Talantix.io
Comfrt•03.03.26
AI SCORE 8.5

Senior Data Engineer - Remote Position

$120K–$150K/year
RemoteData Engineering
SQL•Python•AWS•GCP•Azure•Apache Airflow•Data Warehousing•Machine Learning

About the Role

We are seeking a Senior Data Engineer - Remote to join our innovative team. In this role, you will leverage your expertise in data engineering to build robust data pipelines and architectures that support our mission of enhancing comfort and mental wellness. As a Senior Data Engineer - Remote, you will collaborate with cross-functional teams to ensure data integrity and accessibility, driving impactful insights for our business.

What You'll Do

  • Design and implement scalable data architectures and ETL processes using technologies such as AWS, GCP, and Azure.
  • Develop and maintain data pipelines with Apache Airflow and SQL to support data-driven decision-making.
  • Collaborate with data scientists and analysts to optimize data models for machine learning applications.
  • Ensure data quality and governance across all data sources and systems.
  • Participate in code reviews and mentor junior data engineers to foster a culture of continuous improvement.

Requirements

  • 5+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL, Python, and data warehousing concepts.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with data pipeline orchestration tools like Apache Airflow.
  • Ability to work independently in a fully remote environment.

Nice to Have

  • Experience with Databricks and Google BigQuery.
  • Knowledge of microservices architecture and full-stack development.
  • Background in business analysis or eCommerce.

What We Offer

  • Be part of a purpose-driven company shaping the future of comfort and mental wellness.
  • Work in a supportive, creative environment with generous paid time off and health insurance.
  • 5% 401k match and discounts on Comfrt products.
  • Fully remote environment with collaborative support.
Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to work in a fully remote environment while contributing to a purpose-driven company. With competitive pay and generous benefits, it's an attractive position for experienced data professionals.

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

About Comfrt

Explore Comfrt careers in 2026 and discover a range of job openings, from remote and hybrid to office roles. Utilize our advanced filters to refine your search, track your applications seamlessly, and gain valuable insights about the company. Unlock exciting career opportunities at Comfrt and take the next step in your professional journey with us today!

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in designing and optimizing ETL processes using Apache Airflow and SQL, with a proven track record of managing data pipelines in cloud environments like AWS, GCP, or Azure.

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Self-motivated and disciplined, capable of working effectively in a remote setting while managing multiple projects and deadlines, ensuring timely delivery of data solutions.

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Strong analytical mindset with experience in applying machine learning techniques for data analysis, enabling data-driven decision-making and insights that align with business goals.

Learning Resources

→SQL for Data Sciencecourse
→Data Warehousing on AWSguide
→Apache Airflow Documentationarticle

Career Path

Senior Data Engineer(Now)→Lead Data Engineer(2-4 years)→Director of Data Engineering(5-7 years)

Market Overview

SQL Market Size 2024
$12.5B
Annual Growth
8.4%
AI Adoption in Data Engineering
45%
Investment in Data Solutions
+30%
Labour Demand for Data Engineers
+25%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
SQLPythonAWS
Growing in Demand
Apache SparkData Visualization (Tableau, Power BI)Data Governance
Declining
Traditional ETL Tools (e.g., Informatica)On-Premises Data Warehousing Solutions

Domain Trends

Increased Adoption of Cloud Data Warehousing
By 2025, 70% of organizations will have migrated to cloud data warehousing solutions, up from 40% in 2023.
Rise of Real-Time Data Processing
The demand for real-time data processing capabilities is expected to grow by 50% by 2025, driven by the need for instant data insights.
Integration of AI and Machine Learning in Data Pipelines
Approximately 60% of companies are integrating machine learning models into their data pipelines, enhancing predictive analytics capabilities.

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