Sr. Data Engineer – INTL

Insight Global; Santa Lucía; Presencial; COP 149.865.000 - 184.120.000; Jornada completa

Descripción de la vacante

Insight Global is seeking a Senior Databricks Data Engineer to drive a high-impact data modernization initiative. You will design, build, and optimize data pipelines within Databricks while migrating from AWS Redshift to a modern data platform.

Collaborate with Data Engineering, Analytics, and Architecture teams, contribute hands-on coding, and deliver scalable solutions in a fast-paced environment.

Formación

• 10+ years of experience in data engineering and related roles.
• Strong track record migrating enterprise data platforms to Databricks.
• Experience designing, building, and optimizing scalable data pipelines.

Responsabilidades

• Design and build data solutions in Databricks.
• Migrate and modernize data platforms from legacy systems (AWS Redshift).
• Collaborate with Data Engineering, Data Platform, Analytics and Architecture teams.
• Deliver reliable, scalable data pipelines under tight timelines.

Conocimientos

Databricks

Data pipelines

SQL

Data modeling

Cloud data environments

Hands-on coding

Collaboration

Communication

AWS Redshift modernization

Descripción del empleo

Job Description

A client in the Food Service Industry is seeking a Senior Databricks Data Engineer to join a high-impact data modernization initiative. This individual will play a critical role in the company's largest technology transformation effort, helping migrate and modernize the enterprise data platform from legacy AWS RedShift to Databricks. The project is considered foundational to the organization's future digital strategy and will enable broader initiatives across web modernization, digital menu enhancements, pricing capabilities, and other customer-facing technology investments. This is a highly hands-on engineering role focused on designing, building, and optimizing data solutions within Databricks. The engineer will work closely with Data Engineering, Data Platform, Analytics, and Architecture teams to develop scalable data pipelines, modernize legacy data assets. Success in this role requires deep Databricks expertise, strong engineering fundamentals, and the ability to thrive in a fast-paced environment where delivery timelines are a top priority. This person has to be comfortable with a rate of $35-43/hr dependent on location and experience level.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 10+ years of experience in Data Engineering
• Strong experience migrating enterprise data platforms to Databricks.
• Proven experience building, optimizing, and supporting modern data platforms
• Expertise designing and developing scalable data pipelines and data processing solutions
• Strong SQL and data modeling experience
• Experience working within cloud-based data environments
• Ability to work as a hands-on builder and contribute directly to development efforts
• Experience collaborating with Data Architects, Platform Engineers, and Analytics teams
• Excellent communication skills and ability to work with technical leadership and cross-functional teams
• Experience working for an Enterprise US-based company AWS Redshift experience, particularly supporting modernization from legacy warehouse platforms
• Experience supporting digital product, web, or customer-facing data ecosystems