Sr. Data Engineer

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

Data Engineer / Data Analyst (Hybrid – Dublin, CA)

Location: Dublin, CA (Hybrid, 1–2 days onsite per week)
Duration: Long-term contract (Starting at 12 months)
Pay Range:$75/HR – $95/HR

About the Opportunity

We’re seeking a Data Engineer to support a growing infrastructure analytics team responsible for managing large-scale capital investment data. As the organization continues expanding its utility infrastructure to support new customers and increased demand, this team plays a critical role in tracking project costs, analyzing trends, and delivering data-driven insights to internal business stakeholders.

This position is ideal for someone who enjoys working with large datasets, building scalable data solutions, and partnering with business teams to improve reporting and decision-making.

Responsibilities

• Design, develop, and maintain SQL-based data solutions supporting infrastructure and capital planning initiatives.
• Build and optimize data pipelines and ETL processes for large, complex datasets.
• Assist with migrating data from SQL Server to Snowflake and help design scalable cloud-based data architecture.
• Extract, transform, and analyze data from enterprise systems, including SAP.
• Develop and maintain Power BI dashboards and reports for internal stakeholders.
• Write SQL and Python scripts for data transformation, quality control, automation, and statistical analysis.
• Perform data modeling and identify efficient approaches for storing and managing tens of millions of records.
• Collaborate with business partners to understand reporting requirements and communicate technical concepts to non-technical audiences.

Required 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.
• Strong 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 skills with the ability to work directly with business stakeholders.

Preferred Qualifications

• Experience with Snowflake, including data migration or cloud data warehouse implementations.
• Experience working with SQL Server.
• Familiarity with SAP data structures or ERP reporting.
• Experience with Microsoft Fabric or other modern cloud data platforms.
• Knowledge of data modeling and data warehouse best practices.

Work Environment

• Hybrid schedule with approximately 1–2 days onsite each week in Dublin, CA.
• Local candidates are strongly preferred.
• Opportunity to work on high-impact initiatives supporting major infrastructure investments and enterprise data modernization.

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.