People Data Engineer

EquipmentShare is Hiring a Data Engineer.

EquipmentShare is searching for a Data Engineer to work fully remotely. 

EquipmentShare is seeking a Data Engineer to be responsible for how we manage our Human Resources data

Primary Responsibilities

• Establish sound pipelines and clear table structures for a wide variety of metrics used by the People Analytics team, with particular emphasis on ensuring data security and anonymity, and helping to ensure compliance with all legal requirements for this data
• Help shape best practices within our data engineering teams more broadly, along with mentoring and developing junior data engineers
• Manage AWS and Snowflake resources and databases
• Collaborate with other data engineers as well as be the direct point of contact for the people analytics team for data ingestion, transformation, and automation.

Why We’re a Better Place to Work

• Competitive salary.

• Medical, Dental and Vision coverage for full-time employees.

• 401(k) and company match.

• Unlimited Paid time off (PTO) plus company paid holidays.

• Stocked breakroom and full kitchen, chef prepared meals daily (breakfast and lunch).

• State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.

• Seasonal and year round wellness challenges.

• Company sponsored events (annual family gatherings, happy hours and more).

• Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year. 

• Opportunities for career and professional development with conferences, events, seminars and continued education. 

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

• Degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
• 3+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer, analytics engineer, software developer or a closely related role
• Experience working with HR data, or other sensitive data types.
• Experience with Workday is a plus
• Demonstrated understanding of business analytics, data modeling, and warehousing

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

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