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Salary
$64k – $90k per year (gross)
Location
Hybrid (Vilnius, Kaunas, Lithuania)
Seniority
Staff
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

First seen by Alion on Nov 1, 2026. EPAM Systems scores C on the Alion truth index.

Overview
Company
Impact
Profile match
EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.

Job Description

We are seeking an open-minded Lead Data Software Engineer to drive the development and maintenance of our data-driven architecture.

In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality.

If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.

_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._

  • Design and implement data pipelines
  • Perform data ingestion processes to integrate existing data sources into the new platform
  • Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments
  • Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines
  • Take part in the design of on-premises to cloud migration activities

Requirements

  • Strong experience in Java, Python or Scala
  • Proficiency in SQL
  • Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)
  • Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking
  • Hands-on experience with any major cloud provider: Azure, AWS or GCP
  • B2 English level, both verbal and written

Company offers

  • Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
  • Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
  • World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
  • Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
  • GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
  • Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
  • Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
  • Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
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