fast, accurate insights.

The role emphasizes building robust ETL/ELT pipelines, ensuring data quality, and enabling predictive modelling in a highly regulated environment.

Qualifications

• 5+ years of senior-level data engineering experience with a proven track record of designing data architecture, data lakes/warehouses, and complex ETL/ELT pipelines.
• Technical Mastery: Python, advanced SQL, and modern data processing libraries.
• Cloud Expertise: Hands-on experience in cloud environments to deploy secure, high-performance data infrastructure (e.g., PostgreSQL).
• Domain Knowledge: Experience with supply chain, logistics, or ERP data is highly preferred.
• Agile Execution: Thrive in rapid, hypothesis-driven sprint cycles (12-week models).
• AI-Native Workflow: Comfortable using LLM code assistants and agentic engineering to multiply productivity.

Responsibilities

• Data Ingestion & Structuring: Lead the extraction, ingestion, and harmonization of historical freight, order, inventory, and carrier rate card data.
• Schema Design: Define Minimum Viable Attributes and architect a unified data schema.
• Pipeline Development: Build robust ETL/ELT pipelines for rapid analysis in a regulated environment.
• Quality Assurance for Modelling: Ensure data quality and readiness for training ML models and simulations.
• Infrastructure Collaboration: Work with Solutions Architects to operate within a secure sandbox with data isolation.
• Hypothesis Validation: Support Operations Strategy with data structures to analyze allocation logic.

Skills

Data engineering

Python

SQL

Cloud platforms

PostgreSQL

Logistics data

Agile

LLM tooling

Tools

ETL/ELT pipelines

Job description

Future Works is seeking a Data Engineer to build the data foundation powering AI-driven transformations in logistics. You will extract and unify fragmented historical data to fuel simulations, working with Solutions Architects, Business Analysts, and Full Stack Engineers to ensure a secure, canonical schema for fast, accurate insights.

The role emphasizes building robust ETL/ELT pipelines, ensuring data quality, and enabling predictive modelling in a highly regulated environment.