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Data Modeling Jobs in Omaha, NE (NOW HIRING)

Converys

Data Architect

Omaha, NE

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation. * Partner with business stakeholders to translate requirements into scalable data ...

Snowrelic Inc

ETL Data Engineer (W2 Full Time)

Omaha, NE · On-site

$109K - $131K/yr

Map source data to warehouse models, perform data quality checks, and resolve data issues early in the development cycle. Troubleshoot issues, manage code deployments, and provide rotational on-call ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$112K - $135K/yr

Solve complex data acquisition, modeling, and integration challenges across Milan's Snowflake platform incorporating holistic Customer 360 and business data. Collaborate with other engineers on the ...

New

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions. * Analyze large and complex datasets to identify trends, anomalies, performance ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

Solve complex data acquisition, modeling, and integration challenges across Milan's Snowflake platform incorporating holistic Customer 360 and business data. Collaborate with other engineers on the ...

New

Cnx

Senior Data Analyst - Analytics & Automation

Omaha, NE · On-site

$82K - $103K/yr

Use advanced Excel capabilities, including complex formulas, pivot tables, and data modeling, to support business analysis and reporting needs * Translate technical findings into clear, actionable ...

CONAGRA

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

Design and manage data models, validating them with stakeholders, architects, and governance partners. * Establish data quality checks, validation frameworks, and troubleshooting practices to ensure ...

Conagra Brands

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

Design and manage data models,validatingthem with stakeholders, architects, and governance partners. * Establish data quality checks, validation frameworks, and troubleshooting practices to ensure ...

Conagra Brands, Inc.

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

Design and manage data models, validating them with stakeholders, architects, and governance partners. * Establish data quality checks, validation frameworks, and troubleshooting practices to ensure ...

Snap, Inc.

Data Scientist, Level 4

Bellevue, NE

Expertise using data modeling skills to identify key product trends and new product opportunities * Ability to design implement, and track core metrics to analyze the performance of our products

Husch Blackwell LLP

Enterprise Data Analyst

Omaha, NE · On-site +1

Apply statistical and data-modeling techniques to answer business questions and support decision-making * Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and ...

Husch Blackwell Llp

Enterprise Data Analyst

Omaha, NE · On-site +1

Apply statistical and data-modeling techniques to answer business questions and support decision-making * Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and ...

Snapchat

Data Scientist, Level 4

Bellevue, NE

Expertise using data modeling skills to identify key product trends and new product opportunities * Ability to design implement, and track core metrics to analyze the performance of our products

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Data Modeling information

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How much do data modeling jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data modeling in Omaha, NE is $56.16, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $65.29 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are popular job titles related to Data Modeling jobs in Omaha, NE?

For Data Modeling jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Data Modeling jobs in Omaha, NE look for?

The top searched job categories for Data Modeling jobs in Omaha, NE are:

Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,816 per year, or $56.2 per hour.

Data Architect

Converys

Omaha, NE

$105K - $143K/yr

Full-time

Re-posted 23 hours ago

Job description

Position Summary

The Data Architect will help design, build, and evolve our nextgeneration enterprise data platform & data integration pipeline. This role is central to our transformation toward a modern, governed, cloudbased data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.)

The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decisionmaking.

Essential Duties & Responsibilities

Data Architecture & Modeling

  • Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.).

  • Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture.

  • Develop canonical and semantic data models to support analytics, reporting, and operational use cases.

  • Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation.

  • Partner with business stakeholders to translate requirements into scalable data structures.

Data Engineering & Pipeline Development

  • Build ELT/ETL pipelines using modern cloud-native tools and frameworks.

  • Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns.

  • Implement data quality rules, validation frameworks, and reconciliation logic.

  • Optimize Snowflake workloads for performance, cost, and reliability.

Cloud Data Platform Leadership

  • Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption.

Governance, Standards & Best Practices

  • Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models.

  • Ensure consistent use of canonical identifiers across systems and domains.

  • Promote data-as-a-product principles and guide teams toward reusable, scalable data assets.

Collaboration & Leadership

  • Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs.

  • Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms.

  • Provide architectural oversight for major data initiatives across the enterprise.

  • Support evolving business needs, as applicable.

Education, Experience, Competencies & Values

  • Bachelor's degree in computer science or relevant field from an accredited college or university, required.

  • 3-5- years of experience in data architecture, data engineering, required.

  • Strong data modeling expertise (conceptual, logical, physical).

  • Hands-on experience designing enterprise data architectures.

  • Advanced ELT/ETL development experience (preferably cloud-native).

  • Deep experience with cloud data warehouses, ideally Snowflake.

  • Proficiency in Python for data engineering and automation.

  • Strong SQL skills and experience with large-scale data processing.

  • Experience with data quality frameworks, metadata management, and lineage.

  • Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration).

  • Experience in the insurance industry, preferred.

  • Snowflake certification, a plus.

  • Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar.

  • Knowledge of MDM, canonical modeling, and governance frameworks.

  • Experience with Power BI or other BI tools.

  • Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Base salary range is $105,975 - $143,380. Individual compensation packages are based on a variety of factors that are unique to each candidate including location, skill set, experience, qualifications and education.

If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!

Apply