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Senior Data Engineer

$80k – $140k • No equity
|
Remote •
United States
|5 years of exp
|Contract

Posted: 5 months ago

Visa Sponsorship

Not Available

Remote Work Policy

Remote only

Hires remotely in

United States

Preferred Timezones

Pacific Time

Collaboration Hours

9:00 AM - 5:00 PM Pacific Time

RelocationAllowed

Skills

Python

SQL

DBT

About the job

Job Description:

As a Senior Data Engineer at Quarter Lab, you will be responsible for designing, implementing, and maintaining robust data infrastructure solutions and a complex ETL which drives our core business operations. You will work closely with our team to ensure the efficient and effective processing of large datasets. Your expertise in SQL and ETL processes will be crucial in shaping our data strategy!

Key Responsibilities:

Database Design and Implementation: Architect scalable and high-performance data solutions to process millions of rows of data.
ETL Development: Design, implement, and manage ETL pipelines to support data integration and transformation processes.
Data Modeling: Develop and maintain complex data models and database schemas to support various business needs.
Tool Integration: Utilize tools like DBT and Prefect (or similar) to streamline data workflows and ensure data quality.
Collaboration: Work closely with company stakeholders & engineers to understand data requirements, deliver solutions, and collaborate cross-functionally.
Documentation: Document core data processes using industry standard best practices
Performance Tuning: Optimize database performance and ensure efficient query execution.

Requirements:

Experience: Minimum of 5 years of experience in data engineering or software engineering
SQL: Mastery of SQL with a strong ability to write and optimize complex queries and stored procedures.
Python: Strong programming skills using python or other OO programming language
DBT: Hands-on experience with DBT (Data Build Tool) for data transformation and modeling.
ETL Skills: Proven experience in designing and implementing robust ETL processes.

Nice to Haves:

Automated Testing: Experience writing and devloping unit or E2E tests for data pipelines and/or python backends
Prefect: Experience building data pipelines with Prefect, or other similar ETL tools
DevOps Experience: Familiarity with DevOps practices and tools to manage and deploy data solutions.
Web Development: General familiarity with PHP / Javascript / HTML / CSS