Talantix.io
Jobgether•11.03.26
AI SCORE 8.2

Remote Data Engineer - Cloud Solutions

$90K–$120K/year
RemoteCloud Solutions
Python•SQL•PySpark•Databricks•Apache Spark•Azure•AWS•ETL•Data Lake

About the Role

We are currently looking for a Remote Data Engineer to join our dynamic team. In this role, you will design and implement scalable data solutions that empower the business to make data-driven decisions. As a Remote Data Engineer, you will play a crucial role in developing data pipelines and working with cutting-edge technologies on cloud platforms.

What You'll Do

  • Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
  • Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
  • Work on cloud platforms (Azure, AWS) to build and manage data lakes and scalable architectures.
  • Utilize cloud services like Azure Data Factory and AWS Glue for data processing.
  • Use Databricks for big data processing and analytics.
  • Leverage Apache Spark for distributed computing and data transformations.
  • Create and manage SQL-based data solutions ensuring scalability and performance.
  • Develop and enforce data quality checks and validations.
  • Collaborate with cross-functional teams to deliver impactful data solutions.
  • Leverage CI/CD pipelines to streamline development and deployment of workflows.
  • Maintain clear documentation for data workflows and optimize data systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  • 3–6 years of experience in Data Engineering or related roles.
  • Hands-on experience with big data processing frameworks and data lakes.
  • Proficiency in Python, SQL, and PySpark for data manipulation.
  • Experience with Databricks and Apache Spark.
  • Knowledge of cloud platforms like Azure and AWS.
  • Familiarity with ETL tools (Alteryx is a plus).
  • Strong understanding of distributed systems and big data technologies.
  • Basic understanding of DevOps principles and CI/CD pipelines.
  • Hands-on experience with Git, Jenkins, or Azure DevOps.

Nice to Have

  • Experience with data visualization tools (Tableau, Power BI).
  • Knowledge of machine learning concepts.
  • Familiarity with data governance and compliance frameworks.

What We Offer

  • Flexible remote working conditions.
  • Opportunities for professional growth and training.
  • Collaborative and inclusive company culture.
  • Access to modern technologies and tools.
  • Health and wellness benefits.
  • Work-life balance.
  • Participation in innovative projects.
  • Dynamic and fast-paced working environment.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.2 of 10

This Remote Data Engineer position at Jobgether offers a unique opportunity to work with cutting-edge technologies in a flexible remote environment. The role emphasizes collaboration and innovation, making it an attractive option for skilled data professionals.

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

About Jobgether

Explore Jobgether careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to enhance your job search experience. Uncover exciting career opportunities at Jobgether and take the next step towards your dream role today. Join us and shape your future in 2026.

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in Python and SQL with hands-on experience in building ETL pipelines using PySpark and Databricks, demonstrating the ability to handle large datasets efficiently.

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Self-motivated and disciplined, with strong time management skills to thrive in a fully remote work environment while collaborating with cross-functional teams across different time zones.

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Experience in cloud platforms like Azure and AWS, with a mindset geared towards continuous improvement and optimization of data solutions, showcasing an understanding of Data Lake architectures.

Learning Resources

→Python for Data Engineeringcourse
→Building ETL Pipelines with Pythonarticle
→Getting Started with Apache Spark on Databricksguide

Career Path

Remote Data Engineer - Cloud Solutions(Now)→Data Engineering Team Lead(1-2 years)→Cloud Data Architect(3-5 years)

Market Overview

Market Size 2024
$20.6B
Annual Growth
27.5%
AI Adoption
58%
Investment
+45%
Labour Demand
+35%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLPySpark
Growing in Demand
Machine LearningData Visualization (Tableau, Power BI)Cloud Architecture (AWS, Azure)
Declining
HadoopTraditional ETL Tools (Informatica, Talend)

Domain Trends

Rise of Serverless Architectures
Serverless computing is becoming increasingly popular, with 40% of companies adopting serverless solutions to reduce costs and improve scalability.
Increased Focus on Data Privacy
With regulations like GDPR and CCPA, 70% of organizations are prioritizing data governance and compliance in their data engineering practices.
Integration of AI in Data Processing
AI is being integrated into data processing pipelines, with 50% of data engineers using AI tools to enhance data quality and automate workflows.

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