Data Manager – Oil, Gas, Remediation

AECOM

Data Manager overseeing data infrastructure and architecture for Oil, Gas, and Remediation projects. Driving data generation, storage, and processing initiatives while ensuring data management best practices.

Posted 7/16/2026full-timeRemote • Nevada • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data infrastructure management, data engineering, and environmental data analysis, with strong proficiency in SQL, Python, and data visualization tools. Capable of designing and maintaining data pipelines, ensuring data quality, and implementing effective data management solutions in a collaborative environment.

Highest-signal resume keywords

Data Infrastructure ManagementSQL ProficiencyData Pipeline DesignEnvironmental Data AnalysisData Visualization Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Programming LanguagesData Optimization ToolsData ArchitectureData Warehousing SolutionsAPI IntegrationETL/ELT ProcessesData AnalysisStatistical MethodsData Processing ToolsCloud-Based Data Solutions

Soft Skills

Collaborative TeamworkProblem SolvingJudgment and Decision Making

Tools & Technologies

Power BITableauLookerEarthsoft EQuIS SuiteLocus EIMOracleWorkdayCMiCMicrosoft Power PlatformAdvanced Microsoft Suite

Industry Keywords

Oil and GasEnvironmental Data ManagementData GovernanceMetadata ManagementAnalytical Data Validation

Tech Stack

Tools & technologies

CloudETLOraclePythonSQLTableau

About the role

Key responsibilities & impact

Oversee maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects
Drive data generation, storage, and processing initiatives while ensuring the implementation of effective data management solutions and best practices
Maintain databases and 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
Responsible for maintenance of data pipelines to support data analysis and reporting
Analyze complex issues and recommend solutions that improve data storage 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
Demonstrate strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions
Demonstrate strong knowledge of API integration to support data access, collection, distribution, transformation, and ELT 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 with environmental software implementation in a consulting / O&G environment
Knowledge in one or more EDM software package(s) such as Earthsoft EQuIS Suite (Professional, Enterprise, EnviroInsite, etc.) and Locus EIM strongly preferred
Experience in environmental data management, chemistry, analytical data validation, environmental data analysis and/or visualization
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 Suite skills, including the Power Platform, with proficiency in data analysis, automation, and reporting
Understanding of data quality, data governance, and metadata management
Commitment to working in a collaborative, team environment

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