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Databricks Engineer Jobs in Iowa (NOW HIRING)

Senior Data Product Manager

Ankeny, IA · Remote

$118K - $156K/yr

Collaborate with engineering and analytics teams to translate requirements into technical ... Azure Data Lake, Azure Synapse, Databricks, dbt * Data Integration: MuleSoft, APIs, batch/real-time ...

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

Data science Data Modeling and Machine Learning modeling, or analytics Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Azure AI Foundry Power BI Programming with Python and ...

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Databricks Engineer information

See Iowa salary details

$55.9K

$104.9K

$190.7K

How much do databricks engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for databricks engineer in Iowa is $104,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $124,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Iowa? For Databricks Engineer jobs in Iowa, the most frequently searched job titles are:
Data Management Engineer II" ETL / IICS Developer

Data Management Engineer II" ETL / IICS Developer

Deloitte

Davenport, IA • Hybrid

$48.50 - $63.25/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Management Engineer II" ETL / IICS Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals

Work you'll do/Responsibilities  

  • Support development, enhancement, maintenance, and modernization of mission-critical applications for a leading Healthcare Insurance client.
  • Analyze incidents, troubleshoot production issues, and drive timely resolution to ensure application stability and business continuity.
  • Perform code changes, defect fixes, and minor enhancements based on business and operational priorities.
  • Work with cross-functional teams including business analysts, architects, QA, infrastructure, and client stakeholders to deliver solutions.
  • Participate in application modernization initiatives such as refactoring legacy components, improving performance, and adopting more scalable design patterns.
  • Conduct root cause analysis for recurring issues and recommend preventive improvements.
  • Support release activities, validation, and post-deployment monitoring.
  • Ensure adherence to quality, security, and operational standards across support and development activities.
  • Maintain project documentation, knowledge artifacts, and status updates for ongoing support and enhancement work.
  • Contribute to continuous improvement by identifying opportunities to automate, simplify, and optimize support and delivery processes.
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering (AI & E) team delivers market leading expertise and industry depth by harnessing deep sector knowledge, scaling the power of hybrid services and products, and unlocking the power of Process Bionics to deliver sustainable and impactful solutions to our clients. We advise, design, implement, and deploy innovative and technology enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media and Energy & Resources.
Our AI & E team brings clients the knowledge of industry leaders who understand the relevant processes and technologies for their industry-and apply them with a process and mindset that tailors transformational change to their specific organization.

Qualifications

 Required

  • Experienced in Informatica PowerCenter, IICS
  • Exposure to Databricks
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve


Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations
Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Management Engineer II" ETL / IICS Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals

Work you'll do/Responsibilities  

  • Support development, enhancement, maintenance, and modernization of mission-critical applications for a leading Healthcare Insurance client.
  • Analyze incidents, troubleshoot production issues, and drive timely resolution to ensure application stability and business continuity.
  • Perform code changes, defect fixes, and minor enhancements based on business and operational priorities.
  • Work with cross-functional teams including business analysts, architects, QA, infrastructure, and client stakeholders to deliver solutions.
  • Participate in application modernization initiatives such as refactoring legacy components, improving performance, and adopting more scalable design patterns.
  • Conduct root cause analysis for recurring issues and recommend preventive improvements.
  • Support release activities, validation, and post-deployment monitoring.
  • Ensure adherence to quality, security, and operational standards across support and development activities.
  • Maintain project documentation, knowledge artifacts, and status updates for ongoing support and enhancement work.
  • Contribute to continuous improvement by identifying opportunities to automate, simplify, and optimize support and delivery processes.
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering (AI & E) team delivers market leading expertise and industry depth by harnessing deep sector knowledge, scaling the power of hybrid services and products, and unlocking the power of Process Bionics to deliver sustainable and impactful solutions to our clients. We advise, design, implement, and deploy innovative and technology enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media and Energy & Resources.
Our AI & E team brings clients the knowledge of industry leaders who understand the relevant processes and technologies for their industry-and apply them with a process and mindset that tailors transformational change to their specific organization.

Qualifications

 Required

  • Experienced in Informatica PowerCenter, IICS
  • Exposure to Databricks
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve


Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations
Education:Bachelor's DegreeEmployment Type:

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