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Databricks Engineer Jobs in Nebraska (NOW HIRING)

... programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex ...

Software Engineer

Omaha, NE · Remote

$72K - $130K/yr

This role sits within a high-impact engineering team responsible for modernizing reporting ... Experience with Snowflake, Databricks, and migration of on prem workloads to cloud platforms

The Data Engineer will work closely with a small, collaborative team to improve data accessibility ... Familiarity with Azure cloud services and Databricks * Strong communication skills and ability to ...

Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with ...

Senior Data Architect

Omaha, NE

$64.25 - $86/hr

Experience with Data Lakes, Data Marts, and Warehouses (Azure Synapse, Snowflake, Databricks). * Tooling: Proficiency with modeling tools (Erwin, Embarcadero) and DevOps tools (Git, ADO). * Modern ...

... programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex ...

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. General * Fulfill mission ...

Business Intelligence Engineer

Kearney, NE

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. General * Fulfill mission ...

Business Intelligence Engineer

Kearney, NE · On-site

$44.25 - $57.25/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. General * Fulfill mission ...

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. General * Fulfill mission ...

BI Engineer , BI Center of Excellence

Lincoln, NE · On-site

$44.50 - $57.75/hr

Experience with Python, Spark, or Databricks for data engineering or transformation is preferred. * Familiarity with DevOps / GitRepo for BI, including deploy is preferred. To ensure a secure hiring ...

Data Engineer

Omaha, NE · On-site

$96K - $115K/yr

The Data Engineer will be responsible for designing, building, testing, and supporting data ... Snowflake or Databricks experience preferred * Salesforce API and data pipeline experience ...

Sr. Database Administrator

Omaha, NE · On-site +1

$120K - $145K/yr

... on Databricks experience to support and optimize enterprise data platforms. This role combines strong database administration expertise with modern data engineering capabilities, focusing on ...

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Databricks Engineer information

See Nebraska salary details

$56.7K

$106.4K

$193.5K

How much do databricks engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for databricks engineer in Nebraska is $106,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $126,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Nebraska? For Databricks Engineer jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Databricks Engineer jobs? Cities in Nebraska with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Nebraska as of June 2026, with employment types broken down into 76% Full Time, 16% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $106,435 per year, or $51.2 per hour.
Data Scientist

Full-time

Posted 7 days ago


Job description

Job Summary:
Agile Defense is a company focused on bringing adaptive innovation to support critical national missions. They are seeking a Data Scientist to build AI/ML solutions that enhance understanding of customers, markets, and operations through advanced analytics and machine learning, collaborating closely with business leaders and product teams.
Responsibilities:
• Conduct deep-dive analyses to understand customer behavior, market trends, and business performance
• Design and execute sophisticated experiments to test business hypotheses and measure feature impact
• Build predictive models that forecast business outcomes and identify growth opportunities
• Apply advanced statistical techniques to solve complex business problems across multiple domains
• Partner with business leaders to identify high-impact analytical opportunities and frame research questions
• Influence product and business strategy through data-driven insights and recommendations. Build analytical frameworks.
• Present complex findings to executive stakeholders in compelling, actionable formats
• Develop models for segmentation, recommendation systems, risk assessment, and optimization
• Create statistical models that quantify business impact and guide resource allocation decisions
• Collaborate with ML engineers to transition research models into production systems
• Establish statistical rigor and experimental design standards across the organization
• Build analytical tools and methodologies that other teams can leverage for their own insights
• Train and mentor stakeholders on analytical thinking and data interpretation
• Communicate complex statistical concepts to non-technical audiences in understandable ways
• Advocate for data quality and proper experimental design in business decision-making
• Contribute to the analytical capabilities and methodologies of the broader data team
Qualifications:
Required:
• 3+ years of experience regression analysis, and building predictive models for business applications with measurable impact
• Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
• Strong programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics
• Business acumen with proven ability to translate complex analytical findings into strategic business recommendations and actionable insights
• Machine learning expertise with experience building and validating models using scikit-learn, TensorFlow, or similar frameworks on platforms like Databricks
• Data analysis and visualization abilities using advanced analytics tools and integrating with business intelligence platforms (Tableau, PowerBI, Qlik)
• Database and analytical platform experience with SQL, statistical software, and modern data analysis environments
Preferred:
• Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
• Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
• Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
• Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar
• Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
• Analytics platform knowledge including experience with Advana
Company:
Agile Defense is an information technology company located in Reston. It is a sub-organization of Agile-BOT. Founded in 1998, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.