About the Role
We are seeking a Senior Data Engineer - Remote to join our innovative team at Trust Technology Solutions. In this role, you will leverage your expertise in data engineering to design and implement robust data solutions that drive business insights and enhance decision-making processes.
What You'll Do
- Develop and maintain scalable data pipelines using Python and SQL to support data analytics and reporting.
- Design and implement data models and architectures that optimize data storage and retrieval.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Utilize Azure DevOps and Microsoft Fabric for continuous integration and deployment of data solutions.
- Implement ETL processes to ensure data quality and integrity across various platforms.
- Work with AWS and Snowflake to manage cloud data infrastructure and big data technologies.
- Participate in data governance initiatives to ensure compliance with data privacy regulations.
- Mentor junior data engineers and contribute to team knowledge sharing.
Requirements
- 5+ years of experience as a Data Engineer or similar role.
- Proficiency in SQL, Python, and data modeling techniques.
- Experience with cloud platforms such as Azure and AWS.
- Strong understanding of data architecture and DataOps practices.
- Familiarity with big data technologies and tools.
Nice to Have
- Experience with Snowflake and Microsoft Fabric.
- Knowledge of data visualization tools.
- Certifications in cloud technologies.
What We Offer
- Competitive salary ranging from $140,000 to $180,000 per year.
- Comprehensive medical, dental, and vision insurance.
- Flexible benefits plan to suit your needs.
- 401k profit-sharing plan to secure your future.
- Voluntary benefits including life and disability insurance.
- Remote work flexibility with a supportive team environment.
This Senior Data Engineer - Remote position offers a competitive salary and comprehensive benefits, making it an attractive opportunity for experienced data professionals.
Who Will Succeed Here
Expert in Python and SQL with a strong focus on building and optimizing ETL processes, ensuring data quality and performance across Azure and AWS environments.
Self-motivated and disciplined remote worker, capable of managing time effectively while collaborating with cross-functional teams to drive data-driven solutions.
Proven experience in DataOps and Data Modeling, with a mindset geared towards continuous improvement and automation of data pipelines to enhance operational efficiency.
Learning Resources
Career Path
Market Overview
Skills & Requirements
Domain Trends
Industry News
Loading latest industry news...
Finding relevant articles from the last 6 months