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Databricks Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Urbandale, IA ยท 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 ...

Python Developer

Des Moines, IA ยท 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 ...

Data Engineer

Urbandale, IA ยท On-site

$100 - $125/hr

RFA Engineering ( www.rfamec.com ) supports industry-leading clients through the full software ... Databricks, and related technologies Manage and optimize storage of diverse data types, including ...

Learn about and contribute to data architecture using AWS and Databricks * Help gather, clean, and transform data from various sources into usable formats * Collaborate with software developers, data ...

... 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 ...

Senior Data Engineer

Des Moines, IA ยท On-site

$65 - $68/hr

You'll work with Databricks to develop apps, dashboards, and Genie Spaces that support analytics ... engineering concepts: Lakehouse architecture, Delta tables, CI/CD, distributed compute ...

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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 Sep 8, 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, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $104,852 per year, or $50.4 per hour.

Solutions Architect - Digital Native Business, Named Accounts

Nevada, IA โ€ข On-site

Databricks Inc.
Software Developmentย โ€ขย 5 - 10K employees

$200 - $250/hr

Other

Re-posted 3 days ago


Key responsibilities

  • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the platform and APIs.

  • Guide customers through best practices, implementation, and the competitive landscape, and develop technical champions.

  • Consult on Big Data architectures, implement proof of concepts for strategic projects, and validate integrations with cloud services, tools, and third-party applications.


Job description

Solutions Architect - Digital Native Business, Named Accounts

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.#LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

  • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
  • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
  • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

  • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Comfortable programming in, and debugging, Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in one of the following:
    • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
    • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
  • Available to travel to customers in your region
  • Nice to have: Databricks Certification

NOTE: If your experience isnโ€™t a perfect match for the job description, but you feel like youโ€™re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .

Local Pay Range

$180,000 โ€” $247,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide โ€” including Comcast, Condรฉ Nast, Grammarly, and over 50% of the Fortune 500 โ€” rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Sparkโ„ข, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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