Data Engineer IIIThe Chronicle of Higher Education • Salt Lake City, Utah, United States
Data Engineer III
The Chronicle of Higher Education
- Salt Lake City, Utah, United States
- Salt Lake City, Utah, United States
Über
Establish project teams and provide overall direction for technical projects from initiation through delivery. Perform project requirements, estimation, and budget management. Formulate project scope and delivery strategies and establish milestones/schedules. Maintain and report project status and monitor progress of all team members. Gather required data from end‑users to evaluate objectives, goals, and scope to create technical specifications. Serve as liaison between technical and non‑technical departments to ensure that all targets and requirements are met. Keep leadership informed of key issues that may impact project completion, budget, or other results.
The Utah DCC offers a career ladder for Data Engineers and provides growth and professional development opportunities.
This position is not eligible for work visa sponsorship.
Responsibilities
Design, develop, and maintain database architecture following industry best practices. Design and implement scalable, secure, and high‑performing database solutions aligned with industry standards and architectural best practices. This includes data modeling (conceptual, logical, and physical), schema design, indexing strategies, performance tuning, backup and recovery planning, and ensuring data integrity and consistency.
Build, optimize, and maintain scalable data pipelines. Design, develop, and orchestrate reliable, high‑performance data pipelines from initial data ingestion through final delivery.
Develop and optimize data processing and automation code. Design, implement, and maintain robust code for data extraction, transformation, integration, and analysis using appropriate languages and frameworks. Optimize performance, ensure data accuracy, and uphold high standards for code quality, reliability, and maintainability.
Drive continuous improvement and innovation in cloud data technologies (AWS focused). Stay current with emerging data engineering technologies, industry trends, and evolving AWS services to continuously enhance platform capabilities and architectural standards.
Collaborate with business partners to develop scalable data solutions. Partner with internal teams and external stakeholders to design and deliver innovative data solutions that support evolving business needs.
Implement and maintain CI/CD and version control best practices. Design, implement, and support robust CI/CD pipelines to automate build, test, deployment, and release processes for data pipelines, database objects, and cloud infrastructure.
Develop and support data pipelines for business intelligence and analytics. Design, build, and maintain reliable, scalable data pipelines that deliver curated, analytics‑ready datasets to support BI and reporting needs.
Support and implement data security and compliance requirements. Partner with operations and security teams to implement and maintain data security controls, access policies, encryption standards, and compliance requirements.
Monitor, troubleshoot, and enhance pipeline performance. Continuously monitor data workflows, resolve data processing issues, identify bottlenecks, and enhance performance across ETL/ELT processes.
Gather requirements and document data workflows. Collaborate with business stakeholders to collect requirements for data pipelines, integrations, and reporting needs. Document data processes, transformation logic, workflow designs, and operational procedures.
Operate effectively both independently and within cross‑functional teams. Demonstrate the ability to manage priorities, drive initiatives, and deliver high‑quality solutions independently while also contributing collaboratively.
Minimum Qualifications
Requires a bachelor’s (or equivalency) and 6 years of directly related work experience, or a master’s and 4 years of directly related work experience.
1 year of higher education can be substituted for 1 year of directly related work experience.
Preferences
Experience with cloud data services (AWS preferred: Glue, S3, EC2; bonus for Lambda, Athena, EMR)
Strong experience with Microsoft SQL Server and T‑SQL
Development experience in Python for data engineering (Pandas, PySpark, Boto3)
Experience with version control and CI/CD tools (Git, GitHub/GitLab, Jenkins)
Ability to read or understand Java is a plus
Experience with data visualization/reporting tools (Power BI, Tableau, SSRS)
Understanding of data warehouse principles (Star/Snowflake schemas)
Working knowledge of database management, data integration patterns, and ETL/ELT frameworks
Strong analytical and problem‑solving skills
Strong communication skills
Experience working in Agile environments
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Sprachkenntnisse
- English
Hinweis für Nutzer
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