Software Engineer

• 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., + 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.

Base Salary: $73,500.00 - $136,500.00 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., 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., 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.

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., 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.