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Senior Databricks Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$100 - $125/hr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across ... Own the reliability, performance, governance, and cost optimization of Radix's Databricks-based ...

Solutions Architect - Strat Media

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding ... Databricks certifications (Data Engineer, ML, Platform) * Experience with competitive platforms ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large ... The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze ...

Data Engineer

Scottsdale, AZ · On-site

$80 - $100/hr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to lead the ... Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming ...

Data Engineer

Scottsdale, AZ · On-site

$150 - $200/hr

Deep expertise with Databricks (or similar modern data platforms), dbt, SQL, Python, and scalable ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

Data Engineer II

Phoenix, AZ · On-site

$107K - $128K/yr

As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing ... Hands-on experience with Dataiku (flows, recipes, scenarios, plugins) and Databricks (Spark, Delta ...

Data Engineer

Scottsdale, AZ · On-site

$100 - $125/hr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Showing results 21-40

Senior Databricks Data Engineer information

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Arizona?

The most popular types of Databricks Data Engineer jobs in Arizona are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Arizona?

For Senior Databricks Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Arizona look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Databricks Data Engineer jobs?

Cities in Arizona with the most Senior Databricks Data Engineer job openings:

Data Engineer

Kimley-Horn

Phoenix, AZ • On-site

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Kimley-Horn rating

8.8

Company rating: 8.8 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

66th of 454 rated engineering


Job description

Overview
We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives.
As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools.
This is a full-time, in-office position.
Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
  • Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
  • Build and maintain reliable data integrations from internal and external data sources.
  • Partner with business users to gather requirements and translate business needs into technical solutions.
  • Support the design and enhancement of enterprise data models and data architecture.
  • Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
  • Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Contribute to data quality, governance, documentation, and engineering standards.
  • Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
  • Continuously learn and evaluate emerging data platform technologies.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
  • 3+ years of professional experience in data engineering or a related technical role.
  • Strong experience with SQL, Microsoft SQL Server and T-SQL development.
  • Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
  • Experience programming with Python.
  • Experience working within Azure cloud environments.
  • Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
  • Working knowledge of Power BI datasets and data modeling concepts.
  • Experience gathering business requirements and working directly with stakeholders.Strong analytical, communication, and problem-solving skills.
  • Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.

Preferred Qualifications:
  • Experience with Microsoft Fabric, Databricks, or Snowflake.
  • Knowledge of enterprise data architecture and data modeling principles.
  • Experience with Azure Data Lake Storage.
  • Familiarity with dimensional modeling and data warehouse concepts.
  • Experience integrating REST APIs and semi-structured data.
  • Interest in AI, advanced analytics, and modern cloud data platforms.

Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
  • Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
  • Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
  • Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
  • Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
  • Professional Development: Tuition reimbursement and extensive internal training programs.
  • Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.

What Kimley-Horn employees say

Pay

Benefits

Hours and flexibility

Workplace

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Kimley-Horn logo

About Kimley-Horn

Sourced by ZipRecruiter

We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1967