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Senior Databricks Data Engineer Jobs in Phoenix, AZ

Forhyre

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

Cognizant Technology Solutions

Data Engineer

Mesa, AZ · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Databricks, Big query etc.) • Knowledge of containerization and CI/CD pipelines (e.g., Docker ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing ... Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks ...

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

First Citizens Bank

Senior Data Engineer

Scottsdale, AZ · On-site

$107K - $145K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Accenture

Google Senior Data Engineer

Scottsdale, AZ · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

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Senior Databricks Data Engineer information

See Phoenix, AZ salary details

$59.1K

$125.7K

$182.2K

How much do senior databricks data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior databricks data engineer in Phoenix, AZ is $125,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $142,500.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ?

The most popular types of Databricks Data Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Phoenix, AZ?

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

What job categories do people searching Senior Databricks Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Senior Databricks Data Engineer jobs?

Cities near Phoenix, AZ with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you

Data Engineer

Forhyre

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal