AI SCORE 8.5 / 10

Remote Senior Data Engineer - Join a Growing Team

$120K–$140K/year

Python•Apache Airflow•Snowflake•SQL•PostgreSQL•AWS•Google Cloud

About the Role

Join our team as a Remote Senior Data Engineer and contribute to innovative projects while enjoying the flexibility of remote work. At Oowlish Technology, you will collaborate with top-tier clients from the United States and Europe, making a significant impact in the software development industry.

What You'll Do

Design, implement, and maintain scalable data pipelines and infrastructure.
Collaborate with leadership, DevOps, research, and customer support to optimize data flows.
Develop ETL processes and ensure data readiness for analytics.
Work independently as the primary data engineer, taking ownership of solutions.
Adapt to shifting priorities in a dynamic startup environment.

Requirements

5+ years of experience in data engineering or similar roles.
Advanced programming skills in Python.
Hands-on experience with Apache Airflow (MWAA is a plus).
Experience with Snowflake and strong SQL skills.
Ability to work independently and communicate effectively across teams.

Nice to Have

Experience with PostgreSQL or other relational databases.
Familiarity with cloud platforms like AWS and Google Cloud.
Knowledge of monitoring and logging tools.
Understanding of data quality and observability best practices.

What We Offer

Competitive compensation based on experience.
Career growth opportunities within the company.
International project exposure.
Oowlish English Program for technical and conversational skills.
Health and fitness programs.
Engaging games and competitions.

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 while enjoying a flexible work environment and competitive compensation.

Salary Range

Required

0/1

Optional

0/1

Bonus

0/1

Who Will Succeed Here

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Proficient in Python and experienced in building data pipelines using Apache Airflow, demonstrating the ability to create complex workflows that automate data processing and ETL tasks.

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Strong familiarity with cloud platforms, particularly AWS and Google Cloud, allowing for effective deployment and management of scalable data solutions in a remote work environment.

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Expertise in SQL and experience with Snowflake and PostgreSQL, showcasing a deep understanding of database management and optimization techniques necessary for handling large datasets.

Learning Resources

→Python for Data Engineeringcourse

→Building Data Pipelines with Apache Airflowarticle

→Snowflake Documentationguide

Career Path

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

Market Overview

Market Size 2024

$45B

Annual Growth

12.5%

AI Adoption

55%

Investment

+40%

Labour Demand

+30%

Avg Salary

$130K

Skills & Requirements

Required

PythonApache AirflowSnowflake

Growing in Demand

Machine LearningData WarehousingData Visualization

Declining

MapReduceHadoop

Domain Trends

Increased Adoption of Cloud Data Platforms

Organizations are migrating to cloud-based data solutions like Snowflake and Google Cloud, with a 35% increase in adoption rates in the past year.

Rise of Automated Data Pipelines

The use of orchestration tools like Apache Airflow is growing, with 50% of companies reporting increased efficiency in data workflows.

Focus on Real-Time Data Processing

Real-time analytics is becoming essential, with 60% of data engineers prioritizing technologies that support streaming data capabilities.

Industry News

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