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Contract Geospatial Data Engineer Jobs in Iowa (NOW HIRING)

Sr Data Engineer

Des Moines, IA · On-site

$117K - $146K/yr

Translate business needs into durable technical designs (including data contracts and SLAs) and ... Engineer Secure-by-Design Data Solutions and Ensure Compliance * Implement and enforce secure data ...

Sr Data Engineer

Des Moines, IA · On-site

$117K - $146K/yr

Translate business needs into durable technical designs (including data contracts and SLAs) and ... Engineer Secure-by-Design Data Solutions and Ensure Compliance * Implement and enforce secure data ...

Sr Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Translate business needs into durable technical designs (including data contracts and SLAs) and ... Engineer Secure-by-Design Data Solutions and Ensure Compliance * Implement and enforce secure data ...

Sr Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Translate business needs into durable technical designs (including data contracts and SLAs) and ... Engineer Secure-by-Design Data Solutions and Ensure Compliance * Implement and enforce secure data ...

Work with engineering and field teams to ensure GIS records reflect real-world network conditions ... Familiarity with GIS concepts such as layers, attributes, and geospatial data management * Ability ...

The Opportunity The Geospatial & Reality Capture Manageris responsible forleading the development ... data collection, efficient workflows, and actionable deliverables supporting engineering and ...

... Geospatial Data Services team! Why our employee-owners love SEH: * "I was on vacation last week and ... Improving Mobility. SEH is an employee-owned engineering, architectural, planning, and ...

... geospatial technologies and ensures high-quality data collection, efficient workflows, and actionable deliverables supporting engineering and infrastructure projects. What You'll Do * Develop and ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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Contract Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a Contract Geospatial Data Engineer, and why are they important?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

What are Contract Geospatial Data Engineers?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are some common challenges faced by Contract Geospatial Data Engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.
What are the most commonly searched types of Geospatial Data Engineer jobs in Iowa? The most popular types of Geospatial Data Engineer jobs in Iowa are:
What are popular job titles related to Contract Geospatial Data Engineer jobs in Iowa? For Contract Geospatial Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Contract Geospatial Data Engineer jobs in Iowa look for? The top searched job categories for Contract Geospatial Data Engineer jobs in Iowa are:
What cities in Iowa are hiring for Contract Geospatial Data Engineer jobs? Cities in Iowa with the most Contract Geospatial Data Engineer job openings:
Sr Data Engineer

$117K - $146K/yr

Full-time

Posted 14 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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.
Responsibilities
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.

Qualifications
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.
About Us
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.
About the Team
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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