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Azure Data Engineer Jobs in Iowa (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions * Own analysis quality: data validation, experiment/study ...

Pwc

Data Governance- Manager

Des Moines, IA

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Mom\'s Meals

Principal Data Analyst

Ankeny, IA · Remote

Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions * Own analysis quality: data validation, experiment/study ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Access Dubuque

Cloud Data Engineer

Dubuque, IA · On-site

$108K - $129K/yr

Cloud Data Engineer Colony Brands, Inc. 1 Positions ID: 91637 Posted On 06/01/2026 Job Overview ... Azure, or Google Cloud • Knowledge of AWS database services (primarily Redshift, RDS, & Dynamo ...

Deloitte

Project - Data Engineer

Davenport, IA

$108K - $130K/yr

... or Azure/GCP, including orchestration/scheduling (e.g., Airflow/MWAA, Step Functions, Glue, ADF ... As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ...

Deloitte

Project - Data Engineer

Des Moines, IA

$111K - $134K/yr

... or Azure/GCP, including orchestration/scheduling (e.g., Airflow/MWAA, Step Functions, Glue, ADF ... As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ...

Bespoke Labs

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Iowa City, IA · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Waterloo, IA · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Sioux City, IA · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Azure Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do azure data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for azure data engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Iowa? The most popular types of Azure Data Engineer jobs in Iowa are:
What are popular job titles related to Azure Data Engineer jobs in Iowa? For Azure Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Iowa look for? The top searched job categories for Azure Data Engineer jobs in Iowa are:
What cities in Iowa are hiring for Azure Data Engineer jobs? Cities in Iowa with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Iowa as of June 2026, with employment types broken down into 90% Full Time, 4% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Mom's Meals rating

6.2

Company rating: 6.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

13th of 22 rated food delivery companies

Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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