Data Engineer
Location: Denver, CO
Job Type: Contract
Company: IDR
Category: Systems Engineering
Job Description Apply Now
The Data Engineer role presents an exciting opportunity for professionals experienced in designing, building, and maintaining robust data pipelines and solutions. As a Data Engineer, you will be working in a technically advanced environment, focusing on scalable data infrastructure, specifically leveraging Databricks for ETL workflows and data transformation. This position supports strategic forecasting initiatives within the energy and utility sectors, contributing to the development and optimization of a granular load forecasting platform. The company is recognized for its leadership in innovative data solutions for the infrastructure industry, providing an environment that encourages collaboration, professional growth, and the application of cutting-edge technologies.
As a Data Engineer, your primary focus will be constructing and managing ETL pipelines within Databricks, optimizing workflows, and ensuring the reliable ingestion and transformation of large-scale data sets. You will collaborate closely with data scientists, analysts, IT professionals, and business stakeholders to integrate diverse data sources and deliver actionable insights that drive business strategy. This role requires a strong technical background in Databricks, Python, and PySpark, with a proven ability to work in highly collaborative and dynamic team settings.
Those joining as a Data Engineer will have the opportunity to make a significant impact on the organization’s data architecture, supporting mission-critical forecasting applications and contributing to the company’s ongoing commitment to innovation and operational excellence. The company values its employees and offers a comprehensive benefits package, professional development opportunities, and a collaborative work culture. Working in Denver, Colorado, you will benefit from the vibrant local tech community and the unique advantages the city offers to technology professionals.
Data Engineer - Summary- Join a leading organization in the infrastructure and energy sectors as a Data Engineer specializing in Databricks.
- Play a key role in building and maintaining scalable ETL data pipelines that power strategic load forecasting initiatives.
- Collaborate with cross-functional teams to integrate, transform, and deliver high-quality data solutions.
- Work in a technical environment that values innovation, teamwork, and professional growth.
- Design, develop, and maintain ETL pipelines and workflows using Databricks, ensuring efficient data processing and integration.
- Support the development and optimization of a granular load forecasting platform, focusing on feeder and circuit-level data analytics.
- Integrate data from multiple internal teams and disparate systems to create unified data sets for analysis and reporting.
- Ensure reliable data ingestion, transformation, and flow into the forecasting platform, maintaining data quality and integrity.
- Collaborate with data scientists, analysts, IT teams, and business stakeholders to understand requirements and deliver scalable data solutions.
- Utilize Databricks features such as job orchestration, asset bundles, and production deployments to streamline workflows and support production environments.
- Participate in regular team meetings, code reviews, and knowledge-sharing sessions to continuously improve processes and solutions.
- Competitive compensation package designed to attract and retain top data engineering talent.
- Comprehensive benefits including medical, dental, vision, and life insurance.
- Employee Stock Ownership Program (ESOP) for long-term financial growth and investment in the company’s success.
- Access to a dedicated Engagement Manager committed to supporting your career progression and workplace satisfaction.
- Industry recognition as a ClearlyRated Best of Staffing® Client and Talent Award winner for 12 consecutive years.
- 7-10+ years of experience in data engineering or a closely related technical role.
- Expertise in Databricks is essential, with proven experience building and managing complex ETL pipelines and workflows.
- Advanced proficiency in Python and PySpark within the Databricks environment.
- Strong background in data ingestion, transformation, and integration from multiple data sources.
- Experience with Databricks features such as job orchestration, asset bundles, and production deployments.
- Excellent collaboration and communication skills, with the ability to work effectively with technical and non-technical stakeholders.
- Demonstrated commitment to continuous learning and staying current with industry best practices.
- Thrives in a fast-paced, collaborative, and innovative environment focused on delivering high-quality data solutions.
- Passionate about leveraging advanced analytics and data engineering techniques to solve complex business challenges in the energy and utility sectors.
- Detail-oriented, with a proactive approach to identifying and addressing data quality and process improvement opportunities.
- Comfortable working with cross-functional teams and communicating technical concepts to diverse audiences.
- Demonstrates a strong sense of accountability and ownership for project outcomes.
- The Data Engineer position offers the chance to work with a highly regarded organization known for its commitment to employee development and innovation in data solutions.
- Benefit from the unique professional opportunities available in Denver’s thriving technology sector.
- The company is an equal opportunity employer, dedicated to fostering a diverse, inclusive, and respectful workplace environment.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
- IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.
If you are an experienced Data Engineer eager to make an impact on cutting-edge forecasting initiatives, we encourage you to apply by clicking the job application button and joining a team dedicated to innovation and excellence.