Skip to main content

Innodata Inc.

Data Engineer

Remote - United States (Remote)$100k–$120kmidAdded 2 days ago

About this role

Innodata seeks a Data Engineer to architect and deploy scalable ETL infrastructure on GCP/AWS, building data warehouses and lakes that support supply chain operations and power AI/ML initiatives like RAG and copilots. You'll design end-to-end data solutions from ingestion through visualization while ensuring governance and optimizing pipeline performance.

What you'll do

  • Design and implement data solutions using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker)
  • Build and optimize ETL/ELT scripts in SQL and Python to process structured and unstructured data from ERP, procurement, and logistics systems
  • Develop scalable data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses
  • Partner with supply chain, real estate, and AI/ML teams to enable advanced use cases including RAG ingestion and multi-agent workflows
  • Implement data governance, lineage tracking, and compliance controls across supply chain datasets
  • Optimize query performance, pipeline reliability, and ETL process efficiency

What they're looking for

  • Advanced SQL (complex queries, optimization)
  • Python (data engineering, scripting, APIs)
  • GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
  • ETL/ELT pipeline development
  • Enterprise data warehouse and data lake architecture
  • Data pipelines for AI/ML (vector databases, embeddings, RAG)
  • Data governance and compliance
  • BI and visualization tools
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Innodata Inc.

Innodata builds AI data infrastructure and solutions, specializing in LLM post-training pipelines, physical AI datasets for robotics, and audio/speech datasets for foundation models. The company is hiring AI/ML engineers, robotics solutions specialists, research engineers, and audio engineers to design data systems, evaluation frameworks, and quality assurance processes that enable cutting-edge AI model development.

View all jobs at Innodata Inc.

Likely interview questions

  • Describe a complex ETL pipeline you've built—how did you handle data quality and performance optimization?
  • How would you design a data architecture to support both real-time supply chain analytics and AI/ML use cases like RAG?
Unlock all 7 questions free — and practice them live →