Data Analytics Engineer
At Pluralsight, we are an established team of data practitioners supporting decision makers across the company. We use data to improve outcomes for our colleagues, our leadership, our customers, and everyone in the Pluralsight community. In addition, we are a team that values and encourages diverse ideas, backgrounds, and strengths.
In this role, you will need to use your knowledge of data pipeline orchestration, standard methodologies for data warehouse performance, data migration strategies, and analytics architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to analytics code via the utilization of version control, testing and validation processes, and continuous integration.
Who you’re committed to being:
Eager to dive in to data sources to understand availability, utility, and integrity of our data
Passionate about data, analytics and automation with experience cleaning and modeling large quantities of raw, diverse, and disorganized data
Creator of reproducible and extensible work
Appreciate being on a team that values and encourages diverse ideas, backgrounds, and strengths
Carefully consider the ethical and security implications of choices you make when using data, as well as the impact of your work on customers and colleagues
Respect and invite fair feedback while promoting the identification and open discussion of errors, risks, and unintended consequences
Deeply understand existing and new technology trends, and you work with partners to review and recommend innovative and efficient solutions
What you’ll own:
Building and maintaining production data pipelines for analytics across the business
Developing tooling and solutions for data practitioners across the company using a deep understanding of their objectives and problems
Improving observability and maintainability in our data environment, including uptime, usage, data quality, and data freshness
Committed to improving processes throughout the data environment via automation
Creating, implementing, and improving standards for production-worthy data flows
Create and maintain documentation on processes, policies, application configuration and help-related materials as applications are developed
Experience you’ll need:
5+ years of taking a multidisciplinary approach to data development: we emphasize picking the right tool for the job
5+ years of experience with cloud data warehousing technologies (Snowflake preferred) and data modeling standard methodologies.
3+ years of experience automating a data platform with scripting tools (e.g. Powershell, Bash, Python), preferably cross platform development
3+ years of experience with tools for ingesting data (e.g. Fivetran, Stitch, Python) and integrating data with other systems (e.g. Census, Hightouch)
5+ years of experience building data pipelines and integrating data with tools such as dbt, SQL, Python and Spark
Experience building CI\CD pipelines that automate IaC and artifact deployment using tools such as Terraform and Github Actions
Experience managing systems containing sophisticated dependency management and orchestration requirements
Effective communication skills with technical team members as well as business partners
Ability to tackle problems independently and prioritize work based on the anticipated business value
Be 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.