Senior Data Engineer - Remote Data Pipelines & SQL/NoSQL

Perform; Los Angeles (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Perform is seeking a data engineer to support complex application development, aligning data models, integrations, and pipelines with established standards. You will design robust data models, stored procedures, and database objects for applications and reporting.

The role includes developing and maintaining SQL Server databases, working with MongoDB for NoSQL patterns, and participating in code reviews to ensure quality, performance, and consistency in an agile environment.

Qualifications

• BS in Computer Science and a minimum of five years of experience delivering production solutions.
• Minimum 5+ years working in Data Science.
• Strong verbal and written communication skills.
• Attention to detail, problem solving, simplicity, quality, and speed are highly valued.

Responsibilities

• Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with architectural standards.
• Collaborate with engineering teammates to design and build data models, stored procedures, and database objects for applications and reporting.
• Develop and maintain SQL Server databases, including schema design, indexing, query optimization, and stored procedures.
• Work with MongoDB to design document schemas and NoSQL data access patterns alongside relational workloads.
• Participate in code and schema reviews, upholding data quality, performance, and consistency standards.
• Develop new data pipelines, APIs, and data management tools in an agile environment; support end-to-end lifecycle with CD practices.

Skills

MS SQL Server

MongoDB

Python

Data modeling

Azure data stack

APIs

REST/JSON

Education

Bachelor’s degree in Computer Science

Tools

Git

GitHub

CI/CD pipelines

REST APIs

JSON

Job description

Perform is seeking a data engineer to support complex application development, aligning data models, integrations, and pipelines with established standards. You will design robust data models, stored procedures, and database objects for applications and reporting.

The role includes developing and maintaining SQL Server databases, working with MongoDB for NoSQL patterns, and participating in code reviews to ensure quality, performance, and consistency in an agile environment.