SDE III - ETL Data Engineer

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.

Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.

💚At Groupon, we believe local experiences are the heart of a vibrant life — and we're building the data platforms to power them.

We’re a global team with a startup spirit and a marketplace legacy. Groupon helps people discover the best a city has to offer — from local businesses and live events to unique travel experiences. Behind it all, our Data Engineering team ensures we harness data to drive smart decisions, scalable platforms, and meaningful customer impact.

We’re looking for a senior-level Data Engineer with a passion for building powerful data solutions, who thrives in a collaborative, fast-moving environment and is eager to tackle challenges at scale.

❓Why This Role?

As a Data Engineer at Groupon, you'll be part of a globally distributed team of 13 engineers powering data infrastructure that spans petabytes, hundreds of pipelines, and cloud platforms like AWS and GCP. You’ll work closely with product managers, analysts, machine learning engineers, and fellow data experts to build the systems that keep our marketplace fast, reliable, and smart.

You’ll have the chance to:

• Own core data ingestion and transformation pipelines across streaming and batch systems

• Work on both greenfield projects and robust production systems

• Dive into technologies like Spark, Kafka, Airflow, Delta Lake, Teradata, BigQuery, and Hive

• Solve real business problems for marketing, finance, supply chain, and more

• Be part of a flexible, supportive, and growth-oriented engineering culture

📋What You’ll Do

• Design, develop, and maintain high-performance, high-volume ETL pipelines (batch and streaming)

• Build and optimize cloud-based data platforms on AWS and GCP

• Partner with cross-functional teams to define requirements and implement scalable solutions

• Mentor junior engineers and contribute to a collaborative, inclusive team culture

• Own data quality, lineage, monitoring, and production support for critical pipelines

• Participate in on-call rotations and agile delivery cycles

🔎What We’re Looking For

Must-Haves:

• BS/MS in Computer Science or related field

• 5+ years in data engineering, distributed systems, or backend development

• Strong coding skills in Python, Java, or Scala

• Deep SQL knowledge and experience with both relational and NoSQL databases

• Proven expertise in big data frameworks like Spark, Hive, Kafka, and Airflow

• Experience building and supporting production-grade data platforms

• Strong communication skills and ability to thrive in a globally distributed team

• Experience with cloud data technologies (AWS or GCP, especially for large-scale processing)

• Ownership mindset and ability to operate independently with minimal supervision

Nice-to-Haves:

• Familiarity with HBase, Redis, CDC (Change Data Capture) tools

• Experience with Google Data Streams, Dataproc, Delta Lake, or Apache Hudi

• Background in monitoring tools like Elasticsearch and Wavefront

• Experience in a dynamic, multi-time-zone engineering environment

How You’ll Grow

In your first 30 days, you’ll:

• Learn our systems and tech stack

• Get support from a mentor and start contributing to small tasks

In your first 90 days, you’ll:

• Own and deliver key initiatives

• Join our on-call rotation and collaborate across teams

• Be considered for specific data streams aligned with your strengths (e.g., marketing, finance, real-time)

🗺️ From there, your path can grow into stream leadership, technical mentorship, or even engineering management, depending on your goals.

Grouponis an AI-First Company
We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here.

Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.

Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers