Data Engineer

🕒 April 30

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Perform

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

🤝 B2B

🏢 Enterprise

B2B • Enterprise

Perform is a nearshore software engineering services company founded in 2005 that provides remote development teams and technical staffing to help companies scale their applications and engineering capacity. The company recruits and places engineers across the US and Latin America, offering roles like Full Stack Developers and Data Engineers and managing payroll, benefits and operational logistics for remote staff. Perform focuses on long-term client engagements and helping businesses grow their products and teams through distributed, remote engineering talent.

📋 Description

• Design, build, and maintain scalable data pipelines and ETL processes to support business analytics. • Perform data manipulation, transformation, and cleansing to ensure accuracy and integrity. • Develop and maintain database solutions using SQL. • Implement and optimize data models and storage solutions in Snowflake. • Leverage AWS services for data storage, processing, and analytics. • Use Terraform to manage and deploy cloud resources as infrastructure-as-code. • Create and maintain reports and dashboards in Looker. • Collaborate with the team to continuously improve data engineering practices and processes.

🎯 Requirements

• Experience with Python programming for data engineering tasks. • Proficiency in data manipulation and transformation. • Strong SQL skills for database management and querying. • Hands-on experience with AWS. • Proficiency with Terraform for infrastructure automation. • Proficiency in Looker and Snowflake, with experience in Snowflake administration. • Strong understanding of data modeling principles and best practices. • Excellent English communication skills — vocal, extroverted, and confident in sharing ideas in collaborative settings.