Principal Data Engineer

United States - Remote

Applications have closed

Perceptyx

Connect the dots between the employee experience and business outcomes. Discover the best fully customizable surveys and visualization tools.

View company page

*** We welcome all USA-based talent to apply. This job is 100% remote ***

The chosen Principal Data Engineer will report to the Director of Data Science in the Analytics sector and act as the data engineering lead on the Data Platform team. You will also work closely with engineers and business stakeholders to run the design and development of technical solutions.

Fun Fact: The Data Platform Team is central to the future of Perceptyx. This team gets the opportunity to be hands-on 🙌 with greenfield projects and is respected for their ability to masterfully build out Perceptyx's core data platform for next-generation capabilities. We look forward to speaking with you soon, thanks for applying. 😊

Areas Of Impact:

  • Data architecture and modeling
  • Data engineering pipeline
  • Systems administration
  • Software architecture and development
  • Cloud infrastructure

What You Will Do:

  • Lead hands-on development of data engineering solutions
  • Data architectural design
  • System administration of data infrastructure
  • Data pipeline automation and optimization
  • Translating business objectives and product vision into technical solutions
  • Collaboration and communication with internal/external stakeholders

Additional Activities Include:

  • Participate in technical discussions
  • Conduct code reviews
  • Produce solution documentation
  • Gather stakeholder requirements
  • Define and implement best practices
  • Understand business objectives, processes, and products
  • Deliver technical solutions for those objectives

Requirements

Ideally have 7+ years in a combination of the following things:

  • Data architecture and data modeling
  • ETL Pipelines and data migration
  • SQL (MySQL Server) scripting
  • Cloud infrastructure
  • Software development (Python)
  • Systems development and administration
  • Gathering and defining requirements
  • Collaborating with internal/external stakeholders

Bonus points for experience in or familiarity with:

  • Snowflake data lakes and warehousing
  • Microservice design patterns
  • DevOps knowledge (we have a DevOps team, so it will be helpful if you understand their world)
  • Data transformation (DBT pipelines)

Benefits

What We Offer:

  • Excellent Medical, Dental, and Vision benefits for you and your family.
  • The ability to challenge the limits in a scaling, collaborative work environment.
  • Flexible workday schedules (we trust you to get the job done wherever you're comfortable)

Perceptyx Equal Employment Opportunity Policy:

We celebrate diversity and an inclusive environment. Perceptyx is committed to providing an environment of mutual respect where equal employment opportunities to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Perceptyx’s policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. Perceptyx is proud to be an equal opportunity employer.

Interested in interviewing? Please apply by responding with your updated resume.

Tags: Architecture DevOps Engineering ETL MySQL Pipelines Python Snowflake SQL

Perks/benefits: Health care

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  1  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.