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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Cornerstone OnDemand - **Location:** Las Vegas, NV, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, C++ (Programming Language), Cloud Computing, Data Control, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Distributed Systems, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), Machine Learning, MongoDB, Neo4j, NoSQL, Object-Oriented Software Development, Raw Data, Redis, Standard Sql, Scala (Programming Language), Workflow Management Systems, Scripting, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Cassandra, Presto, Data Pipelines, Databricks - **Published:** July 29, 2026 - **Apply:** https://dejobs.org/x/x/7AE61A257369412CB484A3E938B7FBE6/job/ ## About the Role · 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. Extra dose of awesome if you have... · 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). ## Description We are seeking a talented Data Engineer with strong communication skills, passion for solving business problems with data and has domain knowledge in Finance, Human Resources, and Customer Success. You have empathy, curiosity and desire to improve and constantly learn. Should be hands-on with dbt, Snowflake, Airflow, Fivetran, and has a proven track record of driving the best practices and processes, building data models and ETL loads. In this role you will... · 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. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)