EA Engineering, Science, and Technology, Inc., PBC · 10 hours ago
Data Engineer
EA Engineering is a company that values collaboration and curiosity to tackle complex environmental challenges. The Data Engineer role focuses on designing and optimizing data solutions to ensure high-quality data availability for analytics and reporting.
Environmental ConsultingInfrastructureNatural Resources
Responsibilities
Build data architecture and storage solutions, including data lake houses, data lakes, data warehouse, and data marts to support analytics and reporting
Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data
Design graph database models and schemas, and develop and implement graph database solutions
Partner with BI and AI/ML teams to expose trusted datasets and features
Develop data reliability, efficiency, and quality checks and processes
Contribute to data governance practices including cataloging, lineage, classification, and access control
Administer testing and troubleshooting related to performance, reliability, and scalability
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or related field
5+ years of experience in data engineering or AI/ML production systems
Technical Skills: SQL, Python/Scala, ETL/ELT tools, Azure Cloud Platforms, Data Warehousing, Data Modeling, API Integration
Strong understanding of data modeling, warehousing, and data lake architecture
Experience building data pipelines, managing data lakes, working with structured & unstructured data
Experience in Graph data modeling, graph databases (e.g., Neo4j, MongoDB) and Proficiency in graph query languages
Knowledge of data formats (Parquet, Avro, JSON, Delta Lake)
Strong understanding of data modeling, warehousing, and data lake architecture
Excellent communication and collaboration skills
Strong problem‑solving and analytical thinking
Ability to work in cross-functional teams and translate technical concepts for non‑technical audiences
Attention to detail and focus on delivering reliable, scalable data solutions
Preferred
Hands-on experience with modern data pipeline orchestration tools (Azure Data Factory)
Working knowledge of Azure data and AI services (Azure Data Lake, Azure Machine Learning, Azure Cognitive Services, Azure OpenAI)
Knowledge of records management practices and demonstrated skills in training and process improvement
Experience with electronic records/document management systems (ERMS/EDMS) such as SharePoint, OpenText, or equivalent platforms
Benefits
401k with Employee Stock Ownership Plan (ESOP)
Low deductible health coverage for you and your family through Medical, Dental and Vision plans
Generous paid-time-off policy
Paid volunteer time
Tuition reimbursement
Professional Development
Healthcare and Dependent Care Flexible Spending Accounts
Employee wellness program
Company
EA Engineering, Science, and Technology, Inc., PBC
EA is a 100% Employee Stock Ownership Plan (ESOP)-owned public benefit corporation that provides environmental, compliance, natural resources, and infrastructure engineering and management solutions to a wide range of public and private sector clients.
H1B Sponsorship
EA Engineering, Science, and Technology, Inc., PBC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (4)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Recent News
Washington Technology
2025-02-25
2024-04-26
The Business Journals
2024-04-09
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