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About the job

Company Description See how Epsilon powers connected marketing by unlocking the full potential of data and identity. Overview At Epsilon, we do more than collect and store data. We help some of the world’s biggest brands discover real opportunities inside the data types, delimiters and decimals. We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and brings deep expertise in Databricks, AWS cloud services, and modern data integration. You will design and operate high-performance, cloud-native data pipelines and analytics systems that power mission-critical workloads across our Ad Stack and external data ecosystems. If you are energized by distributed systems, platform thinking, automation, and building reliable data products in a fast-moving environment, this is an opportunity to make meaningful technical impact. Join a team where you’re empowered to unleash your full potential by working with the most cutting-edge concepts in Ad-Tech. Responsibilities Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing. Build Scalable Data Products: Design, build, and optimize cloud-native data pipelines using Databricks, Spark, SQL, and Python to support large-scale ingestion, transformation, and delivery of high-value data across the platform. Own Platform Reliability and Scale: Advance our cloud data platform with AWS services and strong engineering field, improving scalability, observability, resilience, cost efficiency, and operational excellence. Lead with Technical Depth: Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to solve complex engineering problems and influence architecture decisions. Partner Across Functions: Collaborate with cloud architects, integration engineers, analysts, and product partners to deliver data solutions that are scalable, maintainable, and aligned to business outcomes. Drive Continuous Improvement: Continuously improve on data engineering standards, developer productivity, automation, and platform capabilities by bringing forward modern tools, patterns, and guidelines. Influencing technical decisions and contributing to our evolving platform. Communication: Clearly articulate technical concepts and solutions to internal teams and partners, fostering a collaborative environment. Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing. Qualifications What you’ll bring with you: BA/BS in Computer Science or related field. 6-8 years of experience in data engineering, cloud data platform engineering, or large-scale data systems. Strong track record of delivering production-grade solutions using Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks. Proficiency in working with Databricks, Spark, SQL, and Python from previous professional positions. Hands-on experience with AWS cloud services, Linux, workflow orchestration, and modern data pipeline development in cloud-native environments. Deep understanding of distributed systems, cloud data architecture, data warehousing, and integration patterns. Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise-scale data platforms is highly valued. Strong communication, problem solving, and ownership approach, with the ability to work effectively across teams and contribute in a high-performance engineering environment. Why you might stand out from other talent: Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus). Familiarity with the internet/digital advertising ecosystem is a plus. Additional Information When you join Epsilon, we’ll create something EPIC together. We’re a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees. Check out a few of these resources to learn more about what makes Epsilon so EPIC: Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog Epsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work: Act with integrity. We are transparent and have the courage to do the right thing. Work together to win together. We believe collaboration is the catalyst that unlocks our full potential. Innovate with purpose. We shape the market with big ideas that drive big outcomes. Respect all voices. We embrace differences and foster a culture of connection and belonging. Empower with accountability. We trust each other to own and deliver on common goals. Because You Matter As 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: Time to recharge: Flexible time off (FTO), 14 paid holidays, 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. 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 who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment 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. #LI-AM1 Compensation Range: USD $88,900.00 - USD $165,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/6/2026.

Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing. Build Scalable Data Products: Design, build, and optimize cloud-native data pipelines using Databricks, Spark, SQL, and Python to support large-scale ingestion, transformation, and delivery of high-value data across the platform. Own Platform Reliability and Scale: Advance our cloud data platform with AWS services and strong engineering field, improving scalability, observability, resilience, cost efficiency, and operational excellence. Lead with Technical Depth: Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to solve complex engineering problems and influence architecture decisions. Partner Across Functions: Collaborate with cloud architects, integration engineers, analysts, and product partners to deliver data solutions that are scalable, maintainable, and aligned to business outcomes. Drive Continuous Improvement: Continuously improve on data engineering standards, developer productivity, automation, and platform capabilities by bringing forward modern tools, patterns, and guidelines. Influencing technical decisions and contributing to our evolving platform. Communication: Clearly articulate technical concepts and solutions to internal teams and partners, fostering a collaborative environment. Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing.

What you’ll bring with you: BA/BS in Computer Science or related field. 6-8 years of experience in data engineering, cloud data platform engineering, or large-scale data systems. Strong track record of delivering production-grade solutions using Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks. Proficiency in working with Databricks, Spark, SQL, and Python from previous professional positions. Hands-on experience with AWS cloud services, Linux, workflow orchestration, and modern data pipeline development in cloud-native environments. Deep understanding of distributed systems, cloud data architecture, data warehousing, and integration patterns. Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise-scale data platforms is highly valued. Strong communication, problem solving, and ownership approach, with the ability to work effectively across teams and contribute in a high-performance engineering environment. Why you might stand out from other talent: Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus). Familiarity with the internet/digital advertising ecosystem is a plus.