Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Create, develop, and sustain dependable data pipelines that facilitate the movement of information among EVS applications, databases, cloud services, and analytical platforms.

• Establish integrations between PostgreSQL databases, AWS services, internal software applications, and external systems.

• Construct and maintain data ingestion pipelines, incorporating embedding generation workflows for AI-driven applications.

• Apply testing, monitoring, version control, and observability practices to ensure the reliability and maintainability of data pipelines.

• Collaborate with Full Stack and AI Engineers to design scalable platform architecture and data integrations.

• Influence data architecture decisions, including schema design, normalization, indexing strategies, and data access patterns.

• Assist in supporting cloud-based data infrastructure, deployments, and initiatives to enhance platform reliability.

• Assess technical methodologies and propose scalable, maintainable data solutions.

• Execute data quality validation, governance, and monitoring within engineering systems.

• Engage in architecture reviews, code reviews, and technical discussions while helping to establish data engineering standards and best practices.

• Work collaboratively across the innovation team to bolster evolving data, analytics, and AI initiatives.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical discipline.

• Over 3 years of professional experience in Data Engineering, Backend Software Development, or a similar technical position.

• Proven experience in designing, building, and maintaining production data pipelines and system integrations.

• Strong expertise with PostgreSQL or other relational database systems, including schema design, query optimization, and data modeling.

• Advanced programming skills in Python and SQL for data engineering and transformation workflows.

• Experience with data processing libraries like Pandas, Polars, or similar frameworks.

• Practical experience with AWS cloud services such as S3, EC2, IAM, Lambda, RDS, or equivalent cloud technologies.

• Familiarity with Git, GitHub, CI/CD pipelines, and contemporary software development best practices.

• Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across technical teams.

• Experience with Infrastructure-as-Code tools like Terraform or AWS CDK is preferred.

• Knowledge of orchestration tools such as Airflow, AWS Step Functions, Glue, or EventBridge is advantageous.

• Familiarity with dbt, Snowflake, Redshift, BigQuery, or comparable modern data platforms is preferred.

• Understanding of vector databases, embedding pipelines, RAG architectures, or AI data infrastructure is beneficial.

• Experience with PostGIS, geospatial data, Docker, containerized applications, or event-driven architectures is a plus.

• Background in engineering, AEC, utilities, renewable energy, or technical consulting environments is advantageous.

🏝️ 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