Software Engineer

Overview

About Business Unit:

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon’s success story.

A bit about who we are looking for:

At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. At the heart of everything we do is data and this team. Our premium data assets empower the team to drive desirable outcomes for leading brands across industries. Armed with high volumes of transactional data, digital expertise and unmatched data quality, the team plays a key role in improving all our product offerings. Our data artisans are keen on embracing the latest in technology and trends, so there’s always room to grow and something new to learn here.

Apply today and be part of a creative, innovative, and skilled team that’s not afraid to push boundaries or take risks.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

What you will do

• Own the end-to-end lifecycle of automated quality checks from design through deployment, monitoring, and iteration.
• Translate business requirements into technical data quality rules
• Full stack development for Data lake / Delta lake’s Data Quality & Data Observability
• Perform data profiling and auditing to identify anomalies, trends, and data quality risks.
• Intuitive Data Quality Scoring – Users can build custom business rules for their data using using human language. Capture a snapshot or analyze the trends in data quality e.g. Completeness, Uniqueness, Timeliness, Accuracy, and Consistency
• Timely Warnings and Issue Reporting – Users receives automatic notifications of data quality issues based on their data standards, along with insights on root cause and remediation approaches
• Collaborative Remediation – Teams have the ability to work together to remediate data issues and validate data prior to using it.
• Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones.
• Good understanding of Agile Methodologies – SCRUM.

Qualifications

• Bachelor’s Degree in Computer Science or equivalent degree is required
• 3-5 years in data engineering, data quality engineering, analytics engineering, or a related field
• Strong programming skills in Python, Angular JS and experience building data pipelines
• Hands on experience in Pyspark
• Experience implementing automated data quality checks, testing, or monitoring frameworks
• Familiarity with data quality dimensions and how to operationalize them in code
• Comfort working with cloud data platforms, APIs, and governance/quality tooling
• Ability to translate written rules and standards into executable logic
• Exposure to AI/ML-assisted classification and human-in-the-loop systems a plus
• Strong communication skills and a collaborative, enablement-oriented mentality

• Participate in code reviews providing constructive feedback and accepting feedback on own code.
• Ability to diagnose and troubleshoot problems quickly

Good to have :

• Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues.
• Metadata, lineage, and governance platforms.

Additional Information

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 and 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.

Epsilon is an Equal Opportunity Employer.  Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.