People Data Engineering Analyst at Squarespace

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

135500.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, SQL, Data Models, ETL Processes, ELT Processes, Automation Workflows, Looker, LookML, Python, R, Data Warehousing, Schema Design, Performance Tuning, Problem-Solving, Analytical Skills, Communication Skills

Industry

Software Development

Description

Join Squarespace’s People Analytics team and help power data-driven insights that shape our workforce strategies. As a Data Engineering Analyst, you’ll play a key role in keeping our HR data ecosystem running efficiently — building, maintaining, and optimizing data pipelines between systems like Workday, Greenhouse, and Looker via Fivetran, dbt, and BigQuery. This role is ideal for someone who enjoys hands-on data work, solving integration challenges, and ensuring data accuracy and reliability for downstream analytics. You’ll Get To… Build and maintain automated data pipelines across HR systems using Fivetran, dbt, and BigQuery, ensuring data accuracy, scalability, and performance. Support the design, development, and maintenance of the HR data warehouse on GCP, following data modeling best practices and maintaining clear documentation. Collaborate with People Analytics teammates to deliver high-quality, accurate datasets that support Looker dashboards and analytical reporting. Monitor pipeline health, troubleshoot issues, and proactively identify areas for optimization or automation. Translate business requirements into technical solutions by working closely with People Tech, IT, and HR partners. Maintain and enforce best practices for data governance, security, and confidentiality, ensuring sensitive employee data is handled responsibly and in compliance with internal policies. Perform quality control checks, validation, and testing of key HR datasets and metrics to ensure reliability and consistency. Share technical knowledge and best practices with team members, helping improve overall team productivity. Who We’re Looking For 4-6+ years of experience in data engineering, analytics engineering, or similar roles, ideally within a modern data stack (e.g., Fivetran, dbt, BigQuery, Looker). Strong SQL skills and experience developing data models within cloud data warehouses (GCP / BigQuery preferred). Experience building and maintaining ETL/ELT processes and automation workflows. Familiarity with Looker LookML development and dashboard optimization. Working knowledge of Python or R for data transformations and automation is a plus. Understanding of data warehousing principles, schema design, and performance tuning. Strong problem-solving and analytical skills, with an ability to balance detail orientation and efficiency. Excellent communication skills, with the ability to translate technical issues into clear, actionable updates for non-technical partners. Experience with HR data or systems (e.g., Workday, Greenhouse) preferred but not required. Benefits & Perks A choice between medical plans with an option for 100% covered premiums Fertility and adoption benefits Access to supplemental insurance plans for additional coverage Headspace mindfulness app subscription Global Employee Assistance Program Retirement benefits with employer match Flexible paid time off 12 weeks paid parental leave and family care leave Pretax commuter benefit Education reimbursement Employee donation match to community organizations 8 Global Employee Resource Groups (ERGs) Dog-friendly workplace Free lunch and snacks Private rooftop Hack week twice per year Cash Compensation Range: $97,000 - $135,500 USD The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. About Squarespace Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit https://www.squarespace.com/about/careers. Our Commitment Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

Responsibilities

Build and maintain automated data pipelines across HR systems, ensuring data accuracy and performance. Collaborate with People Analytics teammates to deliver high-quality datasets that support analytical reporting.