Role Snapshot
Senior Data Engineer at ParentSquare responsible for building and evolving the company's data platform, including scalable pipelines, data warehouse architecture, and governance frameworks. This role directly impacts how data powers product decisions and enables meaningful analysis across the organization serving over 22 million students.
Key Responsibilities: Design and maintain scalable, reliable data pipelines and infrastructure; build data quality and governance frameworks ensuring accuracy and trustworthiness; partner with Data Science, Analytics, and business teams to develop pipelines, data models, and semantic layers; continuously evaluate and optimize solutions for performance, cost, and scalability.
Skills & Tools: Expert-level proficiency in data engineering architecture, ETL/ELT pipeline design, and data warehouse systems; strong communication and collaboration abilities with the ability to explain complex technical concepts to non-technical stakeholders; experience with modern data platforms, SQL, and best practices in data governance and quality frameworks.
Qualifications: Demonstrated experience designing end-to-end data products and building scalable data infrastructure at enterprise scale; proven track record of taking ownership of projects, thinking strategically about trade-offs, and collaborating effectively with cross-functional teams.
Location: Remote - Remote (United States)
Compensation: $130K–$160K/yr
Job Description
Who You Are
You're a proactive, curious builder who takes ownership and thinks ahead. You have experience designing end-to-end data products. You're just as comfortable communicating your ideas as you are heads-down building. You know when to pursue the elegant solution and when to just ship it, and you're transparent about the decision and trade-offs. You bring positive, no-ego energy to everything you do and collaborate naturally with the people around you. A sense of humor is required.
- Design and Scale Data Infrastructure: Architect and maintain scalable, reliable data pipelines and systems across our stack.
- Drive Data Quality and Governance: Build frameworks and standards that ensure data is accurate, well-documented, and trustworthy at every layer.
- Evolve Our Platform: Continuously evaluate and improve our solutions - optimizing for performance, cost, and scalability while bringing best practices and a forward-thinking approach to every decision.
- Enable the Business: Partner with Data Science, Analytics, and business teams to develop pipelines, data models, metric definitions and semantic layers and ensure the data is consistent and accurate.
- Balance Speed and Scale: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders.
- Champion Modern Practices: Embrace AI-assisted development workflows, stay current on tooling, and help the team continuously raise the bar.
- 5+ years of experience in data engineering, analytics or a closely related field
- Strong SQL and Python skills; comfortable working across the full data stack
- Hands-on experience with modern data tooling and platforms - Fivetran, dbt, Snowflake, Databricks or Redshift.
- Experience building data pipelines on cloud platforms (AWS preferred), and infrastructure-as-code tooling such as Terraform
- Experience with change data capture and event-driven data patterns
- Solid understanding of modern warehouse and lakehouse architecture, data modeling fundamentals including Kimball dimensional modeling and medallion design patterns
- Experience with data quality frameworks, and governance practices
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Experience with AI-driven development tools (Cursor, Copilot, or similar) integrated into day-to-day engineering workflows is a bonus!
- Employer-paid health insurance (including dependent coverage)
- An employer-matched 401K retirement savings program from day 1
- Paid Parental Leave
- Stock options
- Health + wellness reimbursements
- PTO that increases each year
- 15 paid holidays, including your birthday!
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