Junior Data Engineer & Analyst

Sullivan Environmental Services Inc•Galveston, TX

20h•Onsite

About The Position

The Junior Data Engineer supports the design, development, and maintenance of the data pipelines, integrations, and data models that power reporting and analytics across our construction and disaster-recovery programs. Working alongside senior data engineers, analysts, and IT staff, you will move data from source systems—project management, ERP/accounting, timekeeping, field-capture, and government reporting platforms—into clean, well-structured datasets that leaders and clients can trust. This is a hands-on, growth-oriented role ideal for an early-career engineer who wants to build real production data systems in a mission-driven environment.

Requirements

Bachelor's degree in Computer Science, Data/Information Systems, Engineering, Mathematics, or a related field—or equivalent practical experience or relevant certifications.
0–2 years of experience (including internships, co-ops, or academic projects) working with data pipelines, databases, or analytics.
Working knowledge of SQL, including joins, aggregations, and basic query optimization.
Proficiency in Python for data manipulation and scripting (e.g., pandas, requests, or similar libraries).
Familiarity with consuming REST APIs and working with structured data formats such as JSON and CSV.
Exposure to at least one cloud data platform—Microsoft Azure preferred (Azure Data Factory, Azure SQL, Synapse/Microsoft Fabric)—with willingness to grow deep expertise in the Microsoft/Azure ecosystem.
Strong problem-solving skills, attention to detail, and a willingness to learn.
Clear written and verbal communication and the ability to collaborate across technical and non-technical teams.
Ability to work on-site at the Galveston, Texas headquarters.
Must be able to pass a background check; U.S. work authorization required (some government projects may require the ability to obtain a security clearance).

Nice To Haves

Hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse, or Power BI.
Familiarity with version control (Git) and basic CI/CD concepts.
Experience with data warehousing concepts and dimensional (star-schema) modeling.
Exposure to construction, engineering, ERP/accounting (e.g., Sage, Viewpoint/Vista), or project-management systems (e.g., Procore), or to government/grant reporting.
Interest in geospatial data (GIS) given the field- and location-based nature of our projects.
Relevant certifications (e.g., Microsoft Azure Data Fundamentals / DP-900, DP-203).

Responsibilities

Build & maintain pipelines: Develop, test, and maintain ETL/ELT data pipelines that ingest data from internal systems and third-party sources into our data warehouse/lakehouse, under the guidance of senior engineers.
Integrate via APIs: Connect to and pull data from REST APIs and vendor platforms (project management, financial, HR/timekeeping, and government reporting systems), handling authentication, pagination, and scheduled refreshes.
Write & tune SQL: Author and optimize SQL queries, stored procedures, and views to transform, join, and aggregate data for downstream reporting.
Develop in Python: Write clean, reusable Python for data ingestion, transformation, validation, and automation of routine data tasks.
Support the Microsoft/Azure stack: Help build and operate pipelines and datasets using tools such as Azure Data Factory, Azure SQL / SQL Server, Azure Storage, and Microsoft Fabric/Synapse, feeding Power BI reporting.
Ensure data quality: Implement validation checks, monitor pipeline runs, troubleshoot failures, and help resolve data discrepancies so program and financial reporting stays accurate.
Model data for analytics: Assist in designing and maintaining dimensional models and reporting tables that reflect how projects, funding sources, cost codes, and geographies relate.
Document & collaborate: Maintain clear documentation of data sources, pipelines, and definitions; use version control (Git) and participate in code reviews.
Partner with the business: Work with project controls, accounting, program management, and compliance teams to understand data needs and support their reporting requirements.
Protect sensitive data: Follow security, privacy, and compliance practices appropriate to government contracting and sensitive project data.