Senior Data Integration Engineer, AI-Driven Cloud Pipelines

EPAM Systems Inc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer in the United States to design and run cloud-based data pipelines using Python, SQL, Airflow, Spark, and platforms like Databricks or Snowflake.

You will partner with a collaborative team to deliver scalable, reliable data integration solutions. The role requires practical AI familiarity, strong cloud experience (AWS and GCP), and hands-on knowledge of Databricks/Snowflake and Spark.

Qualifications

• 3+ years of relevant professional experience.
• Knowledge of AI principles applied to data integration.
• Advanced Python for data integration applications.
• Hands-on AWS cloud experience.
• Strong SQL skills for relational databases.
• Familiarity with NoSQL databases and unstructured data.
• Understanding of CI/CD practices.
• Experience with Google Cloud Platform.
• Experience with Apache Airflow.
• Experience with Databricks or Snowflake.
• Hands-on Apache Spark.
• Experience in Agile environments.
• Proficient English communication at B2 level or higher.

Responsibilities

• Design scalable, long-lasting data integration systems that satisfy 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

Python proficiency

SQL proficiency

CI/CD understanding

Agile experience

English communication

Tools

Airflow

Databricks

Snowflake

Apache Spark

Google Cloud Platform

Amazon Web Services

Job description

EPAM Systems Inc. is seeking a Senior Data Integration Engineer in the United States to design and run cloud-based data pipelines using Python, SQL, Airflow, Spark, and platforms like Databricks or Snowflake.

You will partner with a collaborative team to deliver scalable, reliable data integration solutions. The role requires practical AI familiarity, strong cloud experience (AWS and GCP), and hands-on knowledge of Databricks/Snowflake and Spark.