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Senior Microsoft Data Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Cedar Rapids, IA · On-site

$100K - $120K/yr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that ... Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker. * Knowledge of modern data ...

Data Engineer

Cedar Rapids, IA · On-site

$100 - $125/hr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that ... Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker. * Knowledge of modern data ...

Data Engineer

Cedar Rapids, IA · On-site

$100 - $125/hr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that ... Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker. * Knowledge of modern data ...

Senior Data Engineer

Oskaloosa, IA · On-site

$125 - $150/hr

The Musco Information Technology team has an opening for a Senior Data Engineer at our Oskaloosa office . If your experience aligns with the qualifications outlined below, we look forward to hearing ...

Senior Data Engineer

Ames, IA · On-site

$103K - $140K/yr

Equivalent practical experience considered. * 6-7 years in data engineering, analytics engineering ... Proficiency with Microsoft Office Suite and ability to learn new software. * Must be able to handle ...

Lead Network Engineer

Des Moines, IA · On-site

$99K - $136K/yr

... Microsoft data center deployment and operational services. The LNE provides technical direction ... Skills Network engineering Top Skills Details Network engineering Additional Skills ...

Lead Network Engineer

Des Moines, IA · On-site

$97K - $146K/yr

... Microsoft data center deployment and operational services. The LNE provides technical direction ... Skills Network engineering Top Skills Details Network engineering Additional Skills ...

Senior Data Engineer

Des Moines, IA · Hybrid

$103K - $140K/yr

Description About the Role The Waldinger Corporation has an opportunity for a qualified Data Engineer in our Corporate office. In this hybrid role, you'll work closely with team members to build and ...

Senior Data Engineer

Des Moines, IA · On-site

$65 - $68/hr

... data engineering concepts: Lakehouse architecture, Delta tables, CI/CD, distributed compute, orchestration. • Ability to think creatively, propose new approaches, and question existing patterns ...

... data engineering concepts: Lakehouse architecture, Delta tables, CI/CD, distributed compute, orchestration. • Ability to think creatively, propose new approaches, and question existing patterns ...

You will design and deliver scalable data pipelines and data products, collaborating across teams to support analytics, reporting, and emerging data use cases while contributing to engineering ...

Showing results 21-40

Senior Microsoft Data Engineer information

What is a senior Microsoft data engineer?

A Senior Microsoft Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. They are responsible for developing data pipelines, optimizing data storage, and ensuring the integrity and security of data systems. In addition to technical expertise, they often lead teams, mentor junior engineers, and collaborate with other departments to deliver business intelligence and analytics solutions. Their work helps organizations make data-driven decisions by providing accessible, reliable, and well-structured data.

What are some common challenges senior Microsoft data engineers face when integrating data from multiple sources?

Senior Microsoft Data Engineers often encounter challenges related to data consistency, compatibility, and scalability when integrating data from various sources. Ensuring that disparate data formats and schemas align with the organization's data models can require extensive data transformation and mapping. Additionally, managing data quality and real-time synchronization across platforms like SQL Server, Azure Data Factory, and Power BI are crucial for reliable analytics. Collaborating closely with business analysts and software developers is key to overcoming these challenges and delivering robust data solutions.

What are the key skills and qualifications needed to thrive as a senior Microsoft data engineer, and why are they important?

A Senior Microsoft Data Engineer requires deep expertise in data modeling, SQL, ETL processes, and strong proficiency in Microsoft data platforms such as Azure SQL Database and Synapse Analytics, usually backed by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to collaborate across teams are crucial soft skills. These competencies ensure robust, scalable data solutions that support business intelligence, operational efficiency, and informed decision-making.

What are the most commonly searched types of Microsoft Data Engineer jobs in Iowa?

The most popular types of Microsoft Data Engineer jobs in Iowa are:

What cities in Iowa are hiring for Senior Microsoft Data Engineer jobs?

Cities in Iowa with the most Senior Microsoft Data Engineer job openings:

Data Engineer

Emergent Software

Cedar Rapids, IA • On-site

$100K - $120K/yr

Full-time

Posted 26 days ago


Job description

**This is a direct hire, hybrid role for our client located in the Iowa City-Cedar Rapids metro. Eligible candidates are required in office for standing meetings each week. Candidates must be eligible to work in the United States without visa or sponsorship.**
Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will build scalable data pipelines, improve data quality, and deliver reliable datasets that enable operational and strategic insights. Working closely with technical and business teams, the Data Engineer will transform complex data into actionable information that drives business performance. The ideal candidate is a problem-solver who enjoys working with large datasets, designing efficient data workflows, and continuously improving data reliability and performance.
Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines supporting enterprise reporting and analytics.
  • Integrate data from ERP, manufacturing, and business systems into centralized data platforms.
  • Build and manage scalable data workflows across extraction, transformation, and loading processes.
  • Develop and maintain data models, testing frameworks, and technical documentation.
  • Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues.
  • Collaborate with business stakeholders to understand data requirements and deliver scalable solutions.
  • Automate manual processes and improve data delivery efficiency.
  • Ensure data accuracy, consistency, security, and reliability across systems.
  • Stay current with emerging data engineering technologies and best practices.
Qualifications
  • Strong experience building and supporting production data pipelines.
  • Proficiency in SQL and Python.
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.
Nice to Haves
  • Experience in manufacturing, ERP, or operational data environments.
  • Experience with workflow orchestration tools such as Prefect or Apache Airflow.
  • Experience with CDC or incremental data processing strategies.
  • Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker.
  • Knowledge of modern data architecture and cloud analytics platforms.
Our Vetting Process
At Emergent Staffing, we work hard to find the data engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:
  1. Application (5 minutes)
  2. Online Assessment (40 minutes)
  3. Initial Video Interview (30-45 minutes)
  4. Client Phone Interview (30 minutes)
  5. Client On-site interview (60 minutes)
  6. Job Offer!

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