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Databricks Engineer Jobs in Iowa (NOW HIRING)

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

RFA Engineering ( www.rfamec.com ) supports industry-leading clients through the full software ... Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

RFA Engineering ( ;/strong> ) supports industry-leading clients through the full software ... Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks ...

Sunrise Systems, Inc.

Software Engineer

Urbandale, IA · On-site

Software Engineer Job ID: 26-03780 Location: Urbandale, IA, 50322 Duration: 14 Months on W2 ... Architect and propose new AWS/Databricks solutions & updates to existing backend systems that ...

Delphic Software Solutions Inc

Python Developer

Des Moines, IA · On-site

$49 - $67.50/hr

Need Local to Des Moines, IAW2 role Python Developer Location: Des Moines, IA - Onsite Employment ... Hands-on experience with Databricks and Spark-based data processing * Experience with Microsoft ...

New

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture * Lead and mentor data engineers and guide the onsite and remote data engineering ...

New

innovitusa

ETL Developer

Des Moines, IA

$49.75 - $65.25/hr

W2 Candidates Only 🚨 We are looking for an ETL Developer to design, develop, test, and maintain ... Snowflake * Databricks * Azure Data Factory * AWS Glue * Python * Apache Spark * Cloud data ...

New

Corteva

Sr Principal Software Architect

Johnston, IA · Remote

... Databricks implementation patterns (clusters vs. serverless vs. SQL warehouses, Unity Catalog configuration, etc.). Required Skills 7+ years of technical leadership with data or platform engineering ...

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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 Aug 19, 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:

What job categories do people searching Databricks Engineer jobs in Iowa look for?

The top searched job categories for Databricks Engineer jobs in Iowa are:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $104,852 per year, or $50.4 per hour.

Databricks Architect (Hybrid)

Cognizant Technology Solutions

West Des Moines, IA • On-site

$63.50 - $83.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

53rd of 72 rated business consultants

Job description

Job Summary
This hybrid role is for a Senior Architect with deep hands-on expertise in Databricks SQL, Databricks Workflows, and PySpark. The candidate will drive end-to-end data platform and analytics solutions for a global organization, designing, optimizing, and governing scalable cloud-based data architectures that enable trusted insights, improve business decisions, and support responsible innovation.
Key Responsibilities
  • Design and implement scalable cloud-based data architectures on Databricks to support complex analytical workloads and reliable data products.
  • Develop robust data pipelines using Databricks Workflows and PySpark to ingest, transform, and curate large volumes of structured and unstructured data.
  • Optimize Databricks SQL queries and data models for high-performance, low-latency analytics.
  • Establish reusable frameworks and patterns for data ingestion, transformation, and orchestration to improve consistency and reduce time-to-market.
  • Collaborate with product owners, data engineers, and analysts to translate business requirements into scalable technical solutions aligned with enterprise architecture standards.
  • Define and enforce best practices for code quality, version control, testing, and deployment in Databricks environments.
  • Implement monitoring, logging, and alerting mechanisms to enhance reliability and observability of workflows and jobs.
  • Design secure data access models (RBAC, data masking, encryption) to ensure compliance with regulatory and security standards.
  • Drive modernization by migrating legacy systems into Databricks-based platforms, simplifying architecture and reducing operational complexity.
  • Conduct architecture and code reviews to ensure performance, scalability, and maintainability.
  • Partner with cloud and infrastructure teams to optimize compute, storage, and networking for cost efficiency and performance.
  • Document architecture decisions, data flows, and standards for long-term maintainability.
  • Mentor and guide teams on Databricks and PySpark implementation best practices.

Required Qualifications
  • Extensive experience in designing and implementing enterprise-scale data platforms using Databricks, Databricks SQL, Databricks Workflows, and PySpark.
  • Strong proficiency in SQL, data modeling, and query optimization for analytical workloads.
  • Hands-on experience in building and orchestrating complex data pipelines within Databricks (scheduling, dependency management, recovery strategies).
  • Solid understanding of distributed computing concepts (cluster configuration, parallel processing, resource tuning).
  • Experience with data governance, data quality, and metadata management frameworks.
  • Hands-on expertise with CI/CD practices for Databricks deployments, including automated testing and release pipelines.
  • Strong communication and collaboration skills to work effectively with cross-functional stakeholders.
  • Proven experience in large-scale cloud-based data ecosystems and modern data platform

Preferred Certifications
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Data Engineer Associate
  • Equivalent cloud data certification (Azure, AWS, or GCP)

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 06, 2026,
The annual salary for this position is between $ 90,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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