Chief Data Engineer

EPAM Systems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems seeks a Lead Data Engineer to join a high-performing agile team supporting a prominent investment management organization. You will design, build, and deliver scalable data solutions for trading platforms, reporting systems, and investment operations.

The role emphasizes cloud technologies, ETL/ELT pipelines, data governance, and CI/CD, with strong SQL, Snowflake, and AWS experience. Excellent communication and collaboration with cross-functional teams are required.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience).
• 7+ years of professional Data Engineering experience.
• Strong SQL, Snowflake and data warehousing expertise.
• Experience with AWS cloud services.
• Strong Python for data processing and ETL.
• Familiarity with GitHub or Bitbucket.
• Experience building and maintaining CI/CD pipelines.
• Strong understanding of Agile delivery methodologies.
• Excellent communication and stakeholder management skills.
• Ability to work independently while contributing as part of a team.
• English proficiency at B2 level or higher.
• Nice to have Power BI or similar BI tools.
• Skills in API development and integration.
• Familiarity with investment or financial services data.
• Experience supporting trading and reporting platforms.
• Exposure to AWS Glue, Athena, Lambda, S3, REST APIs, and SnapLogic.
• Experience working within scaled Agile frameworks.

Responsibilities

• Design, build, and maintain scalable data integration and data warehousing solutions.
• Collaborate with Product Owners and Engineers to refine requirements.
• Translate user stories into robust data solutions using cloud technologies.
• Develop and optimize ETL/ELT pipelines for financial data.
• Build SQL objects like views, procedures, and functions.
• Establish data integration workflows across platforms.
• Contribute to architecture and design discussions.
• Uphold data quality, security, and governance standards.
• Participate in Agile ceremonies and stakeholder reviews.
• Present completed solutions and business value to stakeholders.
• Support CI/CD implementations and deployment practices.
• Mentor team members and promote best practices.

Skills

SQL

Snowflake

Data warehousing

AWS

Python

CI/CD

Agile

Communication

English proficiency

Power BI

API development

Financial data

Trading data

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

GitHub

Bitbucket

AWS Glue

Athena

Lambda

S3

SnapLogic

REST APIs

Job description

We're looking for a highly driven Lead Data Engineer to become part of a high-performing agile team that supports a prominent investment management organization. This position suits an experienced data professional who possesses strong expertise in modern data platforms, cloud technologies, and financial data integration. The chosen candidate will serve as the voice of Data Engineering within a cross-functional squad, helping design, build, and deliver scalable data solutions that support trading platforms, reporting systems, and investment operations.

Responsibilities

• Design, build, and maintain scalable data integration and data warehousing solutions


• Collaborate with Product Owners, Scrum Masters, Business Analysts, SMEs, and Engineers to analyze and refine business requirements


• Translate user stories into robust technical solutions using modern cloud and data technologies


• Develop and optimize ETL/ELT pipelines for processing financial and investment data


• Build and maintain SQL-based database objects, including views, stored procedures, and functions


• Establish and support data integration workflows across enterprise platforms


• Contribute to solution architecture, technical design discussions, and implementation efforts


• Uphold high standards of data quality, performance, security, and governance


• Participate actively in Agile ceremonies, including sprint planning, estimation, retrospectives, and showcases


• Present completed solutions and communicate their business value to stakeholders


• Support the implementation of CI/CD processes and drive continuous improvement in deployment practices


• Mentor team members and promote engineering best practices

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience)


• A minimum of 7 years of professional experience in Data Engineering


• Advanced proficiency in SQL, Snowflake, and Data Warehousing concepts and architectures


• Practical experience with AWS cloud services


• Strong Python skills for data processing and ETL development


• Familiarity with source control systems such as GitHub or Bitbucket


• Experience building and maintaining CI/CD pipelines


• Strong understanding of Agile delivery methodologies


• Excellent communication and stakeholder management skills


• Ability to work independently while contributing effectively as part of a team


• English proficiency at B2 level or higher


• Nice to have Experience with Power BI or similar business intelligence and reporting tools


• Skills in API development and integration


• Familiarity with investment, asset management, or financial services data


• Experience supporting trading, reporting, accounting, or general ledger platforms


• Exposure to AWS Glue, Athena, Lambda, S3, REST APIs, and SnapLogic


• Experience working within scaled Agile frameworks