Lead Data Engineer

Shopkick: The smarter way to shop.

Millions of shopping trips start with Shopkick every month. Shopkick is a leading shopping and rewards platform in the US, helping everyday shoppers make smarter shopping decisions and to earn cashback rewards from your favorite brands and your local retail stores.

If you are passionate about building new products that help people in their everyday lives and growing our business, come and join our growing Shopkick team!

Shopkick is on a mission to bring delight and reward to the consumer shopping experience. As part of the Trax Retail family, we are a pre-IPO unicorn looking to accelerate our growth trajectory as we partner with major brands and retailers, ranging from H&M and Unilever to Best Buy and Purina, to transform the way people engage with stores and products, both online and in the physical world.

Shopkick is looking for a hands-on Data Engineering Manager who can bring their ideas, vision, and experience to build and manage our Data Engineering team. The ideal candidate has been a key contributor to building big data pipelines (Kafka, Streamsets, Spark, Airflow, DataFlow, DataFusion, etc)

on GCP (BigQuery). This year, you’ll take ownership of our robust data platform, develop a long-term data infrastructure strategy, implement key improvements, and then build a world-class data engineering team.

Essential duties and responsibilities may include, but are not limited to:

• ● Own the strategy, implementation and management of our data infrastructure.
• ● Build streaming and batch ETL pipelines to extract, transform, and load data from various sources.
• ● Create tools and automation to support our data analysts.
• ● Design a framework for ensuring data quality and governance.
• ● Help troubleshoot complex data issues and recommend solutions.
• ● Build and manage a strong data engineering team focused on delivering results and engineering
• excellence across the engineering lifecycle - design, build, test, release, and operate, i.e., a full
• ownership model.
• ● Communicate directions and decisions effectively with the team and stakeholders.
• ● Build alignment with engineering, analytics, and product leadership.
• ● Foster cross team communication ensuring data engineers work closely with the broader engineering
• team.
• Qualifications:
• ● 2+ years of engineering leadership experience in at least a Sr, Lead, or Principal role.
• ● 5+ years of experience creating streaming and batch ETL systems
• ● Strong ability to write efficient SQL queries
• ● Strong coding ability in an object oriented language (Java, C#, C++, Python, etc.)
• ● Expertise with Google BigQuery, AWS Redshift, or AWS Athena
• ● Experience with message distribution systems like Kafka or Pub/Sub
• ● Familiarity with streaming ETL systems like StreamSets, Spark, DataFlow
• ● Excellent team player with strong communication skills (verbal and written)
• ● Enthusiastic about collaborative problem solving
• ● Eagerness to solve challenging problems and a love of learning and trying new things
• ● BS in Computer Science or related field or equivalent experience