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Data Engineer

Work from home Full-time role Hiring
We're looking for a

Data Engineer

This role is Remote, United States

We are seeking a Data Engineer — Data Applications & Engineering to help build the next generation of enterprise data products and AI-enabled applications. This role sits at the intersection of data engineering, application development, analytics, AI, and user experience.

The ideal candidate is a strong technical problem solver and builder who can translate business needs into intuitive, production-ready data applications while continuing to deepen their expertise in modern data engineering. We are looking for someone with a strong technical foundation, demonstrated ability to build and ship solutions, and the capacity to grow into broader data engineering ownership.

You will initially have a strong focus on hardening, optimizing, and improving the user experience of Snowflake and data applications, while progressively taking greater ownership of data models, transformations, pipelines, and platform engineering.

We value curiosity, engineering judgment, communication, ownership, and the ability to learn quickly as much as expertise with any individual technology.

In this role you will…

  • Build, harden, and enhance enterprise data applications using technologies such as Snowflake, Streamlit, Python, SQL, and modern web frameworks.
  • Improve the frontend experience, usability, performance, accessibility, and production readiness of internal data and AI applications.
  • Translate business requirements into intuitive, scalable data products.
  • Partner with Data Engineers, BI Developers, Technical Leads, and business stakeholders from discovery through production.
  • Develop and maintain SQL transformations, reusable data models, and curated datasets.
  • Build and enhance ELT/ETL workflows and data pipelines as your ownership of the data engineering stack grows.
  • Use AI-assisted development tools to accelerate application development, testing, documentation, troubleshooting, and engineering workflows.
  • Integrate APIs, enterprise data sources, AI services, and Snowflake capabilities into production applications.
  • Implement application and data controls including authentication, authorization, role-based access, data quality, and security.
  • Participate in architecture reviews, code reviews, testing, deployment, and engineering standards.
  • Monitor and optimize application, query, and pipeline performance.
  • Prototype new AI and data capabilities and help transition successful experiments into supported production solutions.
  • Continuously expand your capabilities across Snowflake, dbt, orchestration, data modeling, observability, and enterprise data engineering.

You have what it takes if you have…

  • 3+ years of strong SQL skills and experience working with relational databases and structured data.
  • Hands-on experience building software, data applications, analytics applications, or data products.
  • Experience with Python or another modern programming language.
  • Experience with cloud data platforms such as Snowflake, Databricks, dbt, Airflow, Fivetran, Matillion or similar technologies.
  • Experience with modern application development, APIs, or frontend technologies.
  • Understanding of data modeling, ETL/ELT concepts, and modern data architecture.
  • Experience taking technical solutions from requirements or prototype through production.
  • Strong problem-solving skills and willingness to work across application and data engineering boundaries.
  • Strong communication skills and ability to work directly with business and technical stakeholders.
  • Ability to independently learn unfamiliar technologies and apply them to production problems.
  • Experience working in Agile engineering environments.

Extra Dose of Awesome if…

  • React, TypeScript, Streamlit, or other frontend/application development experience.
  • Experience building AI-enabled applications or working with AI-assisted development tools.
  • Experience with Docker, APIs, OAuth, IAM/RBAC, or application security.
  • Experience building internal enterprise applications.
  • Experience with Finance, HR, Services, Customer Success, or other enterprise business domains.
  • Experience taking prototypes or proofs of concept into production.
  • Product management or business analysis experience that helps bridge business problems and engineering solutions.

#LI-remote

Our Culture

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

Total Rewards

At Cornerstone, we are dedicated to inspiring excellence and pushing boundaries in everything we do. Our compensation strategy is based on three fundamental principles: equitable pay, market-driven research, and skill-based appraisals. As part of our mission to share success and empower individuals to thrive in an ever-changing world, the listed salary range is just one element of Cornerstone’s comprehensive compensation package. This compensation package may also include annual bonuses, short- and program-specific awards depending on the role, and a comprehensive benefit offering. The disclosed salary range reflects the geographic differential based on the location of the position if applicable. The starting salary for the successful applicant will depend on several job-related factors, including education, training, experience, certifications, location, business needs, and market demands. This range is based on a full-time position and may be adjusted in the future. Join us in shaping the future of work — tomorrow, together. Experience flexibility and empowerment in your career at Cornerstone. The BASE salary range for this position is: 88100 - 141000 USD.

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Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [email protected] or +1 855 454 8433.

Read the EEO is the Law poster here, and the supplementary poster here

Read the Read the Pay Transparency Nondiscrimination Provision poster here

Requires 3+ years of SQL and relational database experience, software or data application development, Python or another programming language, cloud data platforms, APIs, data modeling, production delivery, communication, and Agile experience.

Key Responsibilities

  • building applications
  • developing pipelines
  • optimizing performance

Skills & Tools

Snowflake, Streamlit, Python, SQL, Databricks, dbt, Airflow, Fivetran, Matillion, React, TypeScript, Docker, OAuth, IAM/RBAC, APIs

Job Details

  • Category: Data and Analytics
  • Seniority: Mid Level
  • Commitment: Full Time
  • Workplace: Remote — United States
  • Salary: USD 88,100 – 141,000 / year
  • Languages: English

Benefits

  • Generous paid time off

About Cornerstone OnDemand

A workforce agility technology provider offering AI-powered learning and talent solutions. — Industry: Information Technology

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