Senior Data Integration Engineer (AWS, AI, Snowflake)

EPAM Systems; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

EPAM Systems Inc. seeks a Senior Data Integration Engineer to design and operate scalable data pipelines across AWS and GCP using Python, SQL, Airflow, Spark, and Databricks or Snowflake.

You will collaborate with cross-functional teams to ensure delivery quality and continuously improve data integration architectures to support analytics at scale.

Deep knowledge of CI/CD, SDLC practices, and strong English communication in an Agile environment are required to drive pragmatic data solutions.

Qualifications

• At least 3 years of relevant professional experience.
• Strong AI awareness and familiarity with AI principles.
• Advanced Python capability for data integration development.
• Experience with AWS and Google Cloud environments.
• Strong background in data integration across multiple sources.
• Proficient in SQL and NoSQL concepts.
• Familiar with CI/CD practices for automated releases.
• Experience with Apache Airflow for workflow orchestration.
• Experience with Databricks or Snowflake for large-scale processing.
• Experience with Apache Spark and SDLC methodologies.
• Excellent English communication (B2+) in Agile settings.

Responsibilities

• Build scalable and durable data integration systems aligned with requirements.
• Coordinate with multidisciplinary teams to ensure timely delivery.
• Participate in architecture discussions and guide project direction.
• Review code and provide feedback to maintain engineering standards.
• Resolve technical issues in the data pipeline lifecycle.
• Mentor junior colleagues and share knowledge.
• Assist with planning, scope refinement, and reliable estimates.
• Monitor technology trends and adopt worthwhile methods.
• Document key decisions and data workflows for stability.
• Align with stakeholders on objectives and verify delivery meets expectations.

Skills

Python

SQL

Apache Spark

CI/CD

Agile

English (B2+)

Tools

AWS

Google Cloud Platform

Airflow

Databricks

Snowflake

Job description

We are expanding our data integration capability and need a Senior Data Integration Engineer with solid AI awareness and strong engineering habits. You will build and operate pipelines across AWS and GCP, using Python, SQL, Airflow, Spark, and Databricks or Snowflake to integrate data at scale.

Responsibilities

• Build scalable and durable data integration systems aligned with business and technical requirements
• Coordinate with multidisciplinary teams to ensure deliverables are timely and meet quality criteria
• Participate in architecture conversations and provide perspectives that guide project direction
• Evaluate code produced by other engineers and share practical feedback to sustain engineering standards
• Resolve intricate technical issues encountered throughout the data pipeline lifecycle
• Guide junior colleagues through knowledge sharing that builds their capabilities
• Assist with planning by helping refine scope and delivering reliable estimates
• Monitor technology trends and incorporate worthwhile methods into regular engineering work
• Document key technical decisions and data workflows clearly to support system stability
• Align with stakeholders on clear objectives and validate that deliverables meet expectations

Requirements

• At least 3 years of applicable, relevant professional experience
• Functional knowledge of AI principles and tools, leveraged to enhance data integration solution development
• Advanced Python capability for creating and sustaining data integration applications
• Hands-on experience operating in Amazon Web Services cloud environments
• Strong background in Data Integration, joining and consolidating data from multiple sources
• Skilled use of SQL to manage, organize, and extract data from relational databases
• Familiarity with NoSQL database systems for unstructured and semi-structured data handling
• Understanding of CI/CD practices that support automated, consistent releases of software and pipelines
• Working knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutions
• Experience with Apache Airflow for workflow orchestration and scheduling
• Practical experience with Databricks or Snowflake for large-scale data processing and analytics support
• Hands-on knowledge of Apache Spark for analyzing and processing sizable datasets
• Awareness of SDLC Methodologies and their use in structured, efficient project management
• Experience working in Agile settings that promote iterative, collaborative development
• Confident English communication skills at a B2 level (Upper-Intermediate) or higher