Software Engineer

Overview For this role, we are seeking a qualified Software Engineer to join Epsilon’s Development Team in our Data Practice. In this role with our company, you will be focused on project tasks for Epsilon's TotalSource Plus (TSP) demographic and lifestyle products. As a member of the Epsilon Data Team, you will work in a group that is not only focused on their project work but also their efficiency, compliance, standards, situational awareness, and readiness. You’ll be a critical part of a fast-moving, innovative team where you’ll work independently in some situations as well as working with a greater team in tasks that require full collaboration. Responsibilities Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark on Databricks. Optimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments. Design and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging. Leverage AWS/DBX cloud services to build and manage data pipelines and distributed processing workloads. Develop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse). Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance. Use Git (or equivalent) for source control and maintain strong unit and integration testing practices. Collaborate with Product Owners, partners, and cross-functional teams to translate business requirements into technical solutions. Demonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making. Qualifications About you: 1-3 years of software development experience in a scalable, distributed, or multi-node environment. Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale, with Databricks preferred. Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies. Demonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects. Exposure to modern data tools and frameworks such as Kubernetes, Docker, and MWAA/Airflow. Strong problem-solving skills with the ability to own problems end-to-end and deliver results. Consultative mindset — comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on. Collaborative team player with an eagerness to learn from peers and mentors while contributing to a culture of growth. Motivated to grow your career within a dynamic, innovative company. What you’ll bring: BA/BS in Computer Science or related discipline. 1-3 years of experience as a big data software developer. Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines. Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred. AWS, Databricks, or Spark certification a plus. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Additional Information When You Join Us, We’ll Create Something EPIC Together Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. 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 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. 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 [email protected] 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. #LI-AM1 Compensation Range: USD $73,500.00 - USD $136,500.00/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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 7/24/2026.

About you: 1-3 years of software development experience in a scalable, distributed, or multi-node environment. Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale, with Databricks preferred. Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies. Demonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects. Exposure to modern data tools and frameworks such as Kubernetes, Docker, and MWAA/Airflow. Strong problem-solving skills with the ability to own problems end-to-end and deliver results. Consultative mindset — comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on. Collaborative team player with an eagerness to learn from peers and mentors while contributing to a culture of growth. Motivated to grow your career within a dynamic, innovative company. What you’ll bring: BA/BS in Computer Science or related discipline. 1-3 years of experience as a big data software developer. Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines. Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred. AWS, Databricks, or Spark certification a plus. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark on Databricks. Optimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments. Design and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging. Leverage AWS/DBX cloud services to build and manage data pipelines and distributed processing workloads. Develop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse). Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance. Use Git (or equivalent) for source control and maintain strong unit and integration testing practices. Collaborate with Product Owners, partners, and cross-functional teams to translate business requirements into technical solutions. Demonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making.