Company Description

Accolade at a glance…Accolade provides personalized health and benefits solutions designed to empower every person to live their healthiest life. Using a blend of cloud-based technologies, specialized support from Accolade Health Assistants® and Clinicians, and integrated data and programs across mobile, online and phone, Accolade navigates people through the healthcare system with trust, empathy and ease. Employers of all sizes offer Accolade to employees and their families as the single place to turn for all health, healthcare, and benefits questions or concerns, increasing their engagement in benefits and connecting them to the highest quality providers and care. By empowering people to make better decisions about their health, Accolade lowers the cost and complexity of healthcare, and achieves consumer satisfaction ratings over 90% and an NPS of 60. The company has been recognized multiple times as a Fastest Growing Business, Top Workplace and Company to Watch. For more information, visit Accolade on Twitter, Facebook, LinkedIn and at www.accolade.com.

Job Description

The Data Engineer II is responsible for building and supporting our next generation of ETLT, big data, and machine learning based anomaly detection tools. As a developer on our data ingestion team you will be creating and enhancing products that provide Accolade teams and customers a way to quickly and conveniently on-board customer data into the Accolade Cloud Platform in a secure and scalable way with high data quality.

A day in the life…

• Work with a small agile team to design and develop ETLT, Big Data, and machine learning implementations.
• Develop tools that allow teams to configure high performance, highly scalable ETLT pipelines using Apache Spark, Python, and AWS EMR.
• Use machine learning to implement near real time anomaly detection against data as it flow through our platform.
• Develop Java and Node based micro-services and lambdas as part of the Accolade Cloud Platform.
• Contribute to engineering best practices and help shape the future of our big data and platform technologies.
• Support internal customers of our ETLT and customer configuration tooling including researching and validating detected anomalies, failed pipelines, and monitor alarms.
• Work with our internal users and product team to gather requirements and feedback.

Qualifications

What we are looking for…

• Minimum of 2 years of experience designing and building Big Data and ETLT products using cloud native solutions.
  • You are proficient in one of: Python, Apache Spark, and SQL.
• Some production experience with cloud native Big Data or ETL.
  • Experience with AWS and AWS EMR is a plus.
• Bonus experience with: Java, Machine Learning, Anomaly Detection, AWS: Lambda, S3, SQS, SNS, DynamoDB.
• Desire and willingness to work in an Agile, collaborative, innovative, flexible, and team-oriented environment.
• Strong written and oral communication skills.

Additional Information

What is important to us
Creating an enduring company that is hyper-focused on our culture and making a meaningful impact in the lives of our employees, members and customers. The secret to our success is:
We find joy and purpose in serving others
Making a difference in our members’ and customers’ lives is what we do. Even when it’s hard, we do the right thing for the right reasons.
We are strong individually and together, we’re powerful
Trusting in our colleagues and embracing their different backgrounds and experiences enable us to solve tough problems in creative ways, having fun along the way.
We roll up our sleeves and get stuff done
Results motivate us. And we aren't afraid of the hard work or tough decisions needed to get us there.
We’re boldly and relentlessly reinventing healthcare
We're curious and act big -- not afraid to knock down barriers or take calculated risks to change the world, one person at a time.

All your information will be kept confidential according to EEO guidelines.