Data Engineer

COMPANY

Ready to join EVS? We're not just engineers and surveyors; we're the dream team of innovation! With forty-five years of electrifying excellence, we're the pioneers shaping the future of renewable energy. Our dynamic team excels in Civil and Electrical, with expertise in Solar PV & BESS, Power Studies, Transmission, and Substation, as well as Geotechnical, Structural Engineering, and Land Surveying. Rooted in Respect, Integrity, and Humility, we're on a mission to make every project a game-changer. With mentorship, hands-on action, and the wisdom of industry leaders, we're here to build lasting connections and deliver top-tier services. Join the party, let's light up the future!

DATA ENGINEER

Location: India | Remote
Schedule: Full-Time

EVS is seeking a Data Engineer to help build and scale the data platform that powers our engineering applications, AI initiatives, and internal software ecosystem. This is an exciting opportunity for a data professional who enjoys designing reliable data pipelines, integrating systems, and building the infrastructure that enables intelligent decision-making across the business.

As a Data Engineer, you'll work closely with our software, AI, and full stack development teams to develop scalable data solutions that support renewable energy engineering, analytics, and next-generation digital products.

WHAT YOU’LL DO

• 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

WHAT YOU’LL BRING

• 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

WHY EVS

• Help build the data foundation behind cutting-edge engineering software and AI-powered applications
• Work on meaningful projects that support renewable energy, utility infrastructure, and digital innovation
• Collaborate with a talented team of software engineers, AI developers, and technical experts solving complex real-world challenges
• Gain exposure to modern cloud platforms, scalable data architectures, and emerging AI technologies
• Join a fast-growing company where innovation, collaboration, and continuous learning are part of the culture
• Enjoy the flexibility of working remotely while contributing to projects with global impact
• Build your career with a team that values technical excellence, ownership, and professional growth

BENEFITS FOR FULL TIME EMPLOYEES

• 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

These benefits not only enhance the overall compensation package but also contribute to creating an inviting and supportive work environment. They play a crucial role in attracting and retaining top talent, promoting employee satisfaction, and nurturing a positive company culture that values its employees' well-being and contributions. 
 

EEO STATEMENT

EVS is an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, marital status, gender identity, national origin, disability, or status as a protected veteran.