Senior Software Engineer

Overview

We are seeking a qualified Senior Software Engineer to join Epsilon’s Development Team in our Data Practice. In this role you will focus on project tasks for Epsilon's Total Source 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 project work but also on efficiency, compliance, standards, situational awareness, and readiness.

You will join a fast‑moving, innovative team where you’ll work independently in some situations as well as collaborate with the broader team on tasks that require full collaboration.

• 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 cloud services (2+ years preferred) 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.
• Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best practices and standards.

• 5+ 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.
• BA/BS in Computer Science or related discipline.
• At least 5 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.

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

Compensation Range: USD $88,900.00 – USD $/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…