Senior Data Engineer: Databricks, SQL & ETL Architect

Acute Talent; Phoenix (AZ); On-site; USD 90,000 - 130,000; Full time

Job summary

Acute Talent is seeking a skilled Data Engineer to join our data analytics team in Phoenix. You will design, build, and optimize data pipelines, data models, and data warehouses to support analytics and reporting. Deep experience with SQL-based transformations, Databricks, and modern data engineering practices is required.

You will collaborate with cross-functional teams and ensure data quality, governance, and scalable solutions that drive business insights.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or related field.
• Deep experience with SQL-based transformations, Databricks, and modern data engineering practices.

Responsibilities

• Design, develop, and maintain datapipelines and ETL processes using Databricks and SQL.
• Write optimized SQL queries for data extraction, transformation, and loading across large-scale datasets.
• Monitor, validate, and optimize data movement, cleansing, normalization, and updating processes to ensure data quality, consistency, and reliability.
• Collaborate with business and analytics teams to define data models, schemas, and frameworks within the data warehouse.
• Document source-to-target mapping and transformation logic.
• Build data frameworks and visualizations to support analytics and reporting.
• Ensure compliance with data governance, security, and regulatory standards.
• Communicate effectively with internal and external stakeholders to understand and deliver on data needs.

Skills

Databricks

SQL

Data pipelines

ETL processes

Data modeling

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Job description

Acute Talent is seeking a skilled Data Engineer to join our data analytics team in Phoenix. You will design, build, and optimize data pipelines, data models, and data warehouses to support analytics and reporting. Deep experience with SQL-based transformations, Databricks, and modern data engineering practices is required.

You will collaborate with cross-functional teams and ensure data quality, governance, and scalable solutions that drive business insights.