Senior Data Engineer - Velvetech

Velvetech is an American global software development company headquartered in Miami, FL, and with an office in Chicago, IL. Velvetech has its developers strategically distributed in 10+ global technical job markets to deliver the best in class software engineering and exceptional client services.

We have 20+ years of experience in software and hardware development for clients all around the world, especially for US clients. As an official Microsoft Gold Partner, our company is listed in the top 5 software development companies in Illinois, USA.

US clients are leading trading and financial organizations, insurance companies, large healthcare associations, pharmaceutical and energy companies, equipment manufacturers, hi-tech startups, etc.

Areas of expertise are consulting, development, implementation, and support of software solutions. We implement modern backend solutions that support microservices architecture with the following technologies: .NET Core, Node.js, Java, SQL Server, Postgre

SQL, Mongo

DB, Redis, Rabbit

MQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using Git Lab CI or Team City.

Principles are based on Agile Methodology, Scrum and Kanban. Various projects coded in Git Lab or Git Hub are built with multiple coordinated teams, collaborating via Jira, Confluence, MS Teams, and Slack. Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI.

We are looking for a Senior Data Engineer with deep expertise in Python and SQL. You will design, implement, and optimize data pipelines and ETL processes, ensuring high performance, scalability, and reliability. This is a fully remote position with flexible working conditions.

• Develop and optimize ETL workflows using Python and SQL.
• Design and implement scalable data pipelines for processing various data sources.
• Work with relational databases (e.g., Postgre
  
  SQL, Oracle) to ensure efficient data storage and retrieval.
• Optimize SQL queries and Python scripts for performance and maintainability.
• Implement robust error handling, logging, and monitoring for data processing pipelines.
• Collaborate with cross-functional teams to integrate and manage data sources.

• 5+ years of experience in Data Engineering.
• Expert-level Python and SQL skills – ability to write efficient, scalable, and maintainable code.
• Strong experience in designing ETL processes and working with large datasets.
• Solid understanding of database performance tuning and query optimization.
• Experience with data modeling and schema design.
• Familiarity with cloud storage solutions (Azure, AWS, or GCP).
• Strong problem-solving skills and ability to work independently.
• Nice to have:
  Experience with PySpark, orchestrators and knowledge of CI/CD for deployment process automation.

We are a friendly team of 150+ professionals where everyone is able to achieve high results and grows professionally not only due to their own knowledge and skills but also with the support of colleagues. Values that we highly appreciate are high performance, responsibility, respect, and loyalty.