Data Engineer II

CoorsTek, Inc. • Golden, CO

1d • $103,040 - $136,013

About The Position

As the Data Engineer II, you will play a critical role in developing, transitioning and optimizing data transformations that enable efficient data processing and analysis. Your collaboration with internal and cross-functional teams will drive data-driven decision-making and contribute to the continuous improvement of our Lakehouse hosted on databricks.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a related field, with hands-on experience building and supporting modern data platforms using Databricks, Spark, SQL, and Python.
• Proven experience in data engineering, including hands-on experience with Databricks and implementing scalable data solutions.
• Strong proficiency in ANSI SQL, Python, and/or Scala, with experience using Spark and Databricks SQL Warehouse/Lakehouse environments.
• Experience developing data products, analytical models, and model governance frameworks.
• Experience with data governance, including data quality, hygiene, anonymization, security, and responsible data management practices.
• Ability to analyze and modernize legacy ETL solutions, including SSIS packages, stored procedures, and database views.
• Strong problem-solving skills with the ability to navigate complex Microsoft data environments.
• Experience working in Agile environments using Azure DevOps (Microsoft DevOps).

Nice To Haves

• Experience with SAP data collection, extraction, analysis, and ABAP development prefered.
• Strong business acumen with experience supporting manufacturing or industrial organizations preferred.
• Ability to balance strategic, long-term architecture with near-term business priorities.
• Passion for leveraging data and analytics to drive business outcomes.

Responsibilities

• Work with large datasets, ensuring data quality, accuracy, and performance.
• Follow User Story requirements and acceptance criteria to deliver outcomes as defined by senior team members
• Leverage databricks SQL to curate and transform data as defined by project plan or user stories
• Follow data transformation, integration, and validation guidelines to support analytics and reporting needs.
• Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
• Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
• Document data processes, data lineage, and technical specifications for future reference.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level