Data Engineer

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🕒 June 26

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EVS, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1979

🏗️ Construction

💼 Consulting

📦 Logistics

Construction • Consulting • Logistics

EVS, Inc. is a national engineering firm that provides professional engineering solutions for clean energy projects, specializing in utility-scale solar plants, substations, and energy storage facilities. Founded in 1979, EVS delivers in-house civil, electrical, geotechnical, structural engineering and land surveying services, supporting clients with a one-stop-shop approach, deep industry experience (28+ GW of solar and battery storage, 6+ GWh battery storage), and strong customer service for utility-scale renewable energy development.

📋 Description

• Design, build, and maintain reliable data pipelines that move information between EVS applications, databases, cloud services, and analytical platforms • Develop integrations between PostgreSQL databases, AWS services, internal software applications, and third-party systems • Build and support data ingestion pipelines, including embedding generation workflows for AI-enabled applications • Implement testing, monitoring, version control, and observability practices to ensure reliable and maintainable data pipelines • Partner with Full Stack and AI Engineers to develop scalable platform architecture and data integrations • Contribute to data architecture decisions, including schema design, normalization, indexing strategies, and data access patterns • Support cloud-based data infrastructure, deployments, and platform reliability initiatives • Evaluate technical approaches and recommend scalable, maintainable data solutions • Implement data quality validation, governance, and monitoring across engineering systems • Participate in architecture reviews, code reviews, and technical discussions while helping establish data engineering standards and best practices • Collaborate across the innovation team to support evolving data, analytics, and AI initiatives

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field • 3+ years of professional experience in Data Engineering, Backend Software Development, or a related technical role • Experience designing, building, and supporting production data pipelines and system integrations • Strong proficiency with PostgreSQL or other relational database platforms, including schema design, query optimization, and data modeling • Advanced Python and SQL programming skills for data engineering and transformation workflows • Experience with data processing libraries such as Pandas, Polars, or similar frameworks • Hands-on experience with AWS cloud services including S3, EC2, IAM, Lambda, RDS, or comparable cloud technologies • Experience with Git, GitHub, CI/CD pipelines, and modern software development best practices • Strong analytical, problem-solving, and communication skills with the ability to collaborate across technical teams • Experience with Infrastructure-as-Code tools such as Terraform or AWS CDK is preferred • Familiarity with orchestration tools such as Airflow, AWS Step Functions, Glue, or EventBridge is a plus • Experience with dbt, Snowflake, Redshift, BigQuery, or similar modern data platforms is preferred • Knowledge of vector databases, embedding pipelines, RAG architectures, or AI data infrastructure is a plus • Experience working with PostGIS, geospatial data, Docker, containerized applications, or event-driven architectures is beneficial • Experience within engineering, AEC, utilities, renewable energy, or technical consulting environments is a plus

🏖️ Benefits

• Health Insurance (Medical through United Healthcare/UMR) • Dental and Vision Insurance • STD (Short-Term Disability) and LTD (Long-Term Disability) Insurance • Life Insurance • EAP (Employee Assistance Program) • Paid Time Off • 401k Match • Choice Benefit • Flexible Work Time • Performance-Based Bonus • Point-Based Recognition • Parental Benefits • Referral Bonus • Certification Bonus • Hybrid / Remote Culture