Senior Data Engineer: Build Scalable Pipelines & Dashboards

Intone Inc; Dublin, Northern (CA, KY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Intone Inc. is seeking a Senior Data Engineer for a 12-month contract in Dublin, CA. You will design, build, and maintain data pipelines and ETL processes while collaborating with business stakeholders to deliver analytical solutions.

The role requires 5+ years in data engineering or BI, advanced SQL, Python scripting, and Power BI dashboard generation. You will work with large datasets and contribute to data quality, reliability, and automation.

Qualifications

• 5+ years of experience in data engineering, data analytics, or business intelligence.
• Advanced SQL development skills.
• Experience designing and maintaining ETL processes and data pipelines.
• Experience working with large, high-volume datasets.
• Proficiency with Python for scripting, automation, and statistical analysis.
• Experience building dashboards and reports using Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication with stakeholders.

Responsibilities

• Design and maintain ETL processes and data pipelines.
• Develop advanced SQL queries and optimize database performance.
• Work with large, high-volume datasets to ensure data quality and reliability.
• Build dashboards and reports using Power BI.
• Create Python scripts for data automation and statistical analysis.
• Collaborate with business stakeholders to understand requirements and deliver solutions.
• Apply analytical and problem-solving skills to address data engineering challenges.

Skills

Advanced SQL

Python scripting

ETL pipelines

Data analytics

Communication

Dashboards & reports

Tools

Power BI

Python

Job description

Intone Inc. is seeking a Senior Data Engineer for a 12-month contract in Dublin, CA. You will design, build, and maintain data pipelines and ETL processes while collaborating with business stakeholders to deliver analytical solutions.

The role requires 5+ years in data engineering or BI, advanced SQL, Python scripting, and Power BI dashboard generation. You will work with large datasets and contribute to data quality, reliability, and automation.