Data Engineer

Data Engineer Location: Dublin, CA, United States We are seeking a talented Data Engineer to sit in our Dublin, CA office (Hybrid). The right candidate has strong communication skills, passion for solving business problems with data and domain knowledge in Finance, Human Resources, and Customer Success. You have empathy, curiosity, and a desire to continually learn and improve. Hands‑on experience with dbt, Snowflake, Airflow, and Fivetran is required, along with a proven track record of establishing best practices, building data models, and designing ETL loads. 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 sources. Develop ETL processes to help extract and manipulate data from multiple sources. Automate data workflows such as ingestion, aggregation, and ETL processing. Prepare raw data in data warehouses into consumable datasets for 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 privacy, security, compliance, and quality within allocated ownership areas. Qualifications 3+ years of SQL skills and experience with relational databases and database design. Experience with cloud data warehouse solutions such as Databricks and Apache Spark. Experience with data ingestion tools such as Fivetran, Stitch, or Matillion. Working knowledge of cloud‑based solutions (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 such as 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. Bonus Qualifications Good understanding of NoSQL databases such as CrateDB, Redis, Cassandra, MongoDB, or Neo4j. Experience with large data sets and distributed computing (Hive/Hadoop/Spark/Presto/MapReduce). Benefits Total compensation includes a base salary ranging from $88,100 to $141,000 USD, annual bonuses, short‑ and program‑specific awards, and a comprehensive benefits package. Location‑based differentials may apply. 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 View email address on click.appcast.io or View phone number on click.appcast.io. Read the EEO is the Law poster here, and the supplementary poster here. Read the Pay Transparency Nondiscrimination Provision poster here. #LI-Hybrid #J-18808-Ljbffr