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Data Engineer

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Blackstone Technology Group
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Engineer to join our Client's team. The Data Engineer designs and maintains the scalable data infrastructure and pipelines essential for reliable data delivery across our client. Reporting to the Data Manager, this role integrates modern cloud technologies and data warehousing expertise to ensure systems are secure, performant, and available for analytical use cases.

Strategically, the position bridges the gap between raw data and actionable insights by collaborating with cross-functional teams to deliver tailored data solutions. This work has a high-level impact on district operations by championing data quality standards and building interoperable systems that support data-driven decision-making.

Summary

The Data Engineer designs, builds, and maintains scalable data infrastructure and pipelines to ensure reliable, secure, and performant data delivery across the district. This position reports directly to the Data Manager within the Technology Division's Infrastructure department. Operating within a 261-day work year, the role combines data warehousing expertise with modern cloud-based technologies to integrate diverse data sources into a cohesive ecosystem.

Ultimately,this position serves as the foundational architect of district intelligence, transforming raw information into a high-performance asset that enables data-driven decision-making for all stakeholders.

Essential Duties and Responsibilities

Listed below are the essential functions required to achieve the purpose of this job. The functions are not an exhaustive list of the duties and responsibilities of this role. Time percentages are estimates and may vary by location and/or assignment.

  • Data Architecture and Pipeline Engineering - 40% Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop robust ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to integrate data from diverse sources into our data ecosystem. Design and maintain data models, schemas, and database structures to support analytical and operational use cases.

    Champion data quality standards in pipeline and warehouse design to ensure reliable data delivery.
  • Infrastructure and Cloud Management - 25% Configure and manage data infrastructure components including databases, data warehouses, and data lakes. Utilize distributed computing frameworks to support scalable data storage and processing across the district. Apply expertise with cloud data platforms and Infrastructure-as-Code to maintain modern data systems.
  • Data Security and System Integration - 20% Implement data security, access controls, backup, and recovery strategies across all data platforms. Build and maintain integrations with internal and external data sources and APIs. Implement RESTful APIs and web services for data access and consumption. Ensure compatibility and interoperability between different systems and platforms to support seamless data flow.
  • Stakeholder Collaboration and Technical Support - 10% Collaborate with data scientists, analysts, developers, and other stakeholders to understand data requirements. Deliver tailored solutions that meet the specific needs of cross-functional teams and district stakeholders. Provide technical guidance and support to team members and stakeholders as needed. Communicate complex technical concepts effectively to non-technical stakeholders to ensure system alignment.
  • Perform other duties as assigned (5%) Perform other duties as assigned.
Education and Training
  • Candidates must possess a Bachelor's degree at the time of hire. The required area of study is Computer Science, Engineering, Information Systems, or a related field, with an advanced degree preferred.
  • Experience Candidates must have three to five years of experience in data engineering, data warehousing, or BI solution delivery. Required areas of expertise include dimensional modeling, ETL development, and pipeline orchestration.
Skills, Knowledge, and Competencies
  • Ability to promote and follow district policies and building and department procedures.
  • Ability to communicate, interact, and work effectively and cooperatively with people from diverse backgrounds.
  • Ability to recognize the importance of safety in the workplace, follow safety rules, practice safe work habits, utilize appropriate safety equipment, and report…
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