Cornerstone OnDemand
Data Engineer
🇺🇸
Remote - US
🕑
Full-Time
💰
$88K - $141K
💻
Data Science
🗓️
April 13th, 2026
Airflow
ETL
MongoDB
Edtech.com's Summary
Cornerstone is hiring a Data Engineer - United States. The role involves designing, building, and maintaining batch or real-time data pipelines, optimizing data infrastructure for ETL processes, and collaborating with data scientists and functional leaders to deploy machine learning models. The engineer will also ensure data accuracy, security, and compliance while supporting data products on cloud platforms.
Highlights
- Design, build, and maintain data pipelines for batch and real-time processing.
- Optimize ETL processes and automate data workflows including ingestion and aggregation.
- Prepare datasets for technical and non-technical stakeholders from data warehouses.
- Collaborate with data scientists and teams in sales, marketing, and product to deploy ML models.
- Manage and deploy data products on cloud platforms such as AWS, Azure, and GCP.
- Ensure data integrity, privacy, security, and compliance through quality control.
- Strong skills required in SQL, relational databases, cloud data warehouses, and data ingestion tools like Fivetran and Matillion.
- Proficiency in programming languages including Python, Java, C++, Scala, and scripting with Bash.
- Experience with data pipeline tools like Airflow and deploying machine learning models in production.
- Compensation range: $88,100 to $141,000 USD base salary plus potential bonuses and benefits.
Data Engineer Full Description
Data Engineer - United States
Remote, United States
We're looking for a
Data Engineer - United States
This role is Remote, United States
Responsibilities
• Design, build and maintain batch or real-time data pipelines in production.
• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
• Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Monitor data systems performance and implement optimization strategies.
• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.
Minimum Qualifications
• Advanced SQL skills and experience with relational databases and database design.
• Experience working with cloud Data Warehouse solutions – Databricks, Apache Spark.
• Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
• Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP).
• Experience building and deploying machine learning models in production.
• Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
• Strong proficiency in scripting languages like Bash.
• Strong proficiency in data pipeline and workflow management tools (e.g., Airflow).
• Strong project management and organizational skills.
• Excellent problem-solving, communication, and organizational skills.
• Proven ability to work independently and with a team.
What will make you stand out
• Good understanding of NoSQL databases like CrateDB, Redis, Cassandra, MongoDB, or Neo4j.
• Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce)
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.
Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!
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 careers@csod.com 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
Responsibilities
• Design, build and maintain batch or real-time data pipelines in production.
• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
• Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
• Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP).
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Monitor data systems performance and implement optimization strategies.
• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.
Minimum Qualifications
• Advanced SQL skills and experience with relational databases and database design.
• Experience working with cloud Data Warehouse solutions – Databricks, Apache Spark.
• Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
• Working knowledge of Cloud-based solutions (e.g. AWS, Azure, GCP).
• Experience building and deploying machine learning models in production.
• Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
• Strong proficiency in scripting languages like Bash.
• Strong proficiency in data pipeline and workflow management tools (e.g., Airflow).
• Strong project management and organizational skills.
• Excellent problem-solving, communication, and organizational skills.
• Proven ability to work independently and with a team.
What will make you stand out
• Good understanding of NoSQL databases like CrateDB, Redis, Cassandra, MongoDB, or Neo4j.
• Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce)
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.
Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!
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 careers@csod.com 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
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