Senior Data Engineer

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

📋 Description

• Design, develop, and manage scalable data platforms for mission-critical applications, analytics, reporting, and AI-driven solutions.

• Construct dependable, cloud-native data pipelines that ingest, transform, secure, and deliver operational data.

• Facilitate modern analytics, AI workloads, and real-time event processing across structured and semi-structured datasets.

• Collaborate effectively with software engineers, platform engineers, product teams, and data consumers.

• Utilize AI-assisted development tools to expedite delivery and enhance engineering productivity.

• Create enterprise-level data ingestion and transformation pipelines.

• Develop cloud-native data platforms that support analytics and operational tasks.

• Design real-time event-driven data processing solutions.

• Generate data models that support reporting, AI, and customer-facing applications.

• Establish secure and scalable integrations between enterprise systems.

• Automate monitoring, testing, and deployment pipelines for data infrastructure.

• Ensure the reliability and scalability of production pipelines along with trusted data.

• Enhance low-latency data movement, observability, testing, automation, and engineering practices.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.

• Over 5 years of experience in building production data platforms and pipelines.

• Proficient in Python development.

• Strong skills in SQL development and query optimization.

• Experience in designing and maintaining ETL/ELT pipelines.

• Familiarity with relational databases, including PostgreSQL, MySQL, and Aurora.

• Knowledge of NoSQL databases, including DynamoDB, MongoDB, and document databases.

• Experience in building data lakes and cloud-native data architectures.

• Proficient with Snowflake, BigQuery, Redshift, or similar cloud data warehousing solutions.

• Experience with AWS services, including S3, Lambda, EventBridge, DynamoDB, ECS/EKS, and IAM.

• Proven ability in building event-driven and streaming data solutions.

• Familiarity with Kafka, SNS/SQS, Kinesis, or similar messaging technologies.

• Experience with Airflow, Prefect, or Dagster.

• Proficiency in Git and modern CI/CD pipelines, including Azure DevOps or GitHub Actions.

• Experience in creating highly available, scalable production systems.

• Strong knowledge of data modeling, partitioning, indexing, and performance optimization.

• Experience in monitoring and operating production data platforms.

🏝️ Benefits

• Medical

• Dental

• Vision

• PTO

• Health and wellness programs

• Employee discounts