Data Pipeline Engineer: SQL, Python, Dashboards & ML Data

Crossing Hurdles; California (MO); On-site; Full time

Job summary

A data engineering firm located in California is seeking a skilled professional to drive the technical implementation and testing of data pipeline features. Responsibilities include designing complex data processing pipelines, building dashboards using tools like Tableau, and collaborating with engineering teams. Ideal candidates will have a degree in Computer Science and proficiency in SQL and Python, as well as experience with data quality monitoring. The role offers opportunities to work with machine learning and large-scale systems.

Qualifications

• Experience in SQL development writing complex queries and data transformations.
• Proficiency in Python with experience in data processing, automation, and pipeline development.
• Hands-on experience with data visualization and dashboard tools such as Tableau.

Responsibilities

• Drive technical implementation and testing of complex data pipeline features.
• Design and develop data processing pipelines using SQL and Python.
• Build and maintain dashboards and visualization tools.

Skills

SQL development

Python proficiency

Data visualization

Analytical skills

ETL processes

Machine Learning understanding

Education

Degree in Computer Science or related field

Tools

Tableau

Job description

A data engineering firm located in California is seeking a skilled professional to drive the technical implementation and testing of data pipeline features. Responsibilities include designing complex data processing pipelines, building dashboards using tools like Tableau, and collaborating with engineering teams. Ideal candidates will have a degree in Computer Science and proficiency in SQL and Python, as well as experience with data quality monitoring. The role offers opportunities to work with machine learning and large-scale systems.