Sr. Data Engineer (Azure/Databricks/Python)

AspiringIT; Irvine (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

AspiringIT is seeking a Senior Data Engineer to design, build, and optimize enterprise-scale data platforms, data lakes, and data warehouses in a hybrid Irvine, CA environment.

The role emphasizes Azure-based data solutions, modern ETL/ELT pipelines, and strong data modeling and SQL tuning skills to support complex business needs. Collaboration with business and technical teams is essential to deliver scalable data solutions.

Qualifications

• Requires 10+ years of data engineering experience.
• Strong SQL, data modeling, and query performance tuning.
• Experience building enterprise-scale data platforms.

Responsibilities

• Design and implement scalable Data Lakes, Data Warehouses, and Data Marts.
• Develop and optimize ETL/ELT pipelines and cloud-based data platforms.
• Build robust data solutions using Azure, Databricks, and Snowflake.
• Perform advanced data modeling, SQL optimization, and performance tuning.
• Develop integrations using REST APIs, GraphQL, XML, and JSON.
• Support architecture, CI/CD, code reviews, and data engineering best practices.
• Collaborate with business and technical teams to deliver enterprise data solutions.

Skills

10+ years Data Engineering

SQL Proficiency

Data Modeling

Query Performance Tuning

Tools

Azure

Databricks

Snowflake

Job description

Location: Hybrid (Irvine, CA)

Role Overview

We are seeking a highly experienced Senior Data Engineer to design, build, and optimize enterprise-scale data platforms, data lakes, data warehouses, and cloud-native data solutions. The ideal candidate will have deep expertise in Azure data technologies, modern ETL/ELT frameworks, and large-scale data engineering best practices.

Key Responsibilities

• Design and implement scalable Data Lakes, Data Warehouses, and Data Marts.

• Develop and optimize ETL/ELT pipelines and cloud-based data platforms.

• Build robust data solutions using Azure, Databricks, and Snowflake.

• Perform advanced data modeling, SQL optimization, and performance tuning.

• Develop integrations using REST APIs, GraphQL, XML, and JSON.

• Support architecture, CI/CD, code reviews, and data engineering best practices.

• Collaborate with business and technical teams to deliver enterprise data solutions.

Required Skills

• 10+ years of Data Engineering experience.

• Advanced SQL, Data Modeling, Query Performance Tuning

• Experience building and supporting enterprise-scale data platforms.

Nice to Have

• Financial Services, Mortgage, or Lending domain experience.