Job Description:

Working at Pluralsight

Founded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to create progress for the world.

Our platform helps technologists master their craft and take control of their careers. We empower businesses everywhere to build adaptable teams, speed up release cycles and become scalable, reliable and secure. We come to work every day knowing we’re helping our customers build the skills that power innovation.

And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one.

The Opportunity

Our Data Engineering team, within our Data Services Organization, builds and maintains the infrastructure essential to delivering high-volume, business critical data to the organization to enable data-driven decisions.

We are focused on expanding our curated and modeled data that unify sources of truth across our multiple products and domains. You’ll have the opportunity to learn new tools and contribute to how we interface with data with modern distributed data tools like Snowflake, Spark, Kafka, and dbt.

This is an ideal opportunity for someone that wants to contribute to our growing data platform and warehouse by writing and implementing production data pipelines. You will get your hands dirty with lots of data and make a large impact with delivering datasets and tools to stakeholders.

Who you are:
● A minimum of 6+ Years of IT Experience with Education/Degree in computer science, engineering, data science or similar fields
● Experience with DBT Cloud
● Experience in SQL development (We use Snowflake and Postgres)
● Experience with Data Modelling
● Knowledge of software development lifecycle and source control (github, gitlab, TeamCity, etc.)
● Solid understanding of ETL pipeline development and orchestration (airflow, python, Fivetran, Stitch, etc.) and how to deploy them
● Some knowledge of cloud services such as AWS DynamoDB, Glue, Lambda, Step Functions, S3, CloudFormation

What you’ll own:
● Contribution to ETL and pipeline development
● Improving tooling for the data engineering team
● Support and evolution of data environment to deliver high-quality data, speed, and availability
● Curation of source-system data to deliver trusted data sets
Experience you’ll need:
● Capability to manipulate, understand, and analyze complex, high-volume data
● Understanding of how and why data pipelines are built
● Some experience in data modeling for batch processing and streaming data feeds; working with structured and unstructured data

Our Perks & Benefits Include

● Competitive salary and meaningful benefits
● Comprehensive medical & dental coverage for you and your family
● Open vacation policy
● Stay active with our wellness program that allows you to expense your gym membership and other sports activities
● Tuition reimbursement.
 

Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.