Address
Form of workJob Description
About Us
Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here too. We've been recognized as a "Best Company to Work For" and we're proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world.
What You'll Do
As a Senior Data Engineer on the data platform team, we'll rely on your expertise across multiple disciplines to develop, deploy and support data systems, data pipelines, data lakes, and lakehouses. Your ability to automate, performance tune, and scale the data platform will be key to your success.
Your initial areas of focus will include:
- Collaborate with stakeholders to make effective use of core data assets
- With Spark and Pyspark libraries, load both streaming and batched data
- Engineer lakehouse models to support defined data patterns and use cases
- Leverage a combination of tools, engines, libraries, and code to build scalable data pipelines
- Work within an IT managed AWS account and VPC to stand up and maintain data platform development, staging, and production environments
- Documentation of data pipelines, cloud infrastructure, and standard operating procedures
- Express data platform cloud infrastructure, services, and configuration as code
- Automate load, scaling, and performance testing of data platform pipelines and infrastructure
- Monitor, operate, and optimize data pipelines and distributed applications
- Help ensure appropriate data privacy and security
- Automate continuous upgrades and testing of data platform infrastructure and services
- Build data pipeline unit, integration, quality, and performance tests
- Participate in peer code reviews, code approvals, and pull requests
- Identify, recommend, and implement opportunities for improvement in efficiency, resilience, scale, security, and performance
What You Need to Get the Job Done (if you don't have all, apply anyway!)
- Experience developing, scaling, and tuning data pipelines in Spark with PySpark
- Understanding of data lake, lakehouse, and data warehouse systems, and related technologies
- Knowledge and understanding of data formats, data patterns, models, and methodologies
- Experience storing data objects in hadoop or hadoop like environments such as S3
- Demonstrated ability to deploy, configure, secure, performance tune, and scale EMR and Spark
- Experience working with streaming technologies such as Kafka and Kinesis
- Experience with the administration, configuration, performance tuning, and security of database engines like Snowflake, Databricks, Redshift, Vertica, or Greenplum
- Ability to work with cloud infrastructure including resource scaling, S3, RDS, IAM, security groups, AMIs, cloudwatch, cloudtrail, and secrets manager
- Understanding of security around cloud infrastructure and data systems
- Git-based team coding workflows
Bonus Skills (Not Required, So Apply Anyway!)
- Experience deploying and implementing lakehouse technologies such as Hudi, Iceberg, and Delta
- Experience with Flink, Presto, Dremio, Databricks, or Kubernetes
- Experience with expressing infrastructure as code leveraging tools like Terraform
- Experience and understanding of a zero trust security framework
- Experience developing CI/CD pipelines for automated testing and code deployment
- Experience with QA and test automation
- Exposure to visualization tools like Tableau
Beyond the technical skills, we're looking for individuals who are:
- Clear communicators with team members and stakeholders
- Analytical and perceptive of patterns
- Creative in coding
- Detail-oriented and persistent
- Productive in a dynamic setting
If you love to learn, you'll be in good company. You'll likely have a Bachelor's degree in computer science, information systems, or equivalent working experience.
Schedule
- 9AM-5PM MST, Monday-Friday
Work Environment
- Remote
What You'll Love About Us
- Great Company Culture. We've been recognized by multiple organizations like Inc, Salt Lake Tribune, Glassdoor, & Comparably for our great workplace culture
- Make an Impact. We care about your individuality by giving you freedom to grow and create within the company, regardless of your position
- Rest and Relaxation. 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this)!
- Health Benefits. Medical with HSA and FSA options, dental, and vision
- Prepare for the Future. 401(k) with a generous company match, access to a personal financial planner, and both legal and life insurance
- Financial Peace University. We pay for a one year subscription and you walk away with financial savvy and a bonus
- Give back. Get paid to give your time to the community: ask us about this!
- Educational Benefits. Whether you are a previous student, or currently enrolled in higher education, we can help cover some of those expenses
- Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location
An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
For information on our Privacy Policy, click here.
