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Data Engineer Data Jobs in Nebraska (NOW HIRING)

Snowrelic Inc

ETL Data Engineer (W2 Full Time)

Omaha, NE · On-site

$109K - $131K/yr

Data Engineer; Operational Data Group Location: Onsite in Omaha, Nebraska Department: Enterprise Technology Group - Architecture & Development We are seeking a skilled, Mid-Senior level Data Engineer ...

HDR

Senior Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

In the role of Senior Data Engineer, we'll count on you to: Design scalable pipelines and transformation strategies for high-volume and complex domains. Define model patterns and conformed entities ...

HDR

Senior Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

In the role of Senior Data Engineer, we'll count on you to: • Design scalable pipelines and transformation strategies for high-volume and complex domains. • Define model patterns and conformed ...

HDR

Senior Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

In the role of Senior Data Engineer, we'll count on you to: Design scalable pipelines and transformation strategies for high-volume and complex domains. Define model patterns and conformed entities ...

The Reserves Network Inc

Senior Data Architect

Omaha, NE · On-site

$45 - $67/hr

This individual will work across architecture, engineering, and implementation responsibilities while partnering with business and technology teams to ensure data is accurate, accessible, and aligned ...

Mars

Site Industrial Data Engineer

Fremont, NE · On-site

The Site IE data engineer will partner with the site teams to develop and execute the overall site FI activities to improve site performance by improving data management. They will be responsible for ...

Kemper

Senior Data Systems Analyst

Omaha, NE

The Data Systems Analyst serves as an independent quality function within the Data Engineering ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

Monitise

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Job Title Principal, Data & AI Platform Engineer About the Role Design, build, and operate a secure, onpremise analytics and AI platform that unifies transactional data from PostgreSQL, DynamoDB, and ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Nebraska? For Data Engineer Data jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Nebraska look for? The top searched job categories for Data Engineer Data jobs in Nebraska are:
What cities in Nebraska are hiring for Data Engineer Data jobs? Cities in Nebraska with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
ETL Data Engineer (W2 Full Time)

ETL Data Engineer (W2 Full Time)

Snowrelic Inc

Omaha, NE • On-site

$109K - $131K/yr

Full-time

Re-posted 3 days ago

Job description

Job Description:

 
Role: Data Engineer; Operational Data Group
Location: Onsite in Omaha, Nebraska
Department: Enterprise Technology Group – Architecture & Development
 
We are seeking a skilled, Mid-Senior level Data Engineer to join our Operational Data Group.
 
In this role, you will design, develop, test, and maintain ETL processes that transform raw data into trusted, actionable information. You will work with modern tools and data platforms to support critical decision-making across the organization, ensuring data is accurate, timely, and aligned with our corporate data architecture.
 
What You’ll Do
Develop, enhance, and maintain complex ETL pipelines using tools like Informatica, DataStage, or DBT, and adapt them as business requirements evolve.
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 support to maintain stable, high-performing systems.
Contribute to dimensional and relational data modeling, source-to-target mappings, and performance tuning.
Partner with developers, analysts, and business stakeholders to deliver solutions that meet operational and strategic needs.
 
Technical Skills
7+ years in data engineering, including ETL tools (Informatica, DataStage, DBT, etc.)
5+ years SQL programming
5+ years Python or Shell scripting
5+ years developing or deploying cloud-based solutions (AWS, Azure, or Google Cloud preferred)
Strong background in data modeling, data warehousing, and performance tuning
 
Education:
Bachelor’s degree in Computer Science, MIS, or related field with 5+ years of experience in an enterprise level environment
Experience in the insurance industry is helpful but not required.
Willingness to participate in an on-call rotation.