Epsilon
Overview
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, performance analysis, and optimization.
Participate in agile sprint cycles, reviewing designs, providing feedback, and ensuring 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 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.
About You
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 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 who learns 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: $62,250 – $103,750
Actual compensation within the range will be dependent upon, but not limited to, the individual’s skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
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 LeaveofAbsence@epsilon.com to request an accommodation.
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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, performance analysis, and optimization.
Participate in agile sprint cycles, reviewing designs, providing feedback, and ensuring 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 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.
About You
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 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 who learns 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: $62,250 – $103,750
Actual compensation within the range will be dependent upon, but not limited to, the individual’s skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
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 LeaveofAbsence@epsilon.com to request an accommodation.
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