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Azure Databricks Jobs in Iowa (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Davenport, IA · Remote

$105K - $142K/yr

... Azure/M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data protection strategies, roadmaps and frameworks, including designing, implementing and operating data ...

Pwc

Data Strategy-Manager

Des Moines, IA

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven ...

Pwc

Data Governance- Manager

Des Moines, IA · On-site

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel ...

Pwc

Data Engineer - Senior Manager

Des Moines, IA

$124K - $280K/yr

... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and ...

Asbury Village

VP, Data & AI

Des Moines, IA

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

LCS

VP, Data & AI

Des Moines, IA · On-site

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

Heritage at Irene Woods

VP, Data & AI

Des Moines, IA

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

Life Care Companies, LLC

VP, Data & AI

Des Moines, IA · On-site

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

Life Care Services

VP, Data & AI

Des Moines, IA

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

Life Care Services

VP, Data & AI

Des Moines, IA

Deep experience implementing advanced workloads in cloud, data, and AI platforms (Azure, GCP, Databricks, Snowflake, etc.) * Excellent conceptual, analytical, objective judgment, and decision-making ...

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Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for azure databricks in Iowa is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $61.63 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are popular job titles related to Azure Databricks jobs in Iowa? For Azure Databricks jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Iowa look for? The top searched job categories for Azure Databricks jobs in Iowa are:
Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Iowa as of June 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $114,099 per year, or $54.9 per hour.
Sr Data Scientist

Sr Data Scientist

Berkshire Hathaway Energy

Des Moines, IA

Full-time

Posted 7 days ago

Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

The sr data scientist is a member of the Data and Analytics Information Technology team, having a critical role in supporting the BHE (Berkshire Hathaway Energy) business transformations and asset performance management initiatives. The data scientist assists BHE business groups in translating business problems into technical and data requirements and participates in other Data and Analytics center of excellence initiatives.  This position works with information technology teams across the company to extract, transform, validate and load data into data lake and analytics software systems including Microsoft Azure and Microsoft Power BI. This individual contributes to model development, model testing, production support, data validation and data integrity efforts in the course of daily work. 

Provides Support to the Following Positions

Enterprise Analytics (IT), Berkshire Hathaway Energy,

Asset Performance and Investment Management, Berkshire Hathaway Energy,

Data Analytics Center of Excellence, Berkshire Hathaway Energy

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Bachelor's degree in computer science, mathematics, software engineering or a related technical field. Master's in data science or related technical field preferred. 

Eight or more years of experience in data science, with a proven track record of leading and delivering successful data science projects 

Demonstrated handson experience designing and building data science proofofconcepts and working with data from multiple sources, including relational databases, APIs, and modern data platforms (e.g., Delta tables), using SQL, PySpark, and Python.

Advanced proficiency in Python and/or R, with extensive experience using standard libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikitlearn, caret, tidymodels), and data visualization (e.g., seaborn, ggplot2).

Established expertise in at least one core data science domain, such as supervised learning, timeseries analysis, or survival modeling, with the ability to apply these techniques to complex, realworld business problems.

Proven experience productionizing advanced analytics and machine learning models, including transitioning solutions from development to operational and production environments.

Strong practical foundation in descriptive and inferential statistics, including hypothesis testing, confidence intervals, correlation analysis, and related statistical methods.

Handson experience with enterprise data visualization tools (Power BI preferred) and at least one cloudbased data platform (Azure and Databricks preferred).

Excellent verbal and written communication skills, with the ability to clearly communicate technical concepts, analytical results, and recommendations to both technical and nontechnical stakeholders across multiple levels of the organization.

Strong leadership and interpersonal skills, with the ability to work independently, collaborate effectively within a team, and influence outcomes without direct authority.

Demonstrated initiative and resourcefulness, with the ability to navigate ambiguity, prioritize work effectively, and deliver results with limited guidance in a fastchanging environment.

Experience working in crossfunctional team environments, partnering with engineering, product, and business stakeholders to deliver datadriven solutions.

Preferred experience with Spark, Azure DevOps, and MLOps practices.

  • Mentor and support a team of data scientists by providing technical guidance and thought leadership to ensure successful project execution, while fostering a collaborative and innovative team environment.

    Demonstrated experience in team leadership, project planning and management, and stakeholder engagement.

    Partner with Product Owners to lead endtoend data science initiatives, from problem definition and data exploration through model development, validation, and deployment.

    Apply advanced statistical and machine learning techniques to analyze complex datasets, uncover meaningful patterns, and develop predictive and prescriptive models.

    Contribute to the company's data strategy by identifying opportunities to leverage data science to improve business processes, optimize operations, and drive revenue growth.

    Collaborate with stakeholders across the organization, including Performance Engineering, Asset Performance, and Transmission & Distribution, to understand data needs and deliver solutions aligned with business objectives.

    Stay current with advancements in data science, machine learning, and GenAI technologies; evaluate and help implement new tools, algorithms, and frameworks to enhance team capabilities.

    Ensure highquality documentation practices, including narrative documentation in wikis and technical documentation in versioncontrolled repositories.

    Operate within an agile environment that supports iterative development and continuous delivery.

    Communicate effectively with both technical and nontechnical audiences across multiple platforms, including meetings, chat, email, and video conferencing.

  • Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email.

What Berkshire Hathaway Energy employees say

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