Hybrid Data Engineer for Infrastructure Analytics

Gravity IT Resources; United States; Hybrid; USD 103,320 - 130,872; Full time

Job summary

Gravity IT Resources is seeking a Data Engineer / Data Analyst in Dublin, CA. This hybrid, long-term contract role involves designing and maintaining SQL-based data solutions, building ETL pipelines, and delivering Power BI dashboards for internal stakeholders.

The ideal candidate has 5+ years in data engineering/BI, strong SQL and Python skills, and experience with large datasets. The position supports cloud data architecture migrations and enterprise reporting.

Qualifications

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

Responsibilities

• Design, develop, and maintain SQL-based data solutions for infrastructure and capital planning.
• Build and optimize data pipelines and ETL processes for large datasets.
• Assist with migration from SQL Server to Snowflake and design scalable cloud data architecture.
• Extract, transform, and analyze data from SAP and other enterprise systems.
• Develop and maintain Power BI dashboards and reports for internal stakeholders.
• Write SQL and Python scripts for data transformation, automation, and analysis.
• Model data and optimize storage for tens of millions of records.
• Collaborate with business partners to translate reporting needs into technical solutions.

Skills

Advanced SQL

Data engineering

Python

Power BI

Analytical skills

Communication

Tools

Snowflake

SQL Server

SAP

Microsoft Fabric

Job description

Gravity IT Resources is seeking a Data Engineer / Data Analyst in Dublin, CA. This hybrid, long-term contract role involves designing and maintaining SQL-based data solutions, building ETL pipelines, and delivering Power BI dashboards for internal stakeholders.

The ideal candidate has 5+ years in data engineering/BI, strong SQL and Python skills, and experience with large datasets. The position supports cloud data architecture migrations and enterprise reporting.