Data Manager, Oil, Gas, Remediation

This is a fully remote position, open to applicants in Arizona.

📋 Description

• Supervise the upkeep of data infrastructure and architecture for Oil, Gas, and Remediation projects.

• Lead initiatives related to data generation, storage, and processing.

• Ensure the application of efficient data management solutions and best practices.

• Manage databases and data processing systems.

• Guarantee that data is accessible, reliable, secure, and processed efficiently.

• Integrate, optimize, and oversee multiple large-scale data sources.

• Potentially develop automated reporting systems and data solutions.

• Provide software solutions that facilitate data movement from its source to internal databases.

• Responsible for the upkeep of data pipelines that support data analysis and reporting.

• Analyze intricate issues and propose solutions that enhance data storage processes and methodologies.

• Utilize judgment beyond defined parameters and precedents to make decisions and address business and technical challenges.

• Accountable for the outcomes of assigned projects and processes.

• Exhibit strong proficiency in data programming languages.

• Show extensive knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions.

• Demonstrate strong understanding of API integration to facilitate data access, collection, distribution, transformation, and ELT processes.

• Apply algorithmic and statistical methods, data processing tools, and AI-driven approaches to enhance efficient data consumption and analysis.

⛳️ Requirements

• BA/BS in Computer Science, Information Science, Data Engineering, or a related field with 6 years of relevant experience or demonstrated equivalency of experience and/or education.

• Experience with environmental software implementation in a consulting or Oil & Gas environment.

• Strong preference for knowledge in one or more EDM software packages such as Earthsoft EQuIS Suite and Locus EIM.

• Familiarity with environmental data management, chemistry, analytical data validation, environmental data analysis, and/or visualization.

• Background in data engineering, business intelligence (BI), or analytics development.

• Strong proficiency in SQL and familiarity with relational and analytical databases.

• Proficiency in Python or a similar scripting language.

• Experience in developing interactive dashboards and data visualizations using Power BI, Tableau, Looker, or similar business intelligence tools.

• Experience in 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 skills in Microsoft Suite, including the Power Platform.

• Understanding of data quality, data governance, and metadata management.

🏝️ Benefits

• Medical

• Dental

• Vision

• Life

• AD&D

• Disability benefits

• Paid time off

• Leaves of absence

• 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