Talantix.io
Oowlish Technology•02.03.26
AI SCORE 8.5

Remote Senior Data Engineer - AWS & Data Modeling Expert

$120K–$150K/year
RemoteSoftware Development
AWS•Snowflake•Python•SQL•Data Modeling•CI/CD•Glue•Lambda•EventBridge

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'll 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 and maintain AWS-based data platforms.
  • Optimize data models and maintain event-driven pipelines in a cloud-native architecture.
  • Work across data modeling, pipeline development, API data support, and infrastructure collaboration.
  • Ensure production-grade systems are maintained and improved for performance and scalability.
  • Utilize strong Python skills to develop data pipelines and support enterprise-scale data platforms.

Requirements

  • 6+ years of experience in Data Engineering.
  • 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 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 to allow for extensive growth in the company.
  • International projects with diverse teams.
  • Oowlish English Program (Technical and Conversational).
  • Oowlish Fitness with Total Pass.
  • Games and competitions to foster team spirit.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Engineer position at Oowlish Technology offers a competitive salary and the chance to work on international projects in a supportive environment.

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

Who Will Succeed Here

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Proficient in AWS services, especially Glue and Lambda, with a strong understanding of event-driven architecture using EventBridge, enabling effective data processing and integration.

→

Self-motivated and highly organized, thriving in a fully remote environment, able to manage time effectively while collaborating across different time zones with international clients.

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Extensive experience in data modeling techniques and SQL, with a mindset focused on optimizing data workflows and efficiency, ensuring that solutions are scalable and maintainable.

Learning Resources

→AWS Glue Documentationguide
→Data Modeling with Snowflakearticle
→AWS Certified Data Analytics - Specialty 2023course

Career Path

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

Market Overview

Market Size 2024
$50B
Annual Growth
22.5%
AI Adoption in Data Engineering
45%
Investment in Cloud Data Solutions
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$135K

Skills & Requirements

Required
AWSSnowflakePython
Growing in Demand
Apache AirflowDataOpsMachine Learning Integration
Declining
HadoopTraditional ETL Tools

Domain Trends

Increased Adoption of Serverless Architecture
Over 60% of companies are adopting serverless solutions like AWS Lambda for data processing, reducing operational costs and increasing scalability.
Focus on Real-time Data Processing
The demand for real-time data analytics is growing, with 70% of organizations prioritizing solutions like AWS Glue and EventBridge to enhance decision-making.
Shift Towards Automated Data Pipelines
Automation in data engineering is expected to increase by 50% in the next two years, driven by tools like AWS Glue and DataOps practices.

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