Software Engineer (SQL, Python) | $15.2k/month On-site

Crossing Hurdles; California (MO); On-site; USD 90,000 - 130,000; 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.
• Experience with data engineering pipelines including ETL processes and data modeling.
• Hands-on experience with data visualization and dashboard tools such as Tableau.
• Strong analytical and problem-solving skills.
• Experience with data quality monitoring and automated testing frameworks.
• Degree in Computer Science or related field.
• Machine Learning experience and understanding of ML training data requirements.
• Experience building and scaling large products or systems.
• Experience with privacy and ads-related products.
• Experience working with human labelling and annotation systems.

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.
• Create comprehensive end-to-end tests and monitoring alerts.
• Debug and troubleshoot complex data flow issues.
• Collaborate closely with Technical Leads and engineering teams.
• Partner with Product Data Operations teams to coordinate human labelling workflows.
• Work with Taxonomists and Data Labelling Analysts on classification and QA processes.
• Coordinate with vendor partners supporting external data collection operations.
• Support smart sampling initiatives and targeted data collection strategies.

Skills

SQL development

Python proficiency

Data visualization

Analytical skills

ETL processes

Machine Learning understanding

Analytical thinking

Automated testing frameworks

ML training data understanding

Experience scaling products/systems

Education

Degree in Computer Science or related field

Tools

Tableau

Job description

• Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform
• Design and develop data processing pipelines using SQL and Python
• Build and maintain dashboards and visualization tools
• Create comprehensive end-to-end tests and monitoring alerts
• Debug and troubleshoot complex data flow issues
• Collaborate closely with Technical Leads and engineering teams
• Partner with Product Data Operations teams to coordinate human labelling workflows
• Work with Taxonomists and Data Labelling Analysts on classification and QA processes
• Coordinate with vendor partners supporting external data collection operations
• Support smart sampling initiatives and targeted data collection strategies

Requirements

• Experience in SQL development writing complex queries and data transformations
• Proficiency in Python with experience in data processing, automation, and pipeline development
• Experience with data engineering pipelines including ETL processes and data modeling
• Hands‑on experience with data visualization and dashboard tools such as Tableau
• Strong analytical and problem‑solving skills
• Experience with data quality monitoring and automated testing frameworks
• Degree in Computer Science or related field
• Machine Learning experience and understanding of ML training data requirements
• Experience building and scaling large products or systems
• Experience with privacy and ads‑related products
• Experience working with human labelling and annotation systems