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Senior Databricks Data Engineer Jobs in Des Moines, IA

Pwc

Data Engineer - Senior Manager

Des Moines, IA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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 ...

Pwc

Data Engineer - Manager

Des Moines, IA

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

TEKsystems

Senior Data Engineer

Des Moines, IA

$65 - $68/hr

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

TEKsystems

Senior Data Engineer

Des Moines, IA

$65 - $68/hr

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

Pwc

GenAI Python Systems Engineer-Manager

Des Moines, IA · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Randstad Digital

Sr. Data Engineer

West Des Moines, IA · On-site

$176K/yr

What You Can Expect In This Role Enterprise data engineers will be responsible for designing and implementing scalable data and integration solutions. This role requires strong technical skills in ...

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 ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Des Moines, IA

Senior Databricks Data Engineer information

See Des Moines, IA salary details

$58.1K

$123.5K

$179.1K

How much do senior databricks data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior databricks data engineer in Des Moines, IA is $123,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Des Moines, IA?

The most popular types of Databricks Data Engineer jobs in Des Moines, IA are:

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For Senior Databricks Data Engineer jobs in Des Moines, IA, the most frequently searched job titles are:

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The top searched job categories for Senior Databricks Data Engineer jobs in Des Moines, IA are:

What cities near Des Moines, IA are hiring for Senior Databricks Data Engineer jobs?

Cities near Des Moines, IA with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Des Moines, IA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $123,510 per year, or $59.4 per hour.

Data Engineer / BI Developer-Databricks

Transcend IT Solutions

Des Moines, IA • On-site

$111K - $134K/yr

Other

Posted 2 days ago

New

Job description

Position Tittle: Data Analytics Engineer / BI Developer
Location: Hybrid – Des Moines, IA metro-live in Iowa or midwest and will fully relocate
Duration: Long Term
 
Job Details:
 
More Data Engineer than Analyst with strong Databricks. Need someone that is more personable
 
We are seeking a Data Analytics Engineer (Databricks) / BI Developer to support a growing enterprise data modernization initiative. This role will sit at the intersection of data analytics and data engineering, helping rebuild and modernize reporting solutions while leveraging newer Databricks-based technologies and cloud data tools.
 
This position is ideal for someone who enjoys both the analytical side of delivering business insights and the technical side of supporting data transformation efforts. The environment is still evolving, so the ideal candidate should be comfortable operating in a collaborative, fast-moving setting where foundational reporting and data capabilities are actively being built out.
 
This position will include exposure to Databricks, transformation logic, and notebook development alongside a stronger focus on dashboarding, reporting modernization, and business insight delivery.
 
Key Responsibilities:
Reporting & Dashboard Modernization
Rebuild and modernize enterprise reporting solutions using newer cloud-based and Databricks-enabled technologies.
Design and develop dashboards, visualizations, and reporting solutions that provide meaningful business insights and operational visibility.
Partner with business stakeholders to understand reporting needs, KPIs, and analytical requirements.
Databricks & Data Transformation Support
Assist with data transformation activities within Databricks environments.
Support development and maintenance of Databricks notebooks and transformation workflows.
Collaborate with data engineering and analytics teams to improve data accessibility and reporting performance.
Help bridge the gap between raw data engineering efforts and business-facing analytics solutions.
Data Analysis & Insights
Analyze datasets to identify trends, anomalies, and actionable insights that support business decision-making.
Support data validation, quality checks, and reporting accuracy initiatives.
Translate complex data into clear and consumable business intelligence outputs.
Cross-Functional Collaboration
Work closely with analytics, engineering, business, and leadership teams to support modernization initiatives.
Assist in defining reporting standards, best practices, and scalable analytics solutions.
Communicate findings and recommendations effectively to both technical and non-technical audiences.
 
Continuous Improvement:
Support ongoing modernization of reporting architecture and analytics capabilities.
Stay current on evolving Databricks, BI, and cloud analytics technologies.
Identify opportunities to improve reporting efficiency, automation, and data usability.
 
Required Qualifications:
3+ years of experience in data analytics, BI development, reporting, or related data-focused roles.
Experience developing dashboards and reporting solutions using Power BI or similar BI platforms.
Strong SQL and data analysis skills.
Exposure to Databricks or modern cloud-based analytics environments.
Understanding of data transformation concepts and analytical workflows.
Strong communication and collaboration skills.
 
Preferred Qualifications:
Experience working with Databricks notebooks and transformation logic.
Exposure to Azure data technologies and cloud-based analytics platforms.
Experience supporting reporting modernization initiatives.
Understanding of data modeling and analytics architecture concepts.
Ability to operate between technical and business-focused teams.
 
Technical Skills:
Power BI
SQL
Databricks
Data Visualization
Dashboard Development
Data Transformation
Analytics & Reporting
Cloud Data Platforms
Databricks Notebooks
Excel
Business Intelligence Tools
Ideal Candidate Profile
 

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