Software Engineer

We are seeking a qualified Software Engineer to join Epsilon’s Development Team in our Data Practice, focusing 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 emphasizes efficiency, compliance, standards, situational awareness, and readiness. You’ll be a critical part of a fast-moving, innovative team, working independently in some situations and collaborating with a broader team on tasks that require full cooperation.

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.

Requirements

• 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.

Qualifications

• 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.

Benefits

• 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.

Pay

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.