CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.
We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow.
With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future.
About the Role
Location: Remote, United States
Role Type: Full-Time
Reporting to: Lead Data Scientist
Compensation: $110,000 to $150,000 per year
We’re looking for a highly capable and pragmatic Senior Data Engineer who thrives in environments where they can take initiative, wear multiple hats, and turn ambiguity into action. This is a deeply hands-on role for someone eager to help shape our next-generation infrastructure. As the sole data engineer on our team, you will have true ownership over designing the architecture, pipelines, and models that power every critical function at CodePath—from student success analytics to business intelligence to AI-driven personalization. Check out our platform overview .
As the first Senior Data Engineer at CodePath, you will:
Lead the design and development of a modern, scalable data platform that fuels analytics, data science, and ML
Work cross-functionally with engineers, data scientists, and business leaders on high-impact projects
Help build the foundation for data systems that directly enable student success, program outcomes, and organizational growth
This is a unique opportunity to:
Build something new : Be the architect of CodePath’s first modern data platform
Drive visibility and impact : Partner closely with leadership to deliver insights that shape our strategy
Scale CodePath’s mission : Ensure our 30,000+ students and alumni are supported with the infrastructure to thrive in the AI-native workforce
Every pipeline you build and every model you optimize will ripple across an organization supporting tens of thousands of students, alumni, and partners, making this one of the highest-impact roles you’ll find. This is your chance to take full ownership of a greenfield data engineering function—designing, building, and scaling systems that will serve as the backbone of CodePath’s future.
Key Activities
Data Platform & Architecture: Design and maintain a scalable, modern data infrastructure (data warehouses, pipelines, data lakes, analytic products)
Pipelines & ETL/ELT: Build and optimize robust data workflows using SQL, dbt, FiveTran and other tools to deliver clean, reliable, and timely data
Modeling & Analytics Enablement: Create effective data models to power self-serve analytics, performance reporting, and strategic insights across teams
Business Intelligence: Develop and maintain dashboards and reporting tools (Tableau or equivalent) that drive decision-making and clarity on key KPIs
Governance & Quality: Establish data quality and governance standards, ensuring stakeholders can trust and act on data
Documentation & Maintainability: Document systems, models, and pipelines to support transparency, onboarding, and long-term scalability
Cross-Functional Collaboration : Work closely with engineers, data scientists, and business stakeholders to scope, prioritize, and deliver data solutions
Strategic Data Leadership: Partner with leadership to define and evolve CodePath’s data strategy, ensuring that infrastructure investments align with long-term organizational goals
Mentorship & Standards: Establish engineering best practices for data workflows, mentoring future hires and empowering non-technical stakeholders to work confidently with data
Key Success Metrics
Review and improve existing data models and schemas to support analytical and reporting needs
Take ownership of CodePath’s ETL pipeline and (BigQuery) data warehouse; develop new data models (using dbt) support evolving data needs across the organization
Manage CodePath’s Google Cloud Platform infrastructure (CloudRun, BigQuery, App Engine) to support data and dashboardings needs, including owning security/permissions, scalability, and uptime
Define a roadmap for data infrastructure that aligns with organizational growth and impact measurement goals
Propose and implement innovative solutions to improve data ingestion, processing, and storage
Develop and implement metrics to demonstrate that data engineering solutions align with business objectives and strategic goals
Qualifications
5+ years of experience in data engineering or similar roles
Strong SQL skills and experience building efficient pipelines, including performance tuning
Proven ability to work autonomously and deliver outcomes in a fast-changing environment
Expertise in building data pipelines end-to-end, from ingestion through transformation to final visualization. Deep understanding of data modeling principles (dimensional modeling, data normalization)
Hands-on experience managing cloud data warehouses (BigQuery, Snowflake, Databricks, or Redshift)
Proficiency with CodePath’s primary data stack, including Postgres, Airbyte, dbt, and Tableau
Strong communicator who can make complex analysis clear and actionable for diverse stakeholder
Preferable Qualifications
Experience developing custom data connectors and integration with platforms like SurveyMonkey, HubSpot, or Airtable
Familiarity with data quality frameworks and governance best practices
Background in a fast-paced, startup environment with the adaptability to thrive in ambiguity
Compensation
CodePath has standardized salaries based on the position’s level, no matter where you live. For this role, we’re hiring for a Senior level position at an annual salary of $110,000 to $150,000. Salary is determined based on your relevant experience and skills as evaluated through our interview process.
Full-Time Employee Benefits
This is a 100% remote position—work from anywhere in the U.S.! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.
Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program
Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection
Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2)
Professional Growth: $1,000 annual professional development stipend and home office setup support
Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt
Pay range
$110,000—$150,000 USD
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