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Live In Data Platform Engineer Jobs in Iowa (NOW HIRING)

Sr Data Scientist

Des Moines, IA ยท On-site

$117K - $146K/yr

... platforms, including voice and video calls, chat, and email. Qualifications Bachelor's degree in computer science, mathematics, software engineering or a related technical field. Master's in data ...

Cloud Platform Engineer

Iowa City, IA ยท On-site

$48.50 - $64.75/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

... Ops" in DataOps) * Automation & Platform Engineering: Reduce operational toil by building self ... Data Quality Frameworks: Building automated "circuit breakers" that stop data from reaching the ...

Cloud Platform Engineer

Cedar Rapids, IA ยท On-site

$54.75 - $73.25/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Cloud Platform Engineer

Waterloo, IA ยท On-site

$52 - $69.25/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Cloud Platform Engineer

Clinton, IA ยท On-site

$52.75 - $70.50/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Cloud Platform Engineer

Davenport, IA ยท On-site

$53 - $70.75/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Cloud Platform Engineer

Sioux City, IA ยท On-site

$55.25 - $73.75/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

Cloud Platform Engineer

Des Moines, IA ยท On-site

$54.50 - $72.75/hr

We invest in our workforce through training, education, and career development, empowering ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Iowa? The most popular types of Data Platform Engineer jobs in Iowa are:
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Sr Manager Platform Development - Data Services (Databricks, AI)

Sr Manager Platform Development - Data Services (Databricks, AI)

NISC

Cedar Rapids, IA โ€ข On-site

Other

Posted 16 days ago


Job description

Company Overview:ย 

For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our "Members". Those Members are comprised primarily of 960+ utilities and broadbands across North America. Our mission is to deliver technology solutions and services that are Member-focused, quality driven and valued priced. Our Members have over 18 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Member's employees to compete effectively in the industry, while excelling in providing customer service to their end customers.ย 

NISC exists to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support.ย 


Position Overview:ย 

The Senior Managerย Platform Development -ย Data Services leads and evolves a high-performing organization spanningย data engineering, change data capture (CDC), business intelligence, and data curation. This leader owns the strategy, execution, development, and continuous improvement of NISC's enterprise data and analytics platforms - a cloud-based dataย lakehouseย that centralizes data from our enterprise software and makes it available for reporting, analytics, applications, and AI.ย 

The ideal candidate is both a technical leader and a strong people manager who can mentor established teams, foster innovation, and align platform capabilities with the needs of NISC's business and the Members it serves.


The Teams You'll Lead:

  • Data Engineering -ย builds andย operatesย theย lakehouseย and ingestion pipelines (Databricks, S3, Spark),ย assistsย curationย throughย medallionย layers.ย 
  • Change Data Capture (CDC) -ย owns the streaming pipeline of microservices that moves near-real-time data from our on-premises operational databases into the cloudย lakehouse.ย 
  • Business Intelligence -ย delivers enterprise and embedded reporting and leads the modernization of NISC's BI tooling and strategy.ย 
  • Data Curation -ย designs the customer-facing data layers that make data trustworthy, well-modeled, and ready for self-service analytics.ย Curatesย data into medallion architecture.ย ย 

Essential Functions:ย 

  • Lead, develop, and mentor technical teams across Data Engineering, CDC, BI, and Data Curation; own hiring, coaching, performance, career growth, and team health.
  • Define and execute the Data Services strategy and operating model, aligned with NISC's business objectives, data-driven decision-making, and AI-enabled solutions for Members.
  • Drive continuous improvement of CDC pipelines to enhance the speed, quality, and reliability of data moving from operational systems into the cloud lakehouse.
  • Oversee the design, development, and optimization of scalable data pipelines, the lakehouse, and analytics frameworks in AWS and Databricks.
  • Lead the BI platform modernization and go-forward BI strategy, including the semantic/curation layer and the self-service "bring your own tool" experience for customers.
  • Champion best practices in data governance, data quality, data cataloging, lineage, and reliability; treat security, privacy, and compliance as first-class platform capabilities.
  • Establish FinOps practices - cost modeling, forecasting, and optimization across the Databricks/AWS platform and Member usage tiers.
  • Identify opportunities to incorporate automation, AI, and advanced analytics into platform workflows and Member-facing products.
  • Promote collaboration and alignment between Data Services, Application Development, Product, and business stakeholders; reduce handoffs and clarify ownership.
  • Establish and track KPIs for platform performance, pipeline reliability, team productivity, cost, and business/Member impact.
  • Manage resource planning, prioritization, and delivery across multiple concurrent initiatives using a single, transparent intake and prioritization process.
  • Partner with senior leadership to translate business and Member needs into technical roadmaps and priorities.
  • Stay current on emerging data and AI technologies and bring innovative, practical solutions to improve platform capabilities.
  • Commitment to NISC's Shared Values and promotion of our cooperative spirit.
  • Other duties as assignedย 

Preferred Knowledge, Skills & Abilities:ย 

  • 6+ years in data engineering, analytics, or data platform roles, with 4+ years in formal people leadership.
  • Experience leading a cloud data platform migration or modernization, a BI tool replacement, or a self-service/"bring your own tool" data-access program.
  • Experience in utility, broadband, cooperative, or other regulated/Member-focused industries is a plus.ย 

TECHNICAL EXPERTISEย 

  • Strong experience with modern cloud data platforms - Databricks, Oracle, and AWS (S3, Lambda, Spark, Aurora/PostgreSQL, etc.).
  • Deep understanding of data engineering concepts: ETL/ELT, data modeling, the medallion/lakehouse pattern, streaming and batch processing.
  • Hands-on familiarity with Change Data Capture frameworks and streaming (e.g., log-based CDC, Debezium-style approaches, Kafka) and DevOps practices for data pipelines (Terraform, CI/CD).
  • Understanding of programming languages such as Python, Scala, or Java.
  • Familiarity with BI/reporting tool integration (Power BI, Tableau, AWS QuickSight) and data visualization best practices, plus semantic-layer and self-service analytics concepts.
  • Working knowledge of data governance, cataloging, and access control (e.g., Databricks Unity Catalog) and of identity/OAuth-based access patterns.
  • Working knowledge of AI/ML and GenAI integration within data ecosystems.ย 

LEADERSHIP & MANAGEMENTย 

  • Proven ability to lead, develop, and scale high-performing technical teams - ideally multiple teams or team leads.
  • Strong coaching and mentoring skills with a focus on employee growth and engagement.
  • Experience managing cross-functional teams and fostering collaboration across disciplines.
  • Ability to influence stakeholders and drive alignment at all organizational levels, especially through periods of change.ย 

STRATEGIC & OPERATIONAL SKILLSย 

  • Strong problem-solving and analytical thinking.
  • Experience defining and implementing technical strategy and multi-year roadmaps.
  • Ability to balance long-term vision with near-term execution and to prioritize amid competing demands.
  • Strong project and program management capabilities; experience introducing scalable intake and prioritization processes.
  • FinOps / cloud cost-management awareness.ย 

COMMUNICATION & COLLABORATIONย 

  • Excellent verbal and written communication skills.
  • Strong stakeholder management and relationship-building skills, including with Members.ย 

PERSONAL ATTRIBUTESย 

  • Innovative mindset with a focus on continuous improvement.
  • Results-driven, with strong ownership and accountability.
  • Adaptable and comfortable leading in a Member-focused, rapidly evolving environment.
  • Passion for leveraging data and technology to drive tangible value for NISC and its Members.ย 

Work Schedule:ย 

  • Hybrid from one of our office locations:
    • Atlanta, GA
    • Cedar Rapids, IA
    • Lake Saint Louis, MO
    • Mandan, ND
  • Hybrid Schedule:Minimum of working 3 day per week out of an office location and ability to work up to all 5 days a week from an office location.
    • Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose.
  • Virtual Office: Candidates working from a remote location within approved states will be considered for those who have applicable industry experience.

NISC's Shared Values & Competencies:ย 

We're a cooperative, which means we're ownedby the Members we serve. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line. Quality service and innovative technology starts with happy and dedicated employees. Join our team and learn for yourself what sets NISC apart.ย 

  • Integrity- We are committed to doing the right thing - always.
  • Relationships- We are committed to building and preserving lasting relationships.
  • Innovation- We promote the spirit of creativity and champion new ideas.
  • Teamwork- We exemplify the cooperative spirit by working together.
  • Empowerment- We believe individuals have the power to make a difference.
  • Personal Development- We believe the free exchange of knowledge and information is absolutely necessary to the success of each individual and the organization.ย 

Education Preferred:ย 

Bachelor's or master's degree in a Computer Science, Information Systems, Data/Analytics and/or related field (or equivalent experience).ย 


Minimum Physical Requirements:ย 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the essential functions of this position, employees must be able to see and communicate. Employees are regularly required to maintain a stationary position, move, and operate computer keyboards or office equipment.ย 


Disclaimer:ย 

Management may modify this job description by assigning or reassigning duties and responsibilities at any time.ย 

Key Words:

Data Engineering | AWS | Databricks | Snowflake | Lakehouse Architecture | Change Data Capture (CDC) | Streaming & Real Time Data Pipelines | Data Curation | Data Modeling | ETL Pipelines | Data Governance | AI | FinOps | Cloud Cost Optimization | Technical Leadership | People Leadershipย 


NISC logo

About NISC

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Lake Saint Louis, MO, US