Lead Big Data Engineer

Remote (United States)

We are hiring a Lead Big Data Engineer, who will support a critical digital transformation project for one a top EPAM client. This is a high-impact role, with the opportunity to advance your skills and grow within a global organization. If you'd like to learn more about this position and project, apply now! Connect with a recruiter today!


  • Lead innovative analytical solutions using Cloud, Big Data, and NoSQL related technologies
  • Design and implement Cloud solutions using best in the class data frameworks
  • Work with product and engineering teams to understand requirements & evaluate the new features and architecture to help drive decisions
  • Build collaborative partnerships with architects and key individuals within other functional groups
  • Generate a detailed analysis of business problems and technical environments to design quality technical solutions
  • Actively participate in code review and test solutions to ensure it meets best practice specifications
  • Maintain a high-performance engineering culture while mentoring team members and providing the team with tools and motivation


  • Extensive Coding experience with programming languages such as Python, PySpark & Scala
  • Hands on experience with the AWS Cloud-Native stack (AWS Glue, AWS EMR, Athena)
  • Familiar with AWS Storage Compute, Identity and Security
  • Highly Skilled with Big Data Technologies such as Spark Core, Spark SQL, Spark ML, Kafka & Spark Streaming
  • Advanced in Data administration, configuration management, storage, integration, debugging and performance tuning
  • Proven history of building data ingestion pipelines, partaking in Data Modeling & Database architecture
  • Exposure to Cloud automation, provisioning, deploying, and administering scalable, available and fault tolerant systems
  • Deep Understanding of SQL queries, NoSQL, RDBMS Optimization & Enterprise Design Patterns
  • Familiar with of CI/CD principles, best practices & compliance awareness such as PI, GDPR and HIPAA
  • Ability to work in a fast-paced agile development environment
  • Comfortable working with load and IoT Data Platform architectures, infrastructures, and performance tuning
  • Knowledge of different business domains & distributed computing principles


  • Medical, Dental and Vision Insurance (Subsidized)
  • Health Savings Account
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability (Company Provided)
  • Life and AD&D Insurance (Company Provided)
  • Employee Assistance Program
  • Unlimited access to LinkedIn learning solutions
  • Matched 401(k) Retirement Savings Plan
  • Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
  • Paid Holidays - nine (9) total per year
  • Legal Plan and Identity Theft Protection
  • Accident Insurance
  • Employee Discounts
  • Pet Insurance
  • Employee Stock Purchase Program
  • If otherwise eligible, participation in the discretionary annual bonus program. Specific terms of the employee’s participation depend on various factors, for example: the employee’s level, overall company performance, and individual performance
  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program. Specific terms of the employee’s participation depend on various factors, for example: the employee’s level, overall company performance, and individual performance

This position operates in a remote capacity, but you must live within driving distance to an EPAM office. Your recruiter will discuss specific details about work location during the initial interview process

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $90k - $150k In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position

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