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# Data Engineer

- **Company:** Luxoft Usa, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Mobile Application Development, Continuous Integration, Python (Programming Language), Node.Js, Operational Databases, Raw Data, Standard Sql, TypeScript, Snowflake, Agentic-AI, Data Pipelines, Automation Anywhere, Databricks
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=32df95eb6041b1be

## About the Role

Must have

Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC

Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)

Production experience with a cloud data warehouse (Snowflake preferred)

Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript

AWS or another enterprise cloud platform

AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD

Strong English and communication skills

## Description

Work closely with product teams to help define and execute technical criteria

Architect and maintain robust data ingestion pipelines that feed both our application and analytics

Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data

Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows

Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling

Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases