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Senior Data Analytics Engineer Jobs in Nebraska (NOW HIRING)

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role ... to expand into senior engineering, architecture, or AI leadership roles as the organization ...

Snapchat

Senior Data Scientist, Level 5

Bellevue, NE

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver ... Collaborate with product managers, engineers, product marketers, and designers * Think creatively ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or other applicable degree. • Experience in analytics, BI, or data roles with demonstrated ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

Partner with analysts to translate business questions into durable data models. Implement models ... Engineering, or other applicable degree. Experience in analytics, BI, or data roles with ...

Leidos

Senior Data Systems Manager

Omaha, NE · On-site

$87K - $157K/yr

Leidos has an immediate opportunity for a Senior Data Systems Manager to help architect and manage ... Our engineers are at the forefront of defining and building solutions to address the challenges ...

Leidos

Senior Data Systems Manager

Omaha, NE · On-site

$87K - $157K/yr

Leidos has an immediate opportunity for a Senior Data Systems Manager to help architect and manage ... Our engineers are at the forefront of defining and building solutions to address the challenges ...

CSAA

Collaborate with engineers and architects on hub configuration and solution design, integration ... analytics use cases. * Working knowledge of data mastering and transformation concepts ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Nebraska

Senior Data Analytics Engineer information

See Nebraska salary details

$77.2K

$120.4K

$166.9K

How much do senior data analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior data analytics engineer in Nebraska is $120,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Nebraska? The most popular types of Data Analytics Engineer jobs in Nebraska are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Nebraska? For Senior Data Analytics Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Nebraska look for? The top searched job categories for Senior Data Analytics Engineer jobs in Nebraska are:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Nebraska as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,448 per year, or $57.9 per hour.

Senior Data Engineer - Encounter Processing & Data Platform - Remote

Novalink Solutions LLC

Lincoln, NE • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Engineer – Encounter Processing & Data Platform



Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.


This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).

Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.

This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.

Primary Ownership

· Own the Scala/Spark application framework supporting Medicaid Encounter Processing.

· Own the Drools business rule implementation and ongoing rule maintenance.

· Own enterprise data ingestion processes for master data and source system files.

· Own Spark and Hive batch processing workflows.

· Own production issue investigation and application defect resolution.

· Own production releases, version management, and deployment coordination.

· Own application performance tuning and optimization.

· Own technical documentation, operational procedures, and knowledge transfer.

· Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.

Required Qualifications

· Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

· Strong hands-on development experience with Scala.

· Experience developing applications using Apache Spark 2.x and/or Spark 3.x.

· Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.

· Experience with Apache Hive 3.x for data processing and Hive table management.

· Experience implementing business rules using the Drools Rules Engine.

· Strong SQL development and query optimization skills.

· Experience supporting Linux-based production environments.

· Experience troubleshooting distributed Spark applications in production.

· Experience using Git and modern version control practices.

Preferred Qualifications

· Medicaid or healthcare experience.

· Experience with Medicaid Encounter Processing.

· Experience with Cloudera Manager, HDFS, and YARN.

· Experience integrating with IBM DataStage.

· Familiarity with AWS infrastructure supporting Cloudera.

· Experience with Agile, Jira, and Confluence.



Requirements
Type
Category
Qualification
Description
Competency
Required
Skills
Architecture
Cloudera Data
Advanced (7-9 Years)
Yes
Skills
Others
Distributed Data Processing
• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
Advanced (7-9 Years)
Yes
Skills
Others
Drools
Experience implementing business rules using the Drools Rules Engine
Proficient (4-6 Years)
Yes
Skills
Others
Scala
• Strong hands-on development experience with Scala.
Proficient (4-6 Years)
Yes
Skills
Others
SQL and Linux
• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments
Yes
Skills
Others
Apache experience
•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management.
Proficient (4-6 Years)
Yes
Skills
Others
Cloudera
• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions
No