Senior Data Engineer (Remote, US)

Location : Remote, California | Team: Application Engineering

Role Type: Full-Time Employee (Individual)

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the understanding and management of experience for candidates, customers, employees, patients, citizens and residents.  

We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success. 

We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.

At Medallia, we hire the whole person.

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 celebrate diversity 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 is afforded to all qualified applicants and employees. We do not 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 protected category. 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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