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Data Engineer I

Confidential Client•Energy & Utilities
Entry LevelFull-timeHybrid$90,521
Glendale, Colorado
16 Hours Ago

The Data Engineer I at Confidential Client supports the development and maintenance of scalable, reliable data pipelines and integration workflows in a hybrid work environment. This entry-level role involves collaborating with senior engineers and analysts to implement data solutions, optimize SQL queries, ensure data quality, and document processes, contributing to enterprise-scale data management and innovation.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a natural gas utility (Energy & Utilities).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Primary Duties & Responsibilities

  • Build and maintain scalable, reliable data pipelines and integration workflows using modern orchestration tools, low-code platforms, and custom scripting across on-prem and cloud systems.
  • Ingest, transform, and stage structured and semi-structured data into enterprise data repositories; write, troubleshoot, and optimize SQL queries, views, and stored procedures.
  • Implement data quality checks, alerts, logging, and monitoring; collaborate with Data Analysts and SAP Analysts to validate datasets and ensure accurate delivery.
  • Document data sources, pipeline logic, and transformations in shared repositories; manage code with team-based source control and code review practices.
  • Participate in agile rituals (standups, sprint planning), support on-call rotations, respond to data support tickets, and recommend process or technology improvements.

Education & Experience

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred; equivalent combination of education and relevant experience will be considered.
  • 1–3 years of experience in data engineering, ETL development, or data integration roles.
  • Practical experience building or maintaining data pipelines using orchestration tools and/or custom scripting.
  • Hands-on experience with relational databases, writing and tuning SQL, and exposure to cloud-based data environments and source control workflows.

Knowledge, Skills & Abilities

  • Working knowledge of modern data orchestration and workflow automation tools; comfortable building pipelines with low-code platforms and custom code.
  • Solid understanding of relational databases with the ability to write and debug T-SQL or PL/SQL; familiarity with cloud data engineering concepts a plus.
  • Experience with data integration techniques (FTP/SFTP, API ingestion, data staging), source control, and deployment automation.
  • Strong analytical and troubleshooting skills with a focus on data accuracy, observability, and clear documentation.
  • Effective verbal and written communication; self-motivated, team-oriented, and aligned with organizational values.

Compensation & Benefits

  • Salary range: $89,102 - $105,808 annually (dependent on experience).
  • Competitive benefits package, typically including medical, dental, vision, and retirement options — details provided by the Confidential Client during the hiring process.
  • Professional development and a collaborative environment focused on safety, innovation, and community.

Location & Work Model

  • Hybrid position based in Glendale, CO. This role requires regular on-site collaboration at the local office; no relocation assistance will be provided.
  • Candidates must be authorized to work in the United States.

Additional Details

  • This listing is posted by Careertakes on behalf of a Confidential Client (a natural gas utility in the Energy & Utilities sector).
  • Applicants will be evaluated on skills, experience, and fit for the team. Careertakes may surface additional matched opportunities to qualified candidates.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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