Data Engineer

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Remote - CanadaRemotePosted Today

Role Overview

Innodata Inc. is hiring a Data Engineer. This is a full-time remote role, with the team based in Remote - Canada. Part of Innodata Inc.'s Data Engineering hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Data Engineering roles is $140k-$178k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLAWSGCPBigQueryLookerPipelineTableau

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

We are seeking a Data Engineer to design and build enterprise data warehouses, data lakes, and pipelines that power data-driven decision-making for data center supply chain and real estate operations. This role is responsible for creating scalable, secure, and optimized ETL infrastructure on GCP/AWS, while enabling advanced AI/ML use cases such as RAG, copilots, and agentic AI for predictive analytics and workflow automation.

What You’ll Own:

Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses.
Build and extend end-to-end data and BI solutions, spanning extraction, storage, transformation, and visualization layers.
Partner with supply chain, real estate, and AI/ML teams to provide pipelines for AI solutions (e.g., RAG ingestion, Copilot integration, multi-agent workflows).
Ensure data governance, lineage, and compliance across supply chain datasets.
Continuously optimize query performance, ETL processes, and pipeline reliability.

You’ll Thrive in This Role If You Have:

Advanced proficiency in SQL (complex queries, optimization) and Python (data engineering, scripting, APIs).
Experience building ETL/ELT pipelines operating on structured and unstructured data sources.
Knowledge of enterprise data warehouse and data lake architectures.
Exposure to data pipelines for AI/ML (vector DB ingestion, embeddings, RAG pipelines, copilots, agents).
Familiarity with supply chain or data center operations data is a strong plus.
Bonus: experience with ML Engineering, data visualization tools (Looker, Tableau, Power BI) and MLOps practices.
Strong hands-on expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker/BI (or similar, preferred).

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

About Innodata Inc.

Innodata Inc.

innodata.com

Data EngineeringHires remote

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Frequently Asked Questions

How do I apply for the Data Engineer position at Innodata Inc.?

Use the Apply button above to submit your application directly to Innodata Inc.. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Data Engineer role at Innodata Inc. remote?

Yes. This is a remote role. The team is based in Remote - Canada, but the position itself does not require relocating to that office.

What does a Data Engineer at Innodata Inc. earn?

Innodata Inc. has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Engineer role at Innodata Inc. posted?

This role was posted on July 22, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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