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Software Engineer

$73.5k - $136.5k

Prodigious Worldwide

Software Engineer

Overview

What you'll do:

  • 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.

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 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.

Additional Information

When You Join Us, We'll Create Something EPIC Together Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision, 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

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 the following:

  • 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

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 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.

Compensation Range: USD $73,500.00 - USD $136,500.00/NA. 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.

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