Top 10 Data Metadata Analyst Jobs in Des Moines, IA

Sr Data Engineer
MidAmerican Energy Company —Des Moines, IA
- Full-time
- Computer science
- Computer Science
- HIPAA
Databricks Architect (Hybrid)
Cognizant —West Des Moines, IA
- $90,000 - $150,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Mentoring
- Paid parental leave
- Employee stock purchase plan
9d
Assessment Data Domain Manager
Des Moines University —West Des Moines, IA
- $75,000 - $80,000 a year
- Full-time
- Surgery
- Mid-level
- Master's degree
- Health insurance
- Tuition reimbursement
Principal Data Engineer
MidAmerican Energy Company —Des Moines, IA
- Full-time
- Computer science
- Computer Science
- HIPAA
Business Analyst (7+ years experience)
IntelliX Software —Des Moines, IA
- Full-time
- Microsoft Word
- Microsoft Excel
- 5 years
Senior Systems Manager, Financial Management Systems
SOLV Energy, LLC —Des Moines, IA
- $186,190 - $247,632 a year
- Full-time
- Remote
- System design
- Finance
- Bachelor's degree
- Paid holidays
- Disability insurance
Quick Apply
8h
Senior Data Systems Analyst
Kemper Insurance —Des Moines, IA
- $89,000 - $148,100 a year
- Full-time
- Computer science
- Azure
- 6 years
- Health insurance
- Dental insurance
Quick Apply
Data Analyst/ Healthcare
AHU Technologies Inc —United States
- $73 - $81 an hour
- Full-time
- Remote
- Microsoft Outlook
- 11+ years
- Analysis skills
Quick Apply

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Databricks Architect (Hybrid)
Cognizant —West Des Moines, IA
Collaborate with product owners, data engineers, and analysts to translate business requirements into scalable technical solutions aligned with enterprise…
$90,000 - $150,000 a year
9d
Data Governance- Manager
PRICE WATERHOUSE COOPERS —Des Moines, IA
As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality…
$99,000 - $232,000 a year

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Analyst, Data Governance - A&F Co.
A&F Management Co. —New Albany, OH
Translate governance requirements into clear business needs and partner with solution design and technology teams to support implementation across platforms and…
$90,000 - $100,000 a year
Senior Business Analyst – Data Management
Vertiv —Westerville, OH
This role operates with a high degree of autonomy — independently managing data governance activities, driving data quality initiatives, and communicating…

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Sr Data Engineer

MidAmerican Energy Company -
Des Moines, IA

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Job Details

Full-time

Qualifications

Data integrity assurance
Data model design
Commercial use (data warehousing systems)
Computer science
Systems integration
Cloud analytics services
Databricks
Defect resolution root cause analysis
Computer Science
Requirements design
Continuous deployment
Achieving HIPAA compliance
Implementing network security enhancements
Data validation techniques
Cloud security design
Procedural guides
Team leadership
Technical documentation
Defect analysis
Data Retention (Data management)
Spark
Data retrieval time improvement
Cloud security management
HIPAA
Integration Architecture Design (Architecture design skills)
Enterprise solutions implementation
Information Systems
Scalable systems
Schema design
Infrastructure architecture design

Full Job Description

As a Sr Data Engineer, you will design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data science initiatives. You will collaborate with cross‑functional teams to ensure data is accessible, reliable, and secure across the organization, while contributing to the ongoing improvement of data engineering practices.

Architect, Design, and Deliver Scalable Data Pipelines

Lead the design and implementation of scalable ingestion and transformation frameworks on Azure, enabling efficient processing of structured, semi-structured, and unstructured data across enterprise platforms.
Build, standardize, and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks, including reusable patterns, error handling, and automated testing.
Own complex integrations across on-premises systems, cloud storage, APIs, and streaming platforms, ensuring reliability, scalability, and clear interface contracts.

Lead Databricks Engineering and Platform Optimization

Develop, review, and optimize Databricks notebooks and workflows using PySpark and SQL; establish engineering standards for readability, maintainability, and reuse.
Implement and govern Delta Lake patterns for efficient storage, versioning, and ACID transactions, including retention, compaction, and schema evolution strategies.
Leverage and administer Databricks capabilities (Unity Catalog, job orchestration, cluster policies) to balance security, performance, and cost across environments.

Define Data Architecture, Modeling Standards, and Lakehouse Patterns

Design and evolve enterprise data models (star/snowflake and lakehouse-oriented models) to support analytics, reporting, and self-service consumption.
Partner with data/solution architects to define lakehouse architecture, reference patterns, and design reviews that improve scalability, resilience, and maintainability.
Lead implementation and optimization of Medallion Architecture (Bronze/Silver/Gold), defining SLAs, data contracts, and layering conventions for scalable, governed processing.

Establish Data Quality, Observability, and Governance Controls

Implement automated data validation, profiling, and cleansing routines; define quality rules, thresholds, and exception workflows aligned to business-critical datasets.
Ensure adherence to governance policies by implementing lineage, metadata, and cataloging practices; partner with governance stakeholders to close gaps and drive adoption.

Drive Performance Engineering, Monitoring, and Incident Resolution

Monitor and optimize Spark jobs and data pipelines, applying performance and cost tuning (cluster sizing, partitioning, caching, and query optimization).
Lead troubleshooting and root-cause analysis for latency, failures, and resource constraints; implement preventative fixes and improve runbooks/alerts to reduce recurrence.

Provide Technical Leadership and Stakeholder Partnership

Partner with data scientists, analysts, and business stakeholders to shape data strategy, clarify requirements, and prioritize delivery based on value, risk, and dependencies.
Translate business needs into durable technical designs (including data contracts and SLAs) and guide implementation to ensure solutions are scalable, maintainable, and supportable.

Engineer Secure-by-Design Data Solutions and Ensure Compliance

Implement and enforce secure data access patterns (RBAC/least privilege), encryption, secrets management, and secure network configurations across the data platform.
Ensure solutions meet applicable regulatory and internal compliance requirements (e.g., NERC CIP, GDPR, HIPAA where applicable) through controls validation, audit support, and documentation.

Advance Best Practices, Documentation, and Mentorship

Maintain clear documentation of data flows, architecture decisions, and operational procedures; create runbooks and knowledge transfer artifacts to support production operations.
Promote engineering excellence through code reviews, version control, automated testing, and CI/CD; mentor junior engineers and drive continuous improvement across the team.

Bachelor's degree in information systems, computer science or related technical field or equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.) Eight or more years of experience with advanced knowledge of data architecture, cloud platforms (especially Azure), and enterprise data solutions. Advanced proficiency with data engineering platforms and tools, particularly Azure Data Factory and Azure Databricks. Advanced knowledge of core data engineering practices, including data modeling, ETL/ELT pipeline development, and performance tuning for enterprise-scale applications. Experience across the data technology lifecycle, including solution design, development, optimization, administration, and licensing considerations. Prior experience in the utility industry, with exposure to relevant data domains and operational environments.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.

MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

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Data Metadata Analyst jobs in Des Moines, IA

Sr Data Engineer

Databricks Architect (Hybrid)

Assessment Data Domain Manager

Principal Data Engineer

Business Analyst (7+ years experience)

Senior Systems Manager, Financial Management Systems

Senior Data Systems Analyst

Data Analyst/ Healthcare

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