Senior Data Integration Engineer (AI, Python, Databricks)

EPAM Systems; Argentina; Remote; ARS 1,500,000 - 2,100,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to design scalable cloud-based data pipelines using Python, SQL, Airflow, Spark, and Databricks/Snowflake. You will partner with cross-functional teams to deliver high-quality integrations and advance AI capabilities.

Ideal candidates have 3+ years in data integration, strong cloud experience (AWS, GCP), and hands-on Spark/ETL tooling, with excellent English communication and a collaborative mindset.

Qualifications

• Minimum 3 years of relevant professional experience in data integration.
• Strong functional knowledge of AI principles and tools applied to data integration.
• Advanced proficiency in Python for data integration apps.
• Hands-on cloud experience in AWS and GCP.
• Solid SQL skills for relational data management.
• Familiarity with NoSQL databases for unstructured data.
• Understanding of CI/CD for automated deployments of pipelines.
• Experience with Airflow to schedule and monitor workflows.
• Experience with Databricks or Snowflake for large-scale processing.
• Experience with Apache Spark for data processing.
• Excellent English communication skills (B2 level or higher).

Responsibilities

• Design scalable, long-lasting data integration systems meeting business and technical needs.
• Collaborate with cross-functional teams to deliver work on time and with quality.
• Review peers’ code and provide actionable feedback to ensure reliable engineering practices.
• Troubleshoot complex issues across the data pipeline lifecycle.
• Mentor junior colleagues and share knowledge to strengthen skills.
• Stay current with evolving technologies and introduce valuable approaches.
• Maintain clear documentation of key technical decisions and data workflows.
• Partner with stakeholders to define goals and verify outcomes meet expectations.

Skills

Python

Airflow

AWS

SQL

NoSQL

CI/CD

GCP

Spark

Databricks

Snowflake

English

Tools

Databricks

Snowflake

Apache Spark

Google Cloud Platform

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 LinkedIn