Senior Data Integration Engineer (AI, Python, Databricks)

EPAM Systems; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Job summary

EPAM Systems Inc in Colombia is seeking a Senior Data Integration Engineer who designs scalable, reliable data pipelines and applies practical AI insights. You will partner with cross-functional teams to implement cloud-based workflows using Python, SQL, Airflow, Spark, and platforms such as Databricks or Snowflake.

You will mentor colleagues, review code, participate in architecture discussions, ensure quality and documentation, and help clarify scope with stakeholders.

Qualifications

• 3+ years of data integration experience.
• Strong SQL and data modeling skills.
• Experience with cloud data platforms (AWS/GCP).
• Familiarity with AI concepts in data integration.
• Knowledge of CI/CD and Agile methodologies.
• Excellent written and spoken English (B2+).

Responsibilities

• Design scalable, long-lasting data integration systems that satisfy both business and technical needs.
• Collaborate with cross-functional teams to deliver work on time while meeting quality standards.
• Contribute to architecture discussions by sharing input that shapes data integration direction.
• Review peers’ code and provide actionable feedback to uphold reliable engineering practices.
• Troubleshoot complex technical problems that arise across the data pipeline lifecycle.
• Mentor junior colleagues by sharing knowledge that strengthens their technical skills.
• Support planning activities by clarifying scope and providing trustworthy time estimates.
• Stay current with evolving technologies and introduce valuable approaches into day-to-day work.
• Maintain clear documentation of key technical decisions and data workflows to ensure long-term stability.
• Partner with stakeholders to define goals and verify outcomes meet expectations.

Skills

AI principles

Python programming

SQL proficiency

CI/CD

Agile experience

English communication (B2+)

Tools

Python

SQL

Airflow

Spark

Databricks

Snowflake

AWS

GCP

NoSQL

Job description

We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity. You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake. Apply now to help deliver high-quality integrations and keep advancing your AI skillsResponsibilitiesDesign scalable, long-lasting data integration systems that satisfy both business and technical needsCollaborate with cross-functional teams to deliver work on time while meeting quality standardsContribute to architecture discussions by sharing input that shapes data integration directionReview peers’ code and provide actionable feedback to uphold reliable engineering practicesTroubleshoot complex technical problems that arise across the data pipeline lifecycleMentor junior colleagues by sharing knowledge that strengthens their technical skillsSupport planning activities by clarifying scope and providing trustworthy time estimatesStay current with evolving technologies and introduce valuable approaches into day-to-day workMaintain clear documentation of key technical decisions and data workflows to ensure long-term stabilityPartner with stakeholders to define goals and verify outcomes meet expectationsRequirementsAt least 3 years of applicable, relevant professional experienceFunctional knowledge of AI principles and tools, applied to improve data integration solution developmentAdvanced proficiency in Python for developing and maintaining data integration applicationsHands-on background working in cloud environments built on Amazon Web ServicesStrong foundation in Data Integration, combining and harmonizing data from multiple sourcesSolid SQL skills for structuring, managing, and querying relational databasesFamiliarity with NoSQL database systems to work with unstructured and semi-structured dataUnderstanding of CI/CD practices that enable consistent, automated deployment of software and pipelinesWorking knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutionsExperience with Apache Airflow to schedule, orchestrate, and monitor data workflowsPractical experience with Databricks or Snowflake to support large-scale processing and analyticsHands-on knowledge of Apache Spark for processing and analyzing substantial datasetsAwareness of SDLC Methodologies and how they support organized, efficient project deliveryExperience working in Agile settings that encourage iterative, team-oriented developmentConfident English communication skills at a B2 level (Upper-Intermediate) or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.