Is the Data Engineer position at Innodata Inc. fully remote?

Yes, this Data Engineer position at Innodata Inc. is a remote position. The role is available for candidates in Canada.

Is this a full-time or part-time Data Engineer role?

This is a full-time Data Engineer position at Innodata Inc..

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

You can apply for this Data Engineer position by clicking the "Apply Now" button on this page, which will take you to Innodata Inc.'s application portal.

Data Engineer at Innodata Inc.

Canada

<div class="content-intro">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.</div>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: <ul> <li>Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.</li> <li>Build ETL scripts using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.</li> <li>Develop and optimize data pipelines for ingestion, transformation, and loading into enterprise data lakes and warehouses.</li> <li>Build and extend end-to-end data and BI solutions, spanning extraction, storage, transformation, and visualization layers.</li> <li>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).</li> <li>Ensure data governance, lineage, and compliance across supply chain datasets.</li> <li>Continuously optimize query performance, ETL processes, and pipeline reliability.</li> </ul> You’ll Thrive in This Role If You Have: <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Advanced proficiency in SQL (complex queries, optimization) and Python (data engineering, scripting, APIs). </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Experience building ETL/ELT pipelines operating on structured and unstructured data sources. </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Knowledge of enterprise data warehouse and data lake architectures. </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Exposure to data pipelines for AI/ML (vector DB ingestion, embeddings, RAG pipelines, copilots, agents). </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Familiarity with supply chain or data center operations data is a strong plus. </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Bonus: experience with ML Engineering, data visualization tools (Looker, Tableau, Power BI) and MLOps practices.  </li> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335551671":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Strong hands-on expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Looker/BI (or similar, preferred). </li> </ul>    <div class="content-conclusion"> 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 <a href="https://consumer.ftc.gov/articles/job-scams." target="_blank">https://consumer.ftc.gov/articles/job-scams.</a>  If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at <a href="mailto:verifyjoboffer@innodata.com" target="_blank">verifyjoboffer@innodata.com</a> and consider reporting it to the FTC at <a href="http://reportfraud.ftc.gov/" target="_blank">ReportFraud.ftc.gov</a>. </div>

Apply Now

Remote Opportunity

Data Engineer

Join Innodata Inc. as a mid professional working remotely from Canada. Explore the role, benefits, and apply in one place.

Data Engineer

Innodata Inc.

Full Time

2 months ago

Canada

Engineering

Mid

SQL

Python

GCP

+5 more

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.

Skills

SQL

Python

GCP

AWS

ETL/ELT

BigQuery

Dataflow

pub/sub

Ready to Apply?

Join Innodata Inc. today

Posted 2 months ago

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