Environmental Data Management Specialist II

About the role

HGL is seeking an Environmental Data Management Specialist II with at least two years of experience supporting environmental data management, data quality review, and environmental project execution. The role includes structured mentorship and training from senior data management staff to support technical skill development and career progression.

Responsibilities

• Manage, process, and organize environmental data from field investigations and laboratory analyses.
• Load, review, and maintain data in Locus EIM, EQuIS, EnviroData, or similar environmental data management platforms.
• Support preparation, review, and conversion of laboratory and subcontractor Electronic Data Deliverables (EDDs).
• Perform routine data QA/QC checks to identify completeness, formatting, validation, and consistency issues.
• Auxiliary data transformation using tools such as Access, Excel, Power Query, SQL, or basic scripting.
• Support preparation of regulatory-compliant data deliverables for federal, state, and client-specific databases.
• Work with Project Managers, Environmental Scientists, Chemists, GIS Staff, and Senior Data Managers to support site investigation and remediation projects.
• Auxiliary sample results tracking, field forms, chain-of-custody records, lab reports, and related project documentation.
• Assist with troubleshooting data loading, formatting, and validation issues under the guidance of senior staff.

Requirements

• A minimum of 2 years of professional experience in environmental data management, environmental consulting, laboratory data management, or a related technical role.
• A high school diploma or equivalent.
• Hands-on experience with at least one environmental data management system, such as Locus EIM, EQuIS, EnviroData, or similar platform.
• Familiarity with relational database concepts, data schemas, and data traceability workflows.
• Familiarity with environmental data types, including soil, groundwater, surface water, sediment, vapor, and/or air analytical results.
• Experience reviewing laboratory analytical data and working with EDDs.
• Working knowledge of Excel and Access or similar data management tools.
• Ability to investigate and resolve discrepancies between field records, laboratory deliverables, database records, and regulatory exports.
• Strong organizational, communication, and problem-solving skills.
• Ability to work independently and collaboratively on multiple projects and deadlines.

Qualifications

• Bachelor’s degree in Environmental Science, Data Science, Computer Science, Engineering, Chemistry, Geology, or a related field.
• Field experience supporting environmental sampling, site investigation, remediation, or monitoring programs.
• Exposure to cloud-based data platforms, APIs, or enterprise data environments.
• Experience writing and troubleshooting queries for environmental datasets with SQL Server Management Studio, SQL queries, Power Query, or basic Python scripting.
• Experience supporting federal environmental remediation projects for EPA, DoD, Navy, Air Force, or similar clients.
• Familiarity with regulatory data systems such as EPA EQuIS/Scribe, Navy NIRIS, California GeoTracker, Air Force ERPIMS, or other state/federal databases.
• Experience with data visualization, reporting, GIS, or dashboard tools.

Physical & Environmental Requirements

• Prolonged sitting up to 70% of the time; repetitive hand motions (typing, tool use, etc.); viewing computer screens for extended periods; ability to interpret and analyze visual data (maps, graphs, warning indicators, etc.); analyzing and synthesizing data; complex problem solving and decision making; reading and interpreting technical documents or regulations; writing reports, proposals, or technical documentation; coordinating multiple priorities; managing competing deadlines and shifting priorities; Communicating effectively with clients, team members, and stakeholders.

Details

• Work Schedule: HGL office work is dictated by a 5-day work week Monday through Friday.
• Office Type: Fully in-office five days per week.
• Travel: 10%; travel unexpected unless to attend conferences or training.