Data Engineer I
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.
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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