Data Engineer

Blackstone Technology Group; Aurora (CO); On-site; USD 120,000 - 150,000; Full time

Job summary

Blackstone Talent Group is seeking a Data Engineer to design and maintain scalable data infrastructure and pipelines for reliable data delivery across the district. The role emphasizes modern cloud technologies and data warehousing to support analytics for cross-functional teams.

The position reports to the Data Manager within the Technology Division. It focuses on transforming raw data into actionable insights, championing data quality, and building interoperable systems for data-driven

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred.
• 3–5 years of experience in data engineering, data warehousing, or BI solution delivery.
• Experience with dimensional modeling, ETL development, and pipeline orchestration.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming data.
• Configure and manage data infrastructure including data warehouses and lakes.
• Implement data security, access controls, backup, and recovery strategies.

Skills

Data modeling

ETL development

Cloud platforms

Python/SQL

Dashboard/BI

Education

Bachelor's degree in CS/Engineering/IS

Tools

Airflow

Databricks

SQL

Cloud services

Job description

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 unsafe conditions to the appropriate administrator.
• Strong knowledge of data warehouse concepts including OLAP, star/snowflake schemas, dimensional modeling, and metadata management.
• Experience with cloud data platforms and Infrastructure-as-Code.
• Proficiency in programming languages commonly used in data engineering.
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proficiency with ETL tools commonly used in the industry.

Certificates, Licenses & Registrations

• Must possess a valid Colorado driver's license.
• Requirement to obtain basic application certifications within 6 months after hiring.
• Criminal background check and fingerprinting required for hire.

Preferred Qualifications

• Education, training, experience, skills, knowledge, licenses, certifications, endorsements, designations, and other qualifications relevant to the position that are strongly preferred but not required at hire.
• An advanced degree is preferred.
• Oral and written fluency in a second language.

Supervision/Technical Responsibility

No supervisory responsibilities: Does not have any supervisory duties or responsibilities.

Budget and Resource Responsibility

No budget or resource responsibilities: Does not have any identified budget or resource management duties.

Physical Demands, Mental Demands, and Work Environment

The demands described below are representative of those an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands Frequently: Sit and use hands to finger, handle, or feel. Regularly: Stand, walk, talk, or hear. Occasionally: Reach with hands and arms, climb or balance, stoop, kneel, crouch, or crawl, taste or smell, and lift and/or move up to 10 pounds. Specific vision abilities: Close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Mental Functions Frequently: Coordinate and compile. Regularly: Compare, analyze, communicate, copy, synthesize, evaluate, use interpersonal skills, and negotiate. Occasionally: Instruct and compute.

Security Clearance Required

N/A

Employer Overview

Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

EEO of Minorities/Females/Veterans/Disabilities

EOE of Minorities/Females/Veterans/Disabilities