Senior Data Engineer - Data Ops

Job Description:

At Pluralsight, we are an established team of data practitioners supporting our Pluralsight platform as well as decision makers across the company. We use data to improve outcomes for our colleagues, our leadership, our customers, and everyone in Pluralsight. 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, data warehouse performance, data migration, data infrastructure, and data architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to a data platform via the utilization of version control, testing, validation, 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 do:

• 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 platform, 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 bring:

• Experience building CI\CD pipelines that automate IaC and artifact deployment using tools such as Terraform and Github Actions

• Exposure to supporting AI and ML workflows and pipelines.

• 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

Requirements:

• 5+ years of taking a multidisciplinary approach to data operations: we emphasize picking the right tool for the job

• 5+ years of experience with cloud data technologies (Snowflake preferred) and data modeling standard methodologies.

• 3+ years of experience automating a data platform with scripting tools (i.e. Python (preferred) Powershell, Bash)

• 3+ years of experience with advanced orchestration tools (i.e. Airflow (preferred), Prefect, Dagster)

• 3+ years of experience with tools for ingesting data (i.e. Fivetran (preferred), Stitch, Airbyte, Portable.io) and reverse ETL tools (i.e. Census, Hightouch).

• 5+ years of experience developing, operating and maintaining data pipelines utilizing open source dbt core.

• 5+ years of experience working in a cloud environment (AWS preferred) including technologies such as IAM, Lambda, RDS, AppFlow, Glue, EC2, and S3 among others

• This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you’ll love working here:

• We’re a blended workplace, where team members work remotely or in a hybrid setup depending on their role and location

• We’re mission driven and guided by our culture pillars

• We have a strong commitment to diversity and belonging

• We cultivate a culture of trust, autonomy, and collaboration

• We’re lifelong learners and champion