Job Description

Data Engineer

Our Denver based client is seeking a Data Engineer to join their growing team. The ideal candidate will have extensive experience writing SQL queries and working with big data.

This is a hybrid (4 days onsite) position in the Greenwood Village, CO area.Candidates must be able to be in office during core hours of 10am – 3pm MT.

Due to our client’s requirements we can only consider W2 or Salaried employees, no C2C.

This is a long term 12-18 months with extension.

Key Responsibilities:

• Develop, maintain, and optimize ETL processes using SQL, HQL, Python, and Bash.

• Identify and address shortcomings ETL processes, suggesting and implementing potential upgrades to the tech stack.

• Develop automated solutions to streamline redundant task

• Collaborate with DevOps engineers to update necessary templates, test code, and manage template changes.

• Analyze and propose solutions, providing detailed analysis on pros and cons, level of effort (LOE), and success probabilities.

• Communicate complex technical concepts simply and effectively to both technical and non-technical stakeholders.

• Document processes, solutions, and changes thoroughly and clearly.

• Learn and integrate AWS applications to enhance our data infrastructure.

• Able to participate in weekend on-call responsibilities and possibly holiday on-call responsibilities

• Validate solutions and provide thorough readouts

• Self-motivated and able to self-manage projects through Jira

Qualifications:

• Proven experience as a Data Engineer or in a similar role.

• Expert knowledge in SQL and Bash

• Junior-level knowledge in Python and Spark SQL

• Strong problem-solving skills and has a curious, innovative mindset.

• Experience with ETL processes and has the ability to identify areas for improvement.

• Ability to develop and implement automation processes.

• Excellent communication and written skills.

• Comfortable working with DevOps engineers and managing code changes.

• Willingness to learn and adapt to new technologies, particularly AWS applications.

• Knowledge of data warehousing concepts and best practices.

Additional Experience:

• Experience with AWS services such as S3, Step Function, Lambda, Secrets Manager, and Glue.

• Familiarity with CI/CD pipelines and version control systems like Git.

• Functional knowledge of Tableau

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