Job DescriptionAs a Senior Software Engineer in the CDP team, you will be driving delivery, and execution for critically important data systems. You will define engineering standards, implement the protocols, mentor junior engineers, and ensure the CDP platform scales securely and reliably to support sustained business growth.
What will you do?- Deliver large-scale cloud-native data platforms primarily on AWS using Databricks and distributed processing frameworks to build highly scalable and resilient systems.
- Work hands-on across the technology stack - including Python, Java PySpark, Apache Spark, Databricks, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
- Partner closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives.
- Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
- Design and develop reusable, maintainable and scalable components and actively participate in the architecture discussions, technical design reviews, code reviews.
- Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.
Qualifications- B.E/B.Tech/M.Tech/MCA in Computer Science, Information Technology or a related field.
- 5-8 years of strong software engineering experience, with significant expertise in large-scale data engineering and distributed systems architecture.
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Deep hands-on expertise in Databricks, Python, PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Strong experience with AWS services such as S3, and Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data.
- Experience with messaging technologies such as Kafka, along with strong expertise in relational and NoSQL databases including SQL Server and MongoDB.
- Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, and automated deployment pipelines. Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
Nice to have- AWS and Databricks certifications.
- Experience working with Azure and/or Google Cloud Platform (GCP).
- Exposure to Generative AI technologies including LLMs, RAG architectures, and Agentic AI systems, with experience designing and deploying AI-driven solutions.
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Base Salary: $88,900.00 - $165,100.00 Annually
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
The application deadline for this job posting is 07/13/2026.
Additional InformationBecause You MatterAs an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
- Time to Recharge: Flexible time off (FTO), 15 paid holidays
- Time to Recover: Paid sick time
- Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
- Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
Epsilon benefits are subject to eligibility requirements and other terms.