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Remote Azure Data Engineer Jobs in Nebraska (NOW HIRING)

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... remote support.

Barbaricum

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... limited remote support. EEO Commitment All qualified applicants will receive consideration for ...

Deloitte

Databricks Engineer

Omaha, NE · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

WoodmenLife

Cloud Engineer III

Omaha, NE · On-site +1

$113.02K - $159.59K/yr

Remote (U.S.) with optional hybrid work from our Omaha office Reports To: Manager, Systems ... Advance Azure Landing Zone components (governance, identity, network, security) to support ...

HDR

Lead Data Platform Engineer

Omaha, NE · Remote

$98.10K - $129.10K/yr

In the role of Lead Data Platform Engineer, we'll count on you to: Define and own the data platform ... module strategy, remote state, promotion workflows, and drift management) across multiple ...

New

CSAA

Job Title IT Security Engineer - DLP and CASB Engineering - Remote Requisition Number R7642 ... AWS, Azure, GCP data-protection patterns * SIEM (Splunk), log pipelines, dashboards * Strong ...

Deckers

Director, Data Platforms & Engineering Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... Data and AI Architecture Leadership:Design, develop, and deploy AI and generative AI solutions ...

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Remote Azure Data Engineer information

See Nebraska salary details

$42.4K

$123.7K

$169.2K

How much do remote azure data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote azure data engineer in Nebraska is $123,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.
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Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Nebraska as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,678 per year, or $59.5 per hour.
Data Engineer

Data Engineer

Barbaricum

Omaha, NE • On-site, Remote

$109.50K - $131.50K/yr

Other

Posted 10 days ago

Job description

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska. This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise.
 

Responsibilities:

  • Design, implement, and operate data management systems for intelligence needs
  • Use Python to automate data workflows
  • Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
  • Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
  • Assist and advise the Government with developing, constructing, and maintaining data architectures
  • Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
  • Align data architecture, acquisition, and processes with intelligence and analytic requirements
  • Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
  • Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Qualifications:

  • Active DoD Top Secret/SCI clearance required
  • 8+ years of demonstrated experience in software engineering
  • Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
  • 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
  • Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • 3+ years of experience using analytical concepts and statistical techniques
  • 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support.

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