Data Manager – Oil, Gas, Remediation

AECOM

Data Manager overseeing the design, development, and maintenance of data architecture for Oil, Gas, and Remediation projects. Leading data initiatives and ensuring effective data management solutions.

Posted 6/30/2026full-timeRemote • Arizona • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

CloudETLOraclePythonSQLTableau

About the role

Key responsibilities & impact

Oversee the design, development, and maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects
Drive data generation, storage, processing, and warehousing initiatives while ensuring the implementation of effective data management solutions and best practices
Develop, construct, test, and maintain databases and large-scale data processing systems
Ensure data is accessible, reliable, secure, and efficiently processed
Combine, optimize, and manage multiple large-scale data sources
Create automated reporting systems and data solutions
Provide software solutions that move data from its source to internal databases, including data warehouses
Implement and maintain data frameworks and architectures
Develop and maintain data pipelines to support data analysis, reporting, and business intelligence
Analyze complex issues and recommend solutions that improve data warehousing processes and methodologies
Use judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges
Accountable for the results of assigned projects and processes
Demonstrate strong proficiency in data programming languages and knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions
Knowledge of API (Application Programming Interface) integration to support data access, collection, distribution, transformation, and ELT (Extract, Load, Transform) processes
Apply algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis.

Requirements

What you’ll need

BA/BS Computer Science, Information Science, Data Engineering or related field and 6 years of relevant experience or demonstrated equivalency of experience and/or education
Experience in data engineering, business intelligence (BI), or analytics development
Strong proficiency in SQL and experience with relational and analytical databases
Proficiency in Python or a similar scripting language
Experience developing interactive dashboards and data visualizations using Power BI, Tableau, Looker, or similar business intelligence tools
Experience designing and supporting data pipelines, data integration, and ETL/ELT processes
Experience working with cloud-based or enterprise data warehousing solutions
Familiarity with enterprise business systems such as Oracle, Workday, CMiC, or similar enterprise platforms
Advanced Microsoft Excel skills, including data analysis, automation, and reporting.

Benefits

Comp & perks

medical
dental
vision
life
AD&D
disability benefits
paid time off
leaves of absences
voluntary benefits
perks
flexible work options
well-being resources
employee assistance program
business travel insurance
service recognition awards
retirement savings plan
employee stock purchase plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ArchitectureData WarehousingETL/ELT ProcessesData VisualizationData AnalysisData Management SolutionsAutomated Reporting SystemsData Processing ToolsStatistical MethodsAPI Integration

Soft Skills

Problem SolvingJudgmentAccountability