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AECOM Hunt · 1 day ago

Data Engineering Specialist

Phoenix, AZ

Full-time

Onsite

Mid Level

$74K/yr - $138K/yr

4+ years exp

AECOM is a global leader in infrastructure consulting, dedicated to delivering innovative solutions for complex challenges. The Data Engineering Specialist will ensure data accessibility and reliability, manage big data sources, and develop data pipelines to enhance data analysis and reporting.

Construction

No H1B

Responsibilities

Ensure data is accessible, reliable, and efficiently processed

Combine, optimize, and manage multiple big data sources

Create automated reporting systems

Provide software solutions that move data from its source to an internal database such as data warehouse/data lake

Implement data frameworks and/or architectures

Design, develop and maintain data pipelines to enable strong data analysis and reporting

Utilize a myriad of solutions to ensure problem resolution with data warehousing and data sources

Escalate unsolvable problems beyond individual knowledge and scope to senior level employees

Qualification

Data EngineeringSQLData WarehousingPythonData Optimization ToolsBI ToolsSoft Skills

Required

BA/BS Computer Science, Information Science, Data Engineering or related field and 4 years of relevant experience or demonstrated equivalency of experience and/or education

Preferred

Proficiency in data programming languages

Knowledge of data optimization tools, data structures and architecting, data warehousing solutions

Knowledge of API (application programming interface) support to allow for data access/gathering/distribution, data transformation and ELT (extract, load, transform)

Utilization of algorithmic and statistical assessments, data processing tools and approaches (including AI) in support of data consumption

Strong experience in creating resourceful dashboards which effectively represent data from various data streams such as using Power BI, Tableau, Looker, or similar tools

Experience in data engineering, BI, or analytics development

Strong proficiency in SQL and experience with relational and analytical databases

Proficiency in Python (or similar scripting language)

Familiarity with programs such as CMiC, Workday, Oracle, Bridgit Bench, SmartRecruiters, Blue Beam, Navisworks or other construction related software

Advanced Excel skills