Senior Big Data Engineer

Data Processing Solutions Developer

Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark. 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 to build and manage data pipelines and distributed processing workloads. Develop and optimize SQL queries across relational and data warehouse systems. Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance. Use Git for source control and maintain strong unit and integration testing practices. Collaborate with Product Owners, partners, and multi-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. Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies. Demonstrated experience with cloud platforms and an interest in cloud migration projects. Eager to deepen your expertise with the Databricks platform. Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow. Strong problem-solving skills with the ability to own problems end-to-end and deliver results. Consultative mentality — comfortable taking initiative, 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.

BA/BS in Computer Science or related field. 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. Proficiency with the ELK stack for real-time search, log analysis, and visualization, preferred. AWS, Databricks, or Spark certification a plus.

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 who need accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation.

Compensation Range: USD $88,900.00 - USD $165,100.00/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.