Data Engineer

ParentSquare

Senior Data Engineer building and evolving data platforms for ParentSquare's unified communication tools. Collaborating with cross-functional teams to drive data quality and governance.

Posted 6/3/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudPythonSQLTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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!

Benefits

Comp & perks

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!
Fully remote team with tools and equipment provided for home office

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata engineeringdata analyticsdata pipelinesdata modelingchange data captureevent-driven data patternsdata quality frameworksgovernance practices

Soft Skills

communicationcollaborationproblem-solvingpragmatismforward-thinkingadaptabilitystakeholder managementcritical thinkingattention to detailinnovation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering