Senior Data Engineer

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

📋 Description

• Design, construct, and manage scalable data platforms that support mission-critical applications, analytics, reporting, and AI-driven solutions.

• Develop robust, cloud-native data pipelines that ingest, transform, secure, and deliver operational data.

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

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

• Create enterprise-scale data ingestion and transformation pipelines.

• Establish cloud-native data platforms that support analytics and operational workloads.

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

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

• Develop secure and scalable integrations between enterprise systems.

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

• Manage production data platforms with an emphasis on observability, testing, and automation.

• Continuously enhance engineering productivity through AI-assisted development and automation.

⛳️ 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 such as PostgreSQL, MySQL, and Aurora.

• Knowledge of NoSQL databases like DynamoDB, MongoDB, and other document databases.

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

• Proficient with cloud data warehouses including Snowflake, BigQuery, Redshift, or similar.

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

• Skilled in building event-driven and streaming data solutions.

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

• Experience with data orchestration tools such as Airflow, Prefect, or Dagster.

• Proficient in Git and modern CI/CD pipelines (Azure DevOps, GitHub Actions, or similar).

• Experience in creating highly available and scalable production systems.

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

• Experience in monitoring and operating production data platforms.

• Familiar with Apache Spark or distributed processing frameworks.

• Experience with Debezium, CDC, or change data capture architectures.

• Knowledge of Iceberg, Delta Lake, or modern lakehouse technologies.

• Experience with OpenSearch or Elasticsearch.

• Familiarity with supporting AI and machine learning data platforms.

• Experience in building feature stores or vector databases.

• Knowledge of document processing (OCR, Textract, PDF extraction).

• Experience in media, payroll, financial systems, or enterprise SaaS platforms.

• Familiarity with AI-assisted development tools such as Claude Code or GitHub Copilot.

🏝️ Benefits

• Medical

• Dental

• Vision

• PTO

• Health and wellness programs

• Employee discounts