Remote Data Engineer: ETL Pipelines & Data Platforms

JobCubby; Northern (KY); Hybrid; USD 88,000 - 141,000; Full time

Job summary

Cornerstone OnDemand is seeking a Data Engineer to design and operate batch and real-time data pipelines. You will optimize data infrastructure for reliable extraction, transformation, and loading from diverse sources and enable data products for analytics teams.

Join a data-driven culture that values collaboration, security, and scalable cloud platforms (AWS/Azure/GCP). Strong SQL, Python, and Airflow skills are essential for success.

Qualifications

• 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.

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.

Skills

SQL

Python

Java

C++

Bash

Airflow

Machine learning models

Tools

dbt

Snowflake

Airflow

Fivetran

Stitch

Matillion

Databricks

Apache Spark

AWS

Azure

GCP

Job description

Cornerstone OnDemand is seeking a Data Engineer to design and operate batch and real-time data pipelines. You will optimize data infrastructure for reliable extraction, transformation, and loading from diverse sources and enable data products for analytics teams.

Join a data-driven culture that values collaboration, security, and scalable cloud platforms (AWS/Azure/GCP). Strong SQL, Python, and Airflow skills are essential for success.