Lead Data Engineer, AI-First Platform (Remote)

United States Digital Space LLC; Poland; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

International projects

In-office, hybrid, or remote flex

Medical healthcare

Recognition program

Ongoing learning & reimbursement

Well-being program

Team events & local benefits

Sports compensation

Referral bonuses

Top-tier equipment provision

Job summary

United States Digital Space LLC is seeking a data engineer/backend engineer to join our AI-first global tech team. You will review data sources, assess readiness, and help define integration requirements for high impact use cases.

You’ll work with Azure, Databricks, and AWS, shape architecture, and communicate technical risks to non-technical stakeholders while supporting quick pilots and meaningful platform work. Flexibility includes in-office, hybrid, or remote options.

Qualifications

• Strong hands-on data engineering or backend engineering background.
• Experience with ETL/ELT, data pipelines, APIs, cloud data services, and enterprise integrations.
• Ability to assess data readiness and implementation feasibility.
• Experience supporting architecture and discovery phases.
• Ability to communicate technical risks clearly to non-technical stakeholders.

Responsibilities

• Review available data sources, access patterns, interfaces, and integration options.
• Assess data availability, quality, completeness, and readiness for prioritized use cases.
• Identify ingestion, ETL/ELT, API, and system integration requirements.
• Validate whether proposed AI, automation, and reporting use cases are technically feasible.
• Identify implementation risks, blockers, dependencies, and assumptions.
• Support platform recommendation with implementation-level input.
• Provide rough sizing for Phase 2 build activities.
• Help distinguish what can be piloted quickly versus what requires deeper platform work.
• Support technical documentation for final recommendations.

Skills

Data engineering

Backend engineering

ETL/ELT

Data pipelines

APIs

Cloud data services

Enterprise integrations

Azure

Databricks

Microsoft Fabric

AWS

Technical communication

Tools

Azure

Databricks

Microsoft Fabric

AWS

Job description

United States Digital Space LLC is seeking a data engineer/backend engineer to join our AI-first global tech team. You will review data sources, assess readiness, and help define integration requirements for high impact use cases.

You’ll work with Azure, Databricks, and AWS, shape architecture, and communicate technical risks to non-technical stakeholders while supporting quick pilots and meaningful platform work. Flexibility includes in-office, hybrid, or remote options.