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Azure Databricks Jobs in Iowa (NOW HIRING)

Pwc

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Aug 19, 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.

What is an Azure Databricks?

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 does an Azure Databricks do?

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.

What are the key skills and qualifications needed for an Azure Databricks?

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.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

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 the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $114,099 per year, or $54.9 per hour.

Data Modeler

Neshent Technologies

Norwalk, IA

$51.25 - $66.50/hr

Full-time

Posted 6 days ago

Job description

We are seeking an experienced Data Modeler with strong expertise in ontology modeling, semantic data modeling, enterprise knowledge graphs, and insurance data domains. The ideal candidate will have experience designing conceptual, logical, and physical data models, developing enterprise ontologies, and implementing semantic solutions using modern graph database and metadata management platforms.

Required Technical Skills
  • Strong knowledge of ACORD insurance data standards.
  • Experience with ontology and semantic modeling platforms such as Timbr, TopBraid, PoolParty, or Stardog.
  • Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune.
  • Experience with RDF, OWL, SPARQL, and enterprise knowledge graph concepts.
  • Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview.
  • Experience with AI/GenAI, semantic search, and enterprise knowledge graph initiatives.
  • Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure.
Roles and Responsibilities
  • Develop conceptual, logical, and physical data models for enterprise data platforms.
  • Design and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
  • Define business entities, relationships, hierarchies, and semantic rules across enterprise data domains.
  • Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions.
  • Develop data models for insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.
  • Support data governance, metadata management, data lineage, and data quality initiatives.
  • Ensure data models align with enterprise architecture standards, industry best practices, and governance frameworks.
  • Contribute to AI-driven data initiatives, including semantic search and knowledge graph implementations.
Preferred Skills
  • Enterprise Ontology Design
  • Semantic Data Modeling
  • Knowledge Graph Architecture
  • Insurance Data Architecture
  • ACORD Standards
  • RDF / OWL / SPARQL
  • Graph Databases (Neo4j, Stardog, Amazon Neptune)
  • Data Governance & Metadata Management
  • Snowflake / Databricks
  • Cloud Platforms (AWS / Azure)

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