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Junior Data Engineering Jobs in Iowa (NOW HIRING)

Berkshire Hathaway Energy

Sr Data Engineer

Des Moines, IA · On-site

$117K - $146K/yr

Lead Databricks Engineering and Platform Optimization * Develop, review, and optimize Databricks ... CD; mentor junior engineers and drive continuous improvement across the team. Qualifications ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Holmes Murphy

Data Engineer

West Des Moines, IA

$112K - $135K/yr

Provide guidance to junior engineers on best practices in data extraction, transformation, and loading. Qualifications: * Education: Bachelor's degree in computer science, data science, technology ...

Holmes Murphy

Data Engineer

West Des Moines, IA · On-site

$112K - $135K/yr

Provide guidance to junior engineers on best practices in data extraction, transformation, and loading. Qualifications: * Education: Bachelor's degree in computer science, data science, technology ...

Tata Consultancy Service Limited

Developer

Des Moines, IA · On-site

$85K - $125K/yr

Data Engineering & Processing • Build and maintain data ingestion, transformation, and processing ... Mentor junior developers and contribute to engineering standards and best practices. • ...

Emerson

Senior, Analytics Analyst

Marshalltown, IA · On-site

Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders. * Mentor junior analysts by providing guidance on ...

Emerson

Senior, Analytics Analyst

Marshalltown, IA

$81K - $108K/yr

Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders. * Mentor junior analysts by providing guidance on ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Iowa

Junior Data Engineering information

See Iowa salary details

$31.5K

$67.4K

$102.8K

How much do junior data engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for junior data engineering in Iowa is $67,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $75,100.00 per year, depending on experience, location, and employer.

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

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
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 Junior Data Engineering jobs in Iowa? For Junior Data Engineering jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Iowa look for? The top searched job categories for Junior Data Engineering jobs in Iowa are:
What cities in Iowa are hiring for Junior Data Engineering jobs? Cities in Iowa with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $67,439 per year, or $32.4 per hour.
Sr Data Engineer

Sr Data Engineer

Berkshire Hathaway Energy

Des Moines, IA • On-site

$117K - $146K/yr

Full-time

Posted 1 hour 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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