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Remote Data Engineering Jobs in Iowa (NOW HIRING)

Energy Engineer

Madison, WI ยท On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Sr. AWS Data Engineer

Des Moines, IA ยท Remote

$65 - $75/hr

... contributing to engineering standards and best practices in a modern data ecosystem. Key ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

Data Security Consultant

Nevada, IA ยท On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Nevada, IA ยท On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Remote - candidate can be considered remote if currently lives in the US and lives more than 50 ... Identify friction points experienced by data engineers, data scientists, and analysts, and ...

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Remote Data Engineering information

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

The most popular types of Data Engineering jobs in Iowa are:

What are popular job titles related to Remote Data Engineering jobs in Iowa?

For Remote Data Engineering jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Remote Data Engineering jobs?

Cities in Iowa with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Director Data Management- Hybrid- Des Moines, Iowa

American Enterprise Mutual Holding

Des Moines, IA โ€ข On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Wellabe is looking for a Director of Data Management to join our team.ย  As a Director of Data Management, you will report to Chief Data & Analytics Officer and lead the design, delivery, and modernization of our enterprise data platform. This role will oversee the migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using the medallion architecture, establishing a scalable, high-performance single source of truth that powers analytics, reporting, and AI/ML across the insurance value chain.

As a senior leader, you will guide the onsite and remote data engineering team, set data platform strategy, and ensure delivery of cloud-native, reliable, and business-ready data assets. You will partner with architecture, analytics, governance, and business leaders to align the enterprise data platform with business objectives.

Core Responsibilities
  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.
  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.
  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.
  • Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs.
  • Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains.
  • Drive cloud-native engineering best practices (ETL/ELT optimization, CI/CD, DevOps, cost efficiency, observability).
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives.
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access.
  • Prioritize and manage the enterprise data portfolio, aligning data investments with business value, strategic initiatives, and operational outcomes.
  • Manage budget, resourcing, and vendor relationships to scale platform capabilities.
  • Stay current on emerging technologies (Databricks, streaming, AI/ML enablement) to evolve the platform roadmap.
  • Own the Databricks platform and help guide business users on adoption of the Lakehouse.
Qualifications
  • Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault).
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap.
  • Excellent communication and leadership skills influence technical and business stakeholders.
  • Familiarity with the DAMA/DMBOK practice and standards.
  • Familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required.
  • 10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required.
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake.
  • Hands-on experience with Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog).
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing.
  • Experience working with compliance regulations and handling of PHI/PII data.
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake.
  • Experience with DevOps and automation frameworks (Azure DevOps, Terraform, GitHub Actions).
Education
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities

We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities โ€” not only for you, but also for our company. Thatโ€™s why we provide:

  • LinkedIn Learning Premium access
  • CliftonStrengthsยฎ assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and moreย 
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement programย 
  • Opportunities to take part in Wellabe's mentorship programsย 
About Wellabe

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And weโ€™re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabeโ€™s culture of betterment by visiting wellabe.com/culture.

Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.

Our core values:

  • Be dedicated:ย Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy:ย Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined:ย Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative:ย Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open:ย Embrace diversity and new ideas to create an inclusive environment.
  • Be generous:ย Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better:ย Commit to continuous improvement and adapt effectively to change.
  • Be well:ย Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.