Data Engineer

Data Engineer, AI Development

Location:

This is a hybrid opportunity where you will work 2 days in the office, 3 days a week from home.

Insight at a Glance

• 14,000+ engaged teammates globally
• $8.2 billion in revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Fortune 500 Company
• Received 25+ industry and partner awards in the past year

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

About the role

The Data Engineer is a key technical role on the AI Development team, responsible for building and maintaining the data pipelines that power our AI transformation and analytics initiatives. In this role, you will work with modern technologies like Databricks, GCP, and Azure to ensure our data is clean, reliable, and accessible for AI model training, RAG-based search, and enterprise reporting. You will help bridge the gap between raw enterprise data and production-ready AI solutions. Your responsibilities include:

• Build and maintain scalable ETL/ELT processes and data pipelines to ingest and transform data from various sources (ERP, CRM, ecommerce) for use in AI agents and analytics.

• Support the maintenance and optimization of our Databricks-based data lakehouse to ensure performance and reliability for data science and business intelligence needs.

• Implement data quality checks and monitoring to ensure the integrity of data assets used in AI applications and enterprise dashboards.

• Partner with AI developers and business stakeholders to prepare and optimize datasets for specific AI use cases and agentic workflows.

• Utilize the Databricks platform (including MCP and Feature Store) to prepare data for machine learning models and AI applications.

• Support data governance practices, including data lineage and security; help catalog and document data assets to make them discoverable for the team.

• Work with native cloud services on Azure and GCP to implement scalable data storage and compute solutions.

• Assist in modeling clean, reliable datasets to support Power BI reporting and business intelligence initiatives.

Be AmbITious:  This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What we’re looking for

• Experience: Minimum 3 years of experience in data engineering, with a focus on building and maintaining production data pipelines.

• Data Platform: Proficiency with Databricks for data engineering and lakehouse support, including PySpark and Databricks Workflows.

• Cloud: Hands-on experience with cloud data services in Microsoft Azure or GCP.

• ETL/ELT: Experience building and optimizing ETL/ELT processes and data transformation workflows.

• Programming: Proficient in Python and SQL. Familiarity with Java or similar languages is a plus.

• Data Platforms: Experience working with enterprise data tools (e.g., Informatica) and familiarity with data modeling for Power BI.

• Problem-Solving: Good analytical and problem-solving skills with a proactive approach to resolving data issues.

• Communication: Strong communication skills in English, with the ability to collaborate effectively in an Agile team environment.

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.

What you can expect
We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: 

• Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
• HMO on Day 1 with 2 free dependent.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

Data Engineer, AI Development

Location:

This is a hybrid opportunity where you will work 2 days in the office, 3 days a week from home.

Insight at a Glance

• 14,000+ engaged teammates globally
• $8.2 billion in revenue in 2025
• Certified as a Great Place to work in 9 Countries in 2025
• Fortune 500 Company
• Received 25+ industry and partner awards in the past year

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

About the role

The Data Engineer is a key technical role on the AI Development team, responsible for building and maintaining the data pipelines that power our AI transformation and analytics initiatives. In this role, you will work with modern technologies like Databricks, GCP, and Azure to ensure our data is clean, reliable, and accessible for AI model training, RAG-based search, and enterprise reporting. You will help bridge the gap between raw enterprise data and production-ready AI solutions. Your responsibilities include:

• Build and maintain scalable ETL/ELT processes and data pipelines to ingest and transform data from various sources (ERP, CRM, ecommerce) for use in AI agents and analytics.

• Support the maintenance and optimization of our Databricks-based data lakehouse to ensure performance and reliability for data science and business intelligence needs.

• Implement data quality checks and monitoring to ensure the integrity of data assets used in AI applications and enterprise dashboards.

• Partner with AI developers and business stakeholders to prepare and optimize datasets for specific AI use cases and agentic workflows.

• Utilize the Databricks platform (including MCP and Feature Store) to prepare data for machine learning models and AI applications.

• Support data governance practices, including data lineage and security; help catalog and document data assets to make them discoverable for the team.

• Work with native cloud services on Azure and GCP to implement scalable data storage and compute solutions.

• Assist in modeling clean, reliable datasets to support Power BI reporting and business intelligence initiatives.

Be AmbITious:  This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What we’re looking for

• Experience: Minimum 3 years of experience in data engineering, with a focus on building and maintaining production data pipelines.

• Data Platform: Proficiency with Databricks for data engineering and lakehouse support, including PySpark and Databricks Workflows.

• Cloud: Hands-on experience with cloud data services in Microsoft Azure or GCP.

• ETL/ELT: Experience building and optimizing ETL/ELT processes and data transformation workflows.

• Programming: Proficient in Python and SQL. Familiarity with Java or similar languages is a plus.

• Data Platforms: Experience working with enterprise data tools (e.g., Informatica) and familiarity with data modeling for Power BI.

• Problem-Solving: Good analytical and problem-solving skills with a proactive approach to resolving data issues.

• Communication: Strong communication skills in English, with the ability to collaborate effectively in an Agile team environment.

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.

What you can expect
We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: 

• Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
• HMO on Day 1 with 2 free dependent.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here .

Internal teammate application guidelines:

• Meet the minimum qualifications and requirements of the position
• Have completed twelve (12) months service in their current position
• Not be under a disciplinary evaluation or suspension period
• Have satisfactory performance in their current position
• Have their current manager/supervisor recommendation

Do you know someone who would make a great Insight teammate?

Referrals are the best way to build quality teams – and a great way for you to earn a little extra cash. Please visit the Teammate Referral Policy page on Inside.Insight to find out how you can refer someone to this job at Insight.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.