Big Data Engineer

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.

Qualifications: B.S. in Computer Science, Computer Engineering, or a similarly related field. 1-3 years of software development experience?in a scalable, distributed, or multi-node environment. Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines. Passionate about DATA – understanding data ingestion, ETL processes, and data shift/trend analysis. Proficient in programming with Python, PySpark, SQL, or C++ and is comfortable building?data-driven solutions at scale. Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, 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? Databricks 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 Why you might stand out from other talent: Experience with all three of Hadoop, Spark, and Scala is a plus. Experience with both Docker and Kubernetes is a plus. AWS, Databricks, or Spark certifications are preferred. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations is a plus. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees. Check out a few of these resources to learn more about what makes Epsilon so EPIC:Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilonLife at Epsilon: https://www.epsilon.com/us/about-us/epic-blogEpsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work: Act with integrity. We are transparent and have the courage to do the right thing. Work together to win together. We believe collaboration is the catalyst that unlocks our full potential. Innovate with purpose. We shape the market with big ideas that drive big outcomes. Respect all voices. We embrace differences and foster a culture of connection and belonging. Empower with accountability. We trust each other to own and deliver on common goals. 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: Time to recharge: Flexible time off (FTO), 14 paid holidays, 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. 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 LeaveofAbsence@epsilon.com to request an accommodation.

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.