As a Data Engineer, you'll design and develop solutions to enhance operational effectiveness, working with various teams through the software development life cycle to create integrations, documentation, and support solutions.
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
Under limited direction, this individual is responsible for designing and developing solutions that improve how Huron does business. This individual participates in the full software development life cycle including requirements development, analysis, design, implementation, and support. In this role, you will also create technical specifications based on conceptual design and business requirements and will consult with project and business teams to prototype, refine, test, and debug solutions. You will use current programming languages and technologies to build solutions and integrations between systems, develop documentation and procedures for installation, support, and maintenance. All solutions will be built based on Huron’s enterprise platforms and technologies.
Requirements and Preferences
- Bachelor’s degree in Engineering (or related field) with 2+ years of relevant industry experience.
- Hands-on experience in building data lake, data warehouse, and big data/analytics solutions.
- Proficiency in ETL development, data modeling (dimensional and normalized), and batch data processing (Hadoop/Spark).
- Strong programming skills in Python, SQL, and Bash, with the ability to create robust and reusable code.
- Experience working with AWS (S3, Lambda, Glue, RDS, Redshift, Athena) and Azure (Data Factory, containers) ecosystems.
- Demonstrated experience with Power BI, including building data models and dashboards, especially using data from Databricks.
Preferred Certifications:
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- AWS Certified Developer – Associate (DVA-C01)
- AWS Certified Data Analytics – Specialty (DAS-C01)
- Azure Data Engineer Associate (DP-203)
Top Skills
AWS
Azure
Bash
Hadoop
Power BI
Python
Spark
SQL
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