Senior Software Engineer

Overview The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative problem solvers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry’s standards, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story. Responsibilities Why are we looking for you? At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for skilled individuals who always set a higher standard by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. So, are you someone who wants to work with innovative‑edge technology and enable marketers to create data‑driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, dedicated team that’s not afraid to push boundaries or take risks. What will you enjoy in this role? As a Senior Software Engineer in the Cleanroom team, you will be driving delivery, and execution for critical data systems. You will define engineering standards, implement the best practices, mentor junior engineers, and ensure the Cleanroom 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, 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 partners 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, Glue, Athena and Lambda for building scalable and reliable cloud‑native data platforms. Experience with messaging technologies such as Kafka and RabbitMQ, 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. 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. Base Salary: $102,200.00 - $189,800.00 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. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #J-18808-Ljbffr