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Data Engineer - United States

Job

Cornerstone OnDemand

Romeoville, IL (In Person)

Full-Time

Posted 3 weeks ago (Updated 3 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

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)

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