About Procare

Our mission is to simplify childcare operations and create meaningful connections by providing technology, expertise, and unparalleled service.

Procare Solutions is the #1 name in childcare software – used by more than 35,000 childcare businesses across the country. For over 30 years, childcare professionals have looked to Procare to provide real-time information for making critical decisions, maintaining compliance with local and state regulations, and adhering to business best practices.

We make childcare management run smoothly, so that our customers can spend more time focusing on the kiddos, not back office administrative duties.

A little about the role…

As a member of the data platforms team, you will be the key technical expert developing and overseeing Procare’s data platform build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines from various source systems, rest data on the data lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. You will work closely with product owners, data analysts, and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

What You Will Do

• Active contributor to code development in projects and services
• Manage and scale data pipelines from internal and external data sources to support Procare’s business.
• Work with internal customers such as Sales, Marketing, Customer Success and Finance to translate requirements into technical specification documentation.
• Support the resolution of business-impacting issues affecting production systems
• Clearly and regularly communicate with technical colleagues and management.
• Ability to multi-task, prioritize, and manage time effectively and efficiently.
• Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance
• Responsible for implementing best practices around systems integration, security, performance and data management
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Research in state-of-the-art methodologies
• Create documentation for learnings and knowledge transfer
• Create and audit reusable packages or libraries

Requirements

Our Ideal Candidate Will Have

• BA/BS in Computer Science.
• 2+ years of overall technology experience that includes hands-on building data engineering pipelines
• 2+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, etc.
• 1+ years in cloud data engineering experience in AWS
• 1+ years in building data engineering pipelines in AWS

Benefits

Why Procare?

• Excellent comprehensive benefits packages including: medical, dental, & vision plans- choose the plan best for you
• HSA option with employer contributions of $50/month
• Vacation time, holidays, sick days, volunteer & personal days
• 401K Plan with employer match and immediate vesting
• Medical, Dependent Care, and Transportation FSA Plans
• Paid Parental Leave
• Company paid Short and Long-Term disability and Life Insurance
• RTD EcoPass for all Denver employees
• Tuition Reimbursement up to $2,000/year and continued Professional Development
• Free access to our Employee Assistance Program with 24/7 live support
• Casual workplace environment
• Some meals provided
• Voluntary Pet Insurance
• Prime downtown location close to restaurants and entertainment
• Promote from within- excellent career paths

Salary

$95k - $115k DOE

Location

This position can be based in our Denver office or fully remote. We are currently in a flexible hybrid in-office/remote working model based on business needs.