Senior Data Software Engineer/ AWS, Databricks, PySpark

We are looking for a Senior Data Software Engineer to join a team that builds and maintains data infrastructure and platform tooling for a large engineering organization. The work spans cross-region data exchange solutions, Databricks-based data sharing infrastructure, and backend integrations used daily by engineers across multiple regions.
ResponsibilitiesDesign and implement solutions for cross-region data exchange in environments with strict regulatory and security requirementsBuild and maintain scalable backend services and integrations using PythonDevelop and support data pipelines using PySpark and Apache Airflow (MWAA)Deploy and manage Databricks environments on AWS via reusable Terraform modulesEstablish and maintain Delta Sharing for secure data sharing between Databricks accountsCreate microservices and platform tooling that enable collaboration across distributed engineering teamsContribute to platform initiatives used by engineers globallyCollaborate with cross-functional stakeholders spanning multiple geographies and business unitsRequirements3+ years of experience in Data Software EngineeringStrong backend engineering experience in Python, including async patterns, clean code, and testing with pytestWorking knowledge of AWS services such as IAM, S3, and DynamoDBFamiliarity with Kubernetes on AWS, CodeArtifact, and MWAAHands-on proficiency in Databricks and PySpark for data pipeline development and platform managementBackground in designing and building microservices architecture and distributed systemsSkills in Infrastructure as Code using Terraform or equivalentUnderstanding of data security and privacy principles, including GDPROwnership — proactive accountability for deliverables end-to-endTeam player — respectful communication and shared responsibility for team outcomesOrganisational skills — self-directed and able to manage workload in a distributed teamEngineering mastery — commitment to quality, best practices, and continuous improvementEnglish level B2+, with the ability to communicate fluently with English-speaking stakeholders and share technical reasoning clearlyNice to haveExpertise in Delta tables and Delta SharingCompetency in data modeling and extensible schema designWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.