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Databricks Engineer Jobs in Nebraska (NOW HIRING)

Senior Data Engineer

Lincoln, NE · Hybrid

$92.30K - $125.40K/yr

... data is engineered, trusted, and used across the organisation.You'lldesign, build ... Databricks, and Spark) and/or our industrialInternet of Things (IOTT)data ecosystembuilt around ...

Senior Data Engineer

Lincoln, NE · Hybrid

$92.30K - $125.40K/yr

... data is engineered, trusted, and used across the organisation.You'lldesign, build ... Databricks, and Spark) and/or our industrialInternet of Things (IOTT)data ecosystembuilt around ...

Enterprise Data Engineer

Lincoln, NE

$99.70K - $119.70K/yr

Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI beneficial but not essential) * Strong data engineering experience of at least 3-5 years * Experience ...

Enterprise Data Engineer

Lincoln, NE · On-site

$99.70K - $119.70K/yr

Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI beneficial but not essential) * Strong data engineering experience of at least 3-5 years * Experience ...

Enterprise Data Engineer

Lincoln, NE · On-site

$99.70K - $119.70K/yr

Previous experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis services, PowerBI * Dimensional data modelling

... 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 ...

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 ...

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 ...

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

$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

$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 ...

Data Engineer

Omaha, NE · On-site

$96.10K - $115.40K/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 ...

Data Engineer

Omaha, NE

$96.10K - $115.40K/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 ...

... engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience developing ML models from ...

... engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • Experience developing ML models from ...

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Showing results 1-20

Databricks Engineer information

See Nebraska salary details

$56.7K

$106.4K

$193.5K

How much do databricks engineer jobs pay per year?

As of May 31, 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 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 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.

How much does a Databricks engineer make?

A Databricks engineer's salary 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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
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 May 2026, with employment types broken down into 2% As Needed, 81% Full Time, 7% Part Time, 6% Contract, and 4% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $106,435 per year, or $51.2 per hour.

Senior Data Engineer

Awg

Lincoln, NE • Hybrid

$92.30K - $125.40K/yr

Full-time

Medical, Life, PTO

Posted 12 days ago


Job description

SalaryCirca 64k(dependent on skills & experience)

Permanent / 37 hours per week / Full-time (with flexibility for part-time working)

Huntingdon,Lincolnor Peterborough Office (depending on your location) - Hybrid

Shaping the future of data engineeringin Anglian Water

As a Senior Data Engineer at Anglian Water,you'llbe a technical leader and mentor, playing a pivotal role in shaping how data is engineered, trusted, and used across the organisation.You'lldesign, build, andmaintainrobust, scalable data pipelines that ingest, process, and store large volumes of data from a wide range of sources, enabling smarter decisions that directly support our critical services.

Working at the heart of our enterprise data platforms,you'llcontribute to our cloud-based analytics environment (including Azure, Databricks, and Spark) and/or our industrialInternet of Things (IOTT)data ecosystembuilt around MQTT, unified namespace architecture, and modern edge-to-cloud integration patterns.You'lldevelop high-quality, reusable data products that transform raw and streaming data into trusted, analytics-ready assets.You'lltake ownership of the reliability and performance of our data pipelines and integrations, proactivelymonitoring, troubleshooting, and resolving issues to ensure uninterrupted access to critical data.

Collaboration will be central to your role.You'llwork closely with product owners, platform engineers, data scientists, and analysts to understand evolving data needs and ensure efficient, well-designed data flows that power analytics and reporting.You'llalso optimise and manage data storage solutions, including data lakes, warehouses, and databases, ensuring they are secure, performant, andhighly available.

With a strong focus on automation,you'lluse scripting and programming to streamline data processing and reduce manual intervention.You'llchampion best practices in data engineering, security, and compliance, while documenting processes and workflows to support consistency, maintainability, and knowledge sharing across teams.

This is a role where you can make a real impact-technically, strategically, and through mentoring others-helping Anglian Water unlock the full value of its data.

What you will be doing

The Senior Data Engineer will lead the design, build, and operation of scalable, secure data pipelines and integrations, transforming complex data from multiple sources into high-quality, analytics-ready data products.You will ensure data platforms are reliable, performant, and compliant by embedding data quality controls, validation rules, observability, automation, and governance throughout the full data lifecycle

The role involves close collaboration with product owners, data scientists, analysts, architects, cyber, and engineering teams to shape solutions that meet business and technical needs..Alongside hands-on delivery, you will act as a technical authority within the data engineering discipline-defining guardrails, setting engineering standards, reviewing designs and code, mentoring engineers, and championing reusable patterns, automation, and high-quality delivery across teams

You'llcontinuously developyourown skills, stay abreast of emerging technologies, and contribute innovative ideas to improve data engineering capabilities. Through problem-solving, knowledge sharing, and leadership, they will help build scalable, future-ready data solutions that support Anglian Water's strategic goals.

What does it take to be aSenior Data Engineer?

We'relooking for a confident and collaborative professional who can communicate clearly and influence effectively, advocating for ideas and solutions across both internal and external forums.You'llbring strong analytical, problem-solving, and troubleshooting skills, with the ability to work through complex challenges in a structured and pragmatic way.

You'llbe comfortable working in a team-based environment, building positive relationships and collaborating with others to deliver shared outcomes, while also being able tooperateindependently in ambiguous or fast-moving situations. A working knowledge of service management processes, including change, incident, and problem management, will enable you to contribute to stable, well-managed services.

An understanding of water industry standards and regulations isadvantageous, alongside a mindset that values learning, adaptability, and continuous improvement.

Skills and experience:

Essential

  • Demonstrable extensive experience (typically 5+ years) in Data Engineering, delivering scalable, production-grade data solutions.

  • Strong understanding of distributed processing, data modelling, and performance optimisation.

  • Experience building andoperatingrobust data pipelines across batch and/or real-time streaming architectures.

  • Strong knowledge of data engineering principles including data quality, observability, automation, CI/CD, testing strategies, and secure-by-design practices.

  • Proficiencyin structured query and data transformation techniques, with the ability to write efficient, maintainable, and scalable data logic.

  • Strong programming capability in a language suited to data engineering (e.g., Python, Scala, SQL).

  • Experience working collaboratively in cross-functional, agile teams.

  • Proven experience mentoring, reviewing code, and contributing to engineering standards and best practice.

  • Experience with modern cloud-based data platforms and/or industrial data integration technologies (e.g., Azure, Databricks, Spark, Delta Lake, MQTT brokers, unified namespace architectures, or similar).

Desirable

  • Experience working with Service Management processes (Change, Incident, Problem, Event, Configuration).

  • Recognised certification in a relevant technical discipline.

  • Understanding of water industry standards and regulatory environments.

What'sin it for you?

  • Private healthcare and physiotherapy

  • 24-hour Virtual GP service for you and your household

  • 26 days annual leave (rising with service)

  • Competitive pension scheme - Anglian Water double-matches your contributions up to 7% (up to 21% combined)

  • Bonus scheme

  • Flexible benefits and working culture

  • Life Assurance (8 salary) and Personal Accident cover

  • Enhanced family leave policies

  • Great discounts andperks

Why apply?

This is a chance to work on data engineering that truly matters. At Anglian Water, the data you build and manage directly supports critical services that millions of people rely on every day, from water quality and resilience to sustainability and customer experience.

You'llwork with modern, cloud-based technologies across Azure, Databricks, and Spark, solving complex data challenges at scale. As a Senior Data Engineer, youwon'tjust deliver solutions-you'llshape standards, influence technical direction, and mentor others, playing a key role in growing our data engineering capability.

The role offers real scope for development, with time dedicated to learning, experimentation, and innovation.You'llcollaborate with talented, supportive teams across engineering, architecture, cyber, and analytics, in an environment that values quality, automation, and continuous improvement.

Ifyou'rean experienced data engineer who wants to combine deep technicalexpertisewith technical leadership, and the opportunity to shape how data engineering is done at scale-this is the role to make that impact

Closing date:7th June 2026

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