Senior Data Software Engineer
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Contract
Open to AR, BR, CO, MX only. Set where you work from to check your eligibility.
No BS summary
This position combines direct technical involvement with leadership responsibilities, offering the chance to influence data architecture while overseeing delivery on intricate projects. You will work in close partnership with stakeholders and engineering teams to ensure solutions stay dependable and scalable over time.
Core skills
Required skills
Optional skills
Required languages
We are seeking a Senior Data Software Engineer to join our team. This position combines direct technical involvement with leadership responsibilities, offering the chance to influence data architecture while overseeing delivery on intricate projects. You will work in close partnership with stakeholders and engineering teams to ensure solutions stay dependable and scalable over time. If you value blending hands-on technical work with accountability for delivery success, this role could be a strong fit for you.
Responsibilities
- Build and sustain the codebase behind ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
- Establish the infrastructure required to pull, convert, and load data efficiently from a range of sources using ADF, Spark, Kafka, or equivalent tools
- Detect, plan, and execute internal process enhancements, such as automating repetitive tasks, improving data delivery, and reshaping infrastructure for stronger scalability
- Create and roll out data services solutions using technologies including Spring Boot, ReactJS, NoSQL, and related UI and API tools
- Oversee governance of delivery management and production workflows in accordance with the chosen delivery model
- Function as the key contact for delivery-related matters with senior leadership and stakeholders, covering escalations, upsells, and ramp-downs
- Guide technical decisions throughout delivery, ensuring the architecture stays solid and future-ready while implementation meets expected quality levels
- Author user stories and their related acceptance criteria within an agile/scrum setup
- Bring together efforts across different disciplines and stakeholders to keep delivery moving forward
- Confirm that project delivery follows customer processes and methodologies, relying on strong familiarity with various delivery models and an agile-oriented approach
- Put together a continuous delivery risk management strategy that supports proactive decision-making across the delivery lifecycle
- Track and boost delivery productivity as time goes on
- Support Data Engineers as a technical resource, helping guarantee their work is completed with quality and on time
- Manage production support and deployment duties
Requirements
- At least 3 years of experience in a comparable role
- Solid proficiency in core Python for data engineering work
- Capable in SQL for querying and handling data
- Practical experience with Apache Spark for large-scale data processing
- Familiarity with Anthropic Claude Code
- Experience leveraging Databricks for data engineering and analytics purposes
- Excellent English proficiency (B2 level or higher)
Nice to have
- Experience with Apache Kafka for streaming data events
- Familiarity with the Java language
- Practical experience with PySpark
- Exposure to Scala
- Experience with Spark Streaming
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
What you'll do
- Build and sustain the codebase behind ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
- Establish the infrastructure required to pull, convert, and load data efficiently from a range of sources using ADF, Spark, Kafka, or equivalent tools
- Detect, plan, and execute internal process enhancements, such as automating repetitive tasks, improving data delivery, and reshaping infrastructure for stronger scalability
- Create and roll out data services solutions using technologies including Spring Boot, ReactJS, NoSQL, and related UI and API tools
- Oversee governance of delivery management and production workflows in accordance with the chosen delivery model
What they require
- At least 3 years of experience in a comparable role
- Solid proficiency in core Python for data engineering work
- Capable in SQL for querying and handling data
- Practical experience with Apache Spark for large-scale data processing
- Familiarity with Anthropic Claude Code
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
Our Workforce Experience team helps clients realize digital and IT transformation by identifying and bridging gaps in employee knowledge, behaviors, and mindset. We design, develop, and implement a variety of solutions for online and in-person learning, including videos, articles, podcasts, interactive eLearning, coaching, experiential learning, instructor-led training, and assessments, using the latest insights from the learning sciences. In other words, we go beyond "training" to create learning experiences that really work.