Senior Data Engineer

Medallia’s mission is to help companies win through customer experience. The world’s best-loved brands trust Medallia’s Experience Cloud™, which embeds the pulse of the customer in an organization and empowers employees with the real-time customer data, insights, and tools they need to make every experience great. Named a leader in the most recent Forrester Wave and ranked in the 2018 Forbes Cloud 100 list, Medallia is growing quickly, with a global footprint that spans Silicon Valley, Austin, New York, Washington DC, London, Paris, Sydney, Buenos Aires, Tel Aviv, and Prague. Here, we value people for each of the aspects that make them whole. We believe that people should not be defined only by a job title—nobody is "just an engineer" or "just a salesperson." We are each partners, parents, children, siblings, friends, and former classmates. We have different backgrounds and we celebrate different cultures. And, just like our product, we honor each of the experiences that build our people.
At Medallia we hire the whole person, not just a part of them.
As a Senior Data Engineer you will help us shape our data infrastructure. You will be a key individual to drive the evolution of our architecture to handle more data, more types of data, more client data delivery mechanisms and support more internal users. You will be working in all aspects from researching technologies to coding to debugging production systems. Our data pipeline processes 1.6+ TB sensor data/day and is built using Spark, AWS, Python, Airflow. Below is a list of the major initiatives that you will be helping with.
Analyze and integrate new data sources such as receipt data, POS data, product review dataEnhance our survey pipeline from batch to near real-timeWork closely with our data science team to build and deploy model training platformsCreate new products to drive value for our enterprise clients. Scale and optimize our analytics database cluster
What do we look for? Engineers who thrive at Sense360 have a few key traits:Able to take ownership of a problem, propose solutions and drive them to successful completionDriven to be the best version of themselves on a daily basisCare about their work, their team and their companyExpect their ideas to be challenged because they believe that the best ideas can come from anywhereView feedback as a gift that they give and receivePositive and interesting

Qualifications you will need....

• 5+ years experience with a distributed data processing technology (e.g. Spark, Storm, Presto, Samza, Flink, etc);
• Familiarity with the issues associated with processing large data sets across distributed systems.
• 5+ years of experience in Python or Scala
• Able to write production ready code using CS, data and testing best practices

Bonus Points....

• AWS components like S3, Lambda, Athena, Glue, Redshift, RDS, etc
• AirflowDockerKubernetes

At Medallia, we don’t just accept difference—we celebrate it and recognize the value it brings to our customers and employees. Medallia is proud to be an equal opportunity workplace and is an affirmative action employer. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won't unlawfully discriminate on the basis of gender identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, Veteran status, sexual orientation, and any other category protected by law. We also consider all qualified applicants regardless of criminal histories, consistent with legal requirements.
Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws.
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