1

Databricks Data Engineer Jobs in Iowa (NOW HIRING)

Data Analytics and Data Engineering * Define platform expectations and workload strategies (e.g., Databricks, Fabric) to support analytics and AI use cases. * Partner with IT to ensure platform ...

Data Analytics and Data Engineering * Define platform expectations and workload strategies (e.g., Databricks, Fabric) to support analytics and AI use cases. * Partner with IT to ensure platform ...

Data Security Consultant

Nevada, IA · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Data Security Consultant

Nevada, IA · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ...

Ability to work with geospatial data to support engineering and process improvement initiatives. * Experience with analytical platforms and programming languages such as Databricks, Python, and R.

... engineering, remote sensing analysis, satellite imagery, or precision agriculture datasets. * Experience working with Databricks, Apache Spark, distributed computing, and large-scale data processing ...

Showing results 41-60

Databricks Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do databricks data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for databricks data engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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

The most popular types of Databricks Data Engineer jobs in Iowa are:

What are popular job titles related to Databricks Data Engineer jobs in Iowa?

For Databricks Data Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Iowa look for?

The top searched job categories for Databricks Data Engineer jobs in Iowa are:

Infographic showing various Databricks Data Engineer job openings in Iowa as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

Data Director

Des Moines, IA • On-site

Other

Retirement, PTO

Posted 29 days ago


Job description

Overview

The Director of Data defines Kemin’s enterprise data strategy and provides architectural direction, standards, and prioritization to enable analytics, business intelligence, and AI initiatives. Operating within a hybrid model, this role sets enterprise data architecture expectations and governance while closely partnering with IT teams responsible for execution and platform operations. The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business value.

Join the Kemin Team and Transform Lives!

We are a privately held, family-owned-and-operated global biotechnology company driven by curiosity and committed to transforming the quality of life for people, pets, and the planet.

We create solutions that strengthen health and wellbeing, provide nutrition and immune support for pets and production animals, safeguard the planet’s natural resources, and protect the global food supply chain for generations to come.

We supply over 500 specialty ingredients for various industries, including human and animal health and nutrition, pet food, aquaculture, nutraceutical, food technologies, crop technologies, textiles, biofuels, and animal vaccines.

We employ 3,500 global employees and operations in 90 countries, including manufacturing facilities in Belgium, Brazil, China, Egypt, India, Italy, San Marino, Singapore, South Africa, and the United States.

As a valued member of our team, you'll enjoy a comprehensive benefits package designed to support your financial, physical, and professional well-being:

  • Competitive Financial Package: Enjoy a rewarding salary, uncapped bonus opportunities, a 401k match program, and generous paid vacation and holidays.
  • Health and Wellness Support: Stay fit and healthy with our fitness reimbursement for the whole family, access to an on‑site fitness center, a restaurant offering seasonal fresh food options, and free fresh fruit in break areas.
  • Career Development and Advancement: Unlock your potential with opportunities for growth and development throughout your entire career.
  • Continued Learning Opportunities: Grow your skills with our in‑house learning platforms, offering thousands of training resources both live and online, and take advantage of tuition reimbursement for external post‑secondary pursuits.
  • Service Opportunities: Make a positive impact with paid time off for service, partnerships with The World Food Programme and Habitat for Humanity, and local community initiatives.
Responsibilities

Enterprise Data Strategy & Direction

  • Establish the enterprise data strategy and target‑state architecture that supports analytics, AI, and decision‑making use cases.
  • Translate business, Operations, Finance, R&D, etc. priorities into clear data architecture and sequencing guidance.
  • Define what "analytics-ready" and “AI-ready” data means at Kemin and ensure alignment across teams.

Data Standards & Oversight

  • Define and maintain data standards, patterns, and design principles for structured and unstructured data.
  • Provide functional leadership and architectural direction to data architecture resources operating within IT.
  • Chair or co‑chair architecture governance forums to review designs, resolve tradeoffs, and approve exceptions.

Data Governance, Quality & Trust Enablement

  • Define governance frameworks, roles, and accountability models aligned to high‑value data domains.
  • Set data quality thresholds and improvement priorities based on analytics and AI business needs.
  • Partner with IT and business data owners to remediate critical data quality issues and improve usability.

Data Analytics and Data Engineering

  • Define platform expectations and workload strategies (e.g., Databricks, Fabric) to support analytics and AI use cases.
  • Partner with IT to ensure platform decisions are aligned to data strategy rather than infrastructure convenience alone.
  • Ensure priority AI pilots and analytics initiatives are supported by appropriate data foundations and pipelines.

Cross Functional Leadership & Development

  • Partner with Finance to define ROI measurement frameworks and baseline metrics for data and AI investments.
  • Align stakeholders on priorities, trade offs, and sequencing when data quality or architecture constraints exist.
  • Communicate data strategy, progress, and risks clearly to senior leadership in business terms.
Qualifications
  • Education and Experience:
    • Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related experience.
  • Strong executive communication skills; able to translate data strategy into business outcomes for non-technical leadership.
  • Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments.
  • Demonstrated success improving data quality, trust, and usability across fragmented systems and legacy platforms.
  • Experience partnering with IT architecture and engineering teams while setting enterprise data standards, priorities, and design expectations.
  • Strong understanding of modern data platforms (e.g., lakehouse architectures) and their role in enabling analytics and AI.
  • Proven ability to influence senior stakeholders and drive alignment without direct authority.
  • Experience establishing or scaling data governance frameworks, stewardship models, or domain ownership structures.

We are an equal opportunity employer. We consider all qualified applicants without regard to race, color, creed/religion, national origin, ancestry, citizenship or immigration status (where applicable), sex, sexual orientation, gender identity or expression, pregnancy/childbirth/breastfeeding or related conditions, age (40+), disability (including the use of a service animal), genetic information, marital status, familial or caregiver status, military or veteran status, status as a victim of domestic violence, reproductive health decision‑making, and any other status protected by applicable federal, state, or local law. We also prohibit retaliation for raising concerns or participating in an EEO process. Applicants who need a reasonable accommodation to apply or interview can email TalentAcquisition.US@Kemin.com.

A post-offer background check and drug screen is required. Additional pre-employmentrequirementsmay be necessarybased onposition.

Kemin is a drug-free and tobacco-free campus.

#J-18808-Ljbffr