Cornerstone OnDemand, Inc. is seeking a Data Engineer to design, build, and maintain data pipelines and ETL processes in a remote, United States-based setting. The role centers on delivering scalable data infrastructure on cloud platforms, crafting data products for analytics and machine learning deployment, and collaborating with data scientists and business leaders across sales, marketing, and product. A strong emphasis will be placed on data quality, privacy, security, and enabling data-driven decision making across the organization.
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.
Requirements
- 3+ years of 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.
Technologies
- dbt
- Snowflake
- Airflow
- Fivetran
- Databricks
- Apache Spark
- Stitch
- Matillion
- AWS
- Azure
- GCP
- Python
- Java
- C++
- Scala
- Bash
- Hive
- Hadoop
- Presto
- MapReduce
- CrateDB
- Redis
- Cassandra
- MongoDB
- Neo4j
- SQL
Benefits
- Annual bonuses
- Short- and program-specific awards
- Comprehensive benefit offering
- BASE salary range: USD 88,100 - 141,000
Our Culture
Spark greatness, push boundaries, and share success. This is a place where curious disruptors help communities and customers learn, grow, and advance, enabling tomorrow’s workforce from anywhere today. The environment emphasizes impact, collaboration, and continuous improvement as part of shaping the future of work.
Who We Are
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the AI-powered workforce agility platform, meets organizations where they are to identify skills gaps, retain and engage top talent, and provide multimodal learning experiences for the modern workforce. The platform serves more than 7,000 organizations and 100 million+ users across 180+ countries.
Total Rewards
Cornerstone’s compensation approach centers on equitable pay, market-driven research, and skill-based appraisals. The listed salary range is one element of a broader compensation package, which may include annual bonuses as part of our offerings.
