AI SCORE 8.5

Remote Senior Data Engineer - AWS & Data Modeling

$120K–$150K/year

About the Role

Join our team as a Remote Senior Data Engineer at Oowlish Technology, one of Latin America's rapidly expanding software development companies. In this role, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact. We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs.

What You'll Do

  • Design and implement enterprise data models to support a mature and evolving data ecosystem.
  • Optimize data models and maintain event-driven pipelines in a cloud-native architecture.
  • Collaborate with infrastructure teams to ensure seamless data integration and API support.
  • Work with large-scale data environments, ensuring performance and scalability across a modern AWS data stack.
  • Utilize Snowflake and Aurora Postgres for data storage and management.
  • Develop data pipelines using Python and AWS data services such as Glue, Lambda, and DMS.
  • Implement CI/CD practices using GitHub Actions to streamline deployment processes.
  • Support enterprise-scale data platforms and maintain production-grade systems.

Requirements

  • 6+ years of experience in Data Engineering with a focus on enterprise data modeling.
  • Strong experience with Snowflake and Aurora Postgres.
  • Advanced SQL and data modeling expertise (logical & physical design).
  • Hands-on experience with AWS data services (Glue, Lambda, DMS, EventBridge).
  • Strong Python experience for developing data pipelines.
  • Experience supporting enterprise-scale data platforms.
  • Familiarity with CI/CD practices (GitHub Actions).
  • Comfortable working in the ET time zone.

Nice to Have

  • Experience working with Terraform.
  • Exposure to artifact management and infrastructure-as-code best practices.
  • Experience in performance tuning at scale.
  • Experience implementing automated data quality frameworks.
  • Prior experience in enterprise or large distributed systems.

What We Offer

  • Home office setup.
  • Competitive compensation based on experience.
  • Career plans for extensive growth within the company.
  • International projects with diverse teams.
  • Oowlish English Program (Technical and Conversational).
  • Oowlish Fitness with Total Pass.
  • Games and competitions for team building.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Engineer position at Oowlish Technology offers a unique opportunity to work on international projects with a competitive salary and a strong focus on professional growth.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in AWS services such as S3, Lambda, and EC2, with hands-on experience in building scalable data architectures and data pipelines using Snowflake and Aurora Postgres.

Strong understanding of data modeling techniques and best practices, with the ability to translate business requirements into efficient data models while working independently in a fully remote environment.

Experience in implementing CI/CD practices using GitHub Actions, demonstrating a proactive mindset for automating deployment processes and improving data engineering workflows.

Learning Resources

AWS Data Engineering on Udemycourse

Career Path

Remote Senior Data Engineer - AWS & Data Modeling(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

AWS Market Size 2024
$150B
Annual Growth of AWS Services
21.5%
AI Adoption in Data Engineering
45%
Investment in Cloud Data Solutions
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
AWSSnowflakeAurora Postgres
Growing in Demand
Apache KafkaMachine LearningData Warehousing
Declining
HadoopTraditional ETL Tools

Domain Trends

Shift to Serverless Architectures
Over 60% of new AWS projects are adopting serverless technologies, reducing infrastructure management overhead.
Increased Demand for Real-time Data Processing
Real-time data processing tools are seeing a 40% increase in adoption as businesses focus on agility and immediate insights.
Focus on Data Governance and Compliance
With 70% of organizations prioritizing data governance, skills in compliance and data security are becoming essential in data engineering roles.

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