Data Engineer

Who We Are:

 At adMarketplace, we are passionate about improving the search experience for consumers, publishers, and advertisers without sacrificing user privacy. We are the largest people-led, privacy-safe consumer search marketplace.  

Our mantra is to let our winners run. From your first day at AMP, you will have the opportunity to make a valuable contribution to the company. We’re excited about building and innovating new products. We embody our five core values (known as our 5C’s) with everything we do- Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. We believe in continuous professional growth, and offer all our employees career path mapping to ensure no one ever stops learning. 

 Growing Company. Small, Dynamic Teams. Real Impact.

The Role:

At adMarketplace, we create best of breed consumer search technology using cutting-edge architectures with millisecond response time and crunch through terabytes of data every day. The ideal candidate is motivated to design for massive scale and push the boundaries of using ingested data in automated decisions. Our team uses a modern tech stack including Kafka, Spark, Java/ Scala/ Python, Kubernetes, Docker, AWS, Azkaban/ Airflow and modern Data Warehouses.

What You Will Do:

• Develop and maintain ad-tech related data systems and system components using Python/Java/Scala and other software technologies
• ETL/ELT Pipelines
• Data-driven applications
• Clients integration automation components (Google, Amazon, LiveRamp)
• Work with team for technical implementation of Data Engineering projects
• Work closely with QA, DevOps, and other engineering teams to integrate, test and release different system components (all stages of SDLC)
• Work closely with business stakeholders and other engineers on understanding and translating business requirements into technical solutions

 Requirements:

• BS in Engineering, Computer Science or related discipline
• Must have 3+ years strong hands-on development experience using Python
• Experience developing, delivering and maintaining scalable data aggregation pipelines
• Experience with relational SQL and NoSQL databases
• Experience with AWS/ GCP/ Azure
• Experience working in a Linux environment/ Shell Scripting
• Experience with data pipeline and workflow management tools like Airflow, Luigi, Azkaban
• Ability to collaborate with multiple teams and understanding testing and deployment methodologies
• Good understanding of design patterns and effective use of data structures
• Experience building software in continuous integration and delivery fashion in an automated way
• Experience working in an agile software development team using Jira
• Excellent documentation, communication, and troubleshooting skills

Is a plus:

• Experience with big data and streaming technologies like Apache Kafka, Apache Spark and Data Warehouse (Redshift/ Snowflake/ BigQuery etc)
• Familiarity with Docker, CI/CD and Microservices
• Java/ Scala development experience
• Digital advertising industry experience

Join Us: 

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. 

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.   

 We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers a dog friendly office, Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.