ZipRecruiter

Log In

1

Data Engineer With Jobs in Nebraska (NOW HIRING)

Tenaska

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms. * Support administration and continuous improvement of enterprise data catalog, data ...

New

Lockheed Martin Corporation

Senior Database Engineer

NE

$100K - $136K/yr

... with USSTRATCOM data modelers on new data structures Assist AI / ML engineers with identifying and accessing data Help deliver capabilities for the Intelligence,Nuclear Planning, and Command and ...

Altamira Technologies Corp.

Mission Operations Engineer

NE · On-site

$65K - $89K/yr

Omaha, NE Altamira Technologies is seeking a Mission Operations Engineer with knowledge in data brokerage applications and data governance. This position will be co-located with the customer and ...

Kemper

Senior Data Systems Analyst

Omaha, NE · On-site

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 ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets using cloud and big data platforms. * Optimize model accuracy, scalability ...

next page

Showing results 1-20

All JobsData Engineer With JobsData Engineer With Jobs in Nebraska

Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Nebraska? For Data Engineer With jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Nebraska look for? The top searched job categories for Data Engineer With jobs in Nebraska are:
What cities in Nebraska are hiring for Data Engineer With jobs? Cities in Nebraska with the most Data Engineer With job openings:
Data Engineer With jobs near you
Data Governance Engineer

Data Governance Engineer

Tenaska

Omaha, NE • On-site

$104K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

New

Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Onsite: Omaha, NE
Position Summary:
Tenaska is seeking a Data Governance Engineer to help transform our enterprise data governance model from a traditional, manual approach into a modern, automated operating model powered by engineering practices and artificial intelligence.
This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management. The ideal candidate will build intelligent solutions that automate governance processes, improve data quality, strengthen metadata management, and enable teams across the organization to confidently leverage trusted data.
The Data Governance Engineer will play a key role in designing and implementing automated governance frameworks, developing AI-driven solutions, and partnering with technical and business stakeholders to create a scalable data ecosystem.
Essential Job Functions:
Automate Data Governance Processes
  • Develop AI agents and workflow automation solutions using AI coding tools, large language models (LLMs), APIs, Model Context Protocol (MCP), and enterprise data sources.
  • Design and implement automated governance controls directly within data pipelines to ensure trusted, compliant, and high-quality data reaches enterprise users and AI systems.
  • Develop Policy-as-a-code functions using modern engineering practices, including version control, testing, and deployment processes.

Advance Metadata Management & Data Discovery
  • Build and maintain automated metadata management frameworks to improve data cataloging, lineage visibility and data product management.
  • Implement and enhance enterprise data catalog capabilities through active metadata management and automated discovery frameworks.

Improve Data Quality & Reliability
  • Build and maintain automated data quality frameworks that proactively identify issues and anomalies.
  • Implement monitoring, telemetry, alerting, and data drift detection capabilities.
  • Evaluate and optimize data quality tools and processes to improve enterprise data trust.

Support Data Architecture & Platform Optimization
  • Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms.
  • Support administration and continuous improvement of enterprise data catalog, data quality, and master data management (MDM) platforms.
  • Help define requirements and evaluate solutions that support enterprise data strategy.

Drive Data Governance Adoption
  • Act as a bridge between technical teams, business stakeholders, data owners, data stewards, and risk/compliance partners.
  • Translate complex governance concepts into clear, practical processes that enable adoption across the organization.
  • Promote a culture of data ownership, accountability, and trust through self-service governance practices.

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 4-6 years of experience in data engineering, software engineering, or a highly technical data management role.
  • Experience designing, developing, and deploying production-grade software solutions.
  • Strong programming experience with:
  • Python
    • SQL
    • APIs
    • Version control tools (Git/GitHub)
    • Software Development Life Cycle (SDLC) practices
  • Experience working with modern data ecosystems, including cloud data platforms such as:
    • Microsoft Fabric
    • Snowflake
    • Databricks
  • Cloud data lakehouse and enterprise data warehouse architectures
  • Experience developing automated data quality frameworks, controls, monitoring, and validation processes.
  • Experience with metadata management, data cataloging, lineage, or data discovery solutions.
  • Understanding of master data management (MDM) concepts and enterprise data governance practices.
  • Experience collaborating with both technical teams and business stakeholders to drive data adoption and accountability.

Preferred Qualifications:
  • Experience building AI agents or intelligent automation solutions using:
    • Large Language Models (LLMs)
    • Enterprise APIs
    • Model Context Protocol (MCP)
    • AI coding tools and developer platforms
  • Experience with data catalog platforms such as Atlan or Data.world.
  • Experience with MDM platforms.
  • Experience implementing governance practices within complex enterprise environments.
  • Strong understanding of data security, compliance, and risk management principles.

Employee Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Generous sick leave
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

TENASKA IS AN EQUAL OPPORTUNITY EMPLOYER
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply