Remote Senior AWS Data Engineer — ETL, Data Lake & Cloud

Sequoia Connect; Anchorage (AK); On-site; USD 140,000 - 190,000; Full time

Job summary

Sequoia Connect is seeking a Senior AWS Data Engineer to design and maintain scalable ETL pipelines, data lakes, and data warehouses in a remote-friendly setting. You will implement AWS Glue, Redshift, Lambda, and other services, ensuring data quality and robust operational support across global teams.

You will contribute to API-based integrations, mentor teammates, and help drive cloud modernization initiatives with a focus on high-performance data processing and near real-time systems.

Qualifications

• 8-12 years of software development experience across the appropriate platform.
• Solid IT background and experience.
• Experience as an application developer for projects similar in scope and responsibility.
• Strong expertise in Python, PySpark, and SQL.
• Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
• Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
• ETL best practices, data quality, and operational support.
• Experience with APIs, JSON, and cloud-based data integration patterns.
• Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
• Experience with DynamoDB, EC2, ECS and Batch.
• Exposure to data migration and cloud modernization programs.
• Have a good understanding of performance engineering of code pipelines and near real time systems.
• Good understanding on Agents and MCP

Responsibilities

• Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
• Develop and manage workflows using Glue, Lambda, and Step Functions.
• Build event-driven integrations using SNS, SQS, and related AWS services.
• Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
• Write and tune high-performance SQL for complex transformations and reporting.
• Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
• Design and Support API-based and JSON-based integrations across internal and external systems.
• Troubleshoot operational issues, identify root causes, and implement corrective actions.
• Contribute to documentation, deployment automation, and engineering best practices.
• Collaborate with stakeholders and mentor junior team members where needed.

Skills

Python

PySpark

SQL

AWS services

APIs & JSON

CI/CD

GitLab

Terraform

DynamoDB

EC2 & ECS

Education

Degree holders for visa process

Tools

Glue

Redshift

S3

Athena

EMR

Lambda

Step Functions

SQS / SNS

CloudWatch / CloudTrail

Job description

Sequoia Connect is seeking a Senior AWS Data Engineer to design and maintain scalable ETL pipelines, data lakes, and data warehouses in a remote-friendly setting. You will implement AWS Glue, Redshift, Lambda, and other services, ensuring data quality and robust operational support across global teams.

You will contribute to API-based integrations, mentor teammates, and help drive cloud modernization initiatives with a focus on high-performance data processing and near real-time systems.