Senior Data Engineer

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

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Employee Groups

Job summary

EPAM Systems, Inc. is seeking a Senior Data Engineer to build a next-generation retail and omnichannel analytics platform. You will drive hands-on data engineering, platform best practices, and scalable architecture in a global, dynamic environment.

You will shape ingestion and transformation frameworks, enable self-service analytics, and advance AI-enabled development while mentoring engineers across teams.

Qualifications

• 3+ years of data engineering experience.
• Strong leadership skills to mentor engineers.
• Proven delivery across end-to-end analytics lifecycles.
• Advanced Databricks skills in enterprise production environments.
• Expert Apache Spark and PySpark skills for scalable processing.
• Strong SQL skills for analytics and performance tuning.
• Upper-Intermediate English proficiency (B2).

Responsibilities

• Design scalable data ingestion, transformation, and data product frameworks.
• Define Databricks best practices for medallion layers, governance, and performance.
• Build batch and near real-time pipelines using Databricks and Spark.
• Deliver end-to-end data products for retail and omnichannel analytics use cases.
• Develop trusted analytical datasets, semantic models, and governed consumption layers.
• Implement data quality, lineage, monitoring, and observability standards.
• Lead proof-of-concepts to evaluate and adopt new platform capabilities.
• Define AI SDLC and AI-assisted development patterns for engineering teams.
• Partner with cross-functional stakeholders to ensure adoption.
• Mentor engineers on reusable frameworks and operational excellence.

Skills

Data engineering

Databricks

Spark

PySpark

SQL

Leadership

English (B2)

Tools

Databricks

Spark

SQL

Job description

We are looking for a Senior Data Engineer to build a next-generation retail and omnichannel analytics platform, and we need you to drive hands-on data engineering, platform best practices, and scalable architecture. You will shape ingestion and transformation frameworks, enable self-service analytics, and advance AI-enabled engineering.ResponsibilitiesDesign scalable data ingestion, transformation, and data product frameworksDefine Databricks best practices for medallion layers, governance, and performanceBuild batch and near real-time pipelines using Databricks and SparkDeliver end-to-end data products for retail and omnichannel analytics use casesDevelop trusted analytical datasets, semantic models, and governed consumption layersImplement data quality, lineage, monitoring, and observability standardsLead proof-of-concepts to evaluate and adopt new platform capabilitiesDefine AI SDLC and AI-assisted development patterns for engineering teamsPartner with cross-functional stakeholders to align solutions and ensure adoptionMentor engineers on reusable frameworks and operational excellenceRequirements3+ years of data engineering experienceStrong leadership skills to drive technical direction and mentor engineersProven project delivery skills across end-to-end analytics lifecyclesAdvanced Databricks skills in enterprise production environmentsExpert Apache Spark and PySpark skills for scalable data processingStrong SQL skills for analytics, modeling, and performance tuningUpper-Intermediate English proficiency (B2)Nice to haveData architecture experience for lakehouse and enterprise analytics platformsData solution architecture experience to standardize patterns across teamsScala experience for Spark-based pipeline developmentWe 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