Coors Tek

Data Engineer II

Golden, CO · Mid

Sponsorship not specified$103k-$136kDetected 10 hours ago

PythonScalaCode ReviewSQLDatabricksAzureDevOpsSparkData EngineeringSAPCommunicationCollaborationProblem Solving

About the role

It's exciting to work for a company that makes the world measurably better.
We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.
CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors.

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.
Document data processes, data lineage, and technical specifications for future reference.
Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.
Follow User Story requirements and acceptance criteria to deliver outcomes as defined by senior team members
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.

Ability to balance strategic, long-term architecture with near-term business priorities.

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.
Experience with SAP data collection, extraction, analysis, and ABAP development prefered.
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 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.

This listing is sourced directly from Coors Tek's careers page and normalized into a canonical job model.