1

Databricks Engineer Jobs in Iowa (NOW HIRING)

Data Architect

Cedar Rapids, IA ยท On-site

$62.75 - $80.75/hr

... DevOps) โ€ข Databricks โ€ข Salesforce (Sales Cloud, Service Cloud, Data Cloud) โ€ข Python โ€ข Spark โ€ข dbt โ€ข Airflow โ€ข Informatica Cloud โ€ข Microsoft Office Suite Company : GreatAmerica is the ...

Data Architect

West Des Moines, IA ยท On-site

$63 - $81/hr

Lead architecture reviews andprovidetechnical guidance to data engineers and analytics teams ... Azure Databricks or Microsoft Fabric * Advanced SQL skills and experience with Python (preferred)

Data Architect

West Des Moines, IA ยท On-site

$58.50 - $75.25/hr

Collaborate with engineers to implement architectural patterns in production systems * Ensure ... Azure Databricks or Microsoft Fabric * Advanced SQL skills and experience with Python (preferred)

Data Security Consultant

Nevada, IA ยท On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Data Security Consultant

Nevada, IA ยท On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Showing results 41-60

Databricks Engineer information

See Iowa salary details

$55.9K

$104.9K

$190.7K

How much do databricks engineer jobs pay per year?

As of Sep 11, 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 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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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:

Infographic showing various Databricks Engineer job openings in Iowa as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,852 per year, or $50.4 per hour.

Data Architect

Cedar Rapids, IA โ€ข On-site

GreatAmerica Financial Services Corporation
Finance and Insuranceย โ€ขย 501 - 1,000 employees

$62.75 - $80.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Architect

The Data Architect is responsible for designing and delivering the organizationโ€™s data infrastructure, including operational source systems, analytical platforms, data movement technology, and architectural standards. The role balances technical excellence with business needs to deliver reliable, secure, and highly available solutions in a hybrid cloud environment.

Responsibilities
  • Develop and maintain conceptual, logical, and physical data models.
  • Design scalable, end-to-end enterprise data architectures that support current and future business needs.
  • Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services.
  • Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems.
  • Integrate diverse data sources across the enterprise using standardized patterns and frameworks.
  • Establish, document, socialize, and enforce development, modeling, and architectural design standards.
  • Implement data quality metrics, monitoring capabilities, and issue resolution processes in partnership with Data Governance.
  • Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance.
  • Create and maintain clear documentation of architectural decisions, standards, and patterns.
  • Implement data protection strategies, including access controls and data privacy measures.
  • Ensure data architectures align with regulatory requirements and internal compliance standards.
  • Evaluate and recommend emerging technologies to improve data management and platform capabilities.
  • Architect and optimize cloud-native solutions leveraging Microsoft Azure services.
  • Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions.
  • Support scalability, performance tuning, and cost optimization of data platforms.
  • Build strong relationships with business and technical stakeholders to understand evolving needs and translate them into architectural solutions.
  • Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions.
  • Serve as a technical thought leader influencing multi-year data strategy and platform decisions.
  • Mentor team members and promote best practices across the data organization.
  • Partner with other architects to ensure enterprise alignment with data standards and architectural principles.
Qualifications
  • Bachelorโ€™s degree in Computer Science, Information Technology, or related field.
  • 7+ years of experience in data architecture, database design, or related roles.
  • Inโ€‘depth knowledge of cloudโ€‘based data architectures, transactional and analytical systems, data modeling, data integration tools, and business intelligence concepts.
  • Experience with both SQL and NoSQL database technologies.
  • Proven experience designing and implementing enterpriseโ€‘scale data warehouses and data lakes.
  • Demonstrated expertise with Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage, and Salesforce.
  • Experience with Salesforce data models and Salesforce Data Cloud.
  • Experience leading modernization, migration, and cloud transformation initiatives.
  • Advanced SQL certifications and/or ITIL knowledge are a plus.
Skills and Abilities
  • Strategic thinking with the ability to drive enterpriseโ€‘level architectural decisions.
  • Ability to communicate complex technical concepts to nonโ€‘technical stakeholders.
  • Strong problemโ€‘solving skills, with the ability to balance technical and business tradeโ€‘offs.
  • Excellent collaboration and influence skills across technical and business teams.
  • Ability to navigate differing viewpoints and achieve consensus.
  • Adaptability to changing technologies, business priorities, and data needs.
  • Strong learning mindset, particularly around cloud, AI/ML, and emerging technologies.
  • Effective facilitation and consensusโ€‘building capabilities.
Computer Skills
  • Microsoft SQL Server (SSIS, SSAS, Service Broker)
  • Azure (Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure DevOps)
  • Databricks
  • Salesforce (Sales Cloud, Service Cloud, Data Cloud)
  • Python, Spark, dbt, Airflow, Informatica Cloud, Microsoft Office Suite
Benefits
  • Competitive Compensation
  • Monthly Bonuses for Eligible Employees
  • 401(k) and Company Match
  • Annual Profit Sharing
  • Paid Time Off
  • Health, Wellbeing, and Family Planning Benefits
  • Paid Vacation โ€“ starting at 80 hours annually for employees in their first year of service
  • Paid Sick Days โ€“ Ten (10) per year with a conversion option for unused time
  • Ten (10) Paid Holidays per year
  • Gym Reimbursement
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Shortโ€‘Term and Longโ€‘Term Disability
  • Companyโ€‘Paid Life Insurance
  • Flexible Spending Accounts (FSA)
  • Health Savings Accounts (HSA)
  • Employee Assistance Program
  • Parental Leave
  • Education and Career Planning Benefits โ€“ Tuition Assistance
  • Networking Opportunities
  • Leadership Development Opportunities
  • Paid Parking
  • Service Awards
  • Hybrid work arrangements
  • Business casual environment

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

#J-18808-Ljbffr