Senior Data Engineer

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

• Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings