Software Engineer

Responsibilities Collaborate with decision scientists to enable and optimize AI/ML workflows through data engineering and platform support. Provide support for Spark, Hive, and Hadoop jobs, including troubleshooting and performance analysis and optimization. Participate in agile sprint cycles, helping to review designs, provide feedback, and ensure successful delivery. Contribute to best practices for application development. Gather requirements for platform and application enhancements and work with the team to implement them. Continuously learn and expand your technical skills in data engineering and cloud technologies. Support the migration of existing data or applications to cloud platforms (AWS, Azure, Databricks or GCP). Learn and contribute to solutions on the Databricks platform, enabling data science and analytics at scale. Qualifications 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. Familiarity with Apache Spark and exposure to Hadoop, Hive, or related big data technologies. Experience with cloud platforms (AWS, Azure, Databricks or GCP) and an interest in cloud migration projects. Excited to learn and work with the Databricks platform. Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus). Strong problem‑solving skills with the ability to own problems end‑to‑end and deliver results. Consultative attitude – comfortable being first in, building relationships, communicating broadly, and tackling challenges head‑on. Collaborative teammate 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. At least 3 years of experience. Hadoop certification is a plus. Spark certification is a plus. Base Salary: $73,500 - $136,500 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 View email address on click.appcast.io 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. #J-18808-Ljbffr Publicis Groupe