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Remote Databricks Data Engineer Jobs in Omaha, NE

Data Center COE Project Manager

Bennington, NE · Remote

$116K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

Sr Integration Engineer

Omaha, NE · On-site +1

$99K - $133K/yr

... data-it's about connecting care, innovation, and outcomes. As a Sr Integration Engineer , you'll ... This role has the opportunity to work from home in a hybrid capacity, but not fully remote

Sr Cloud Engineer

Papillion, NE · On-site +1

$52.50 - $70.25/hr

We give our people real-time data to make faster, smarter decisions. Location This role is located ... This is not a hybrid or remote role and this role requires full time, in office attendance (M-F)

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Showing results 21-40

Remote Databricks Data Engineer information

See Omaha, NE salary details

$42.6K

$124.1K

$169.8K

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

As of Aug 8, 2026, the average yearly pay for remote databricks data engineer in Omaha, NE is $124,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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Sr. Business Intelligence Developer

Mutual of Omaha

Omaha, NE • On-site, Remote

Full-time

Retirement, PTO

Re-posted 7 days ago


Mutual Of Omaha rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

69th of 303 rated insurance


Job description

Sr. Business Intelligence Developer

Apply now Job no: 504984
Work type: Full Time Regular
Location: Remote
Categories: Project Management/Business Analyst

We are seeking a Business Intelligence (BI) Developer to join our team and help advance our modern data and analytics ecosystem. This role will focus on designing and delivering scalable data solutions in Snowflake, enabling high-quality reporting, analytics, and emerging AI-driven capabilities. This individual will partner closely with business stakeholders, data engineering, and analytics teams to deliver trusted, actionable insights while contributing to our transition toward modern, cloud-based BI and AI-enabled decisioning. This role may be filled at the Developer, Sr. Developer, or Lead Developer based on experience.

Please Note:  If the selected candidate for this role lives within a 50 mile radius of our home office located in Omaha, NE, there will be a one day per week in-office requirement on Wednesday of each week.

WHAT WE CAN OFFER YOU:

  • Estimated Salary (Levels have variable responsibilities and qualifications):
    • Business Intelligence Developer: $75,500 - $97,000 plus annual bonus opportunity.
    • Sr. Business Intelligence Developer: $86,000 - $114,000, plus annual bonus opportunity.
    • Lead Business Intelligence Developer:  $99,000 - $133,500, plus annual bonus opportunity.
  • 401(k) plan with a 2% company contribution and 6% company match.
  • Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

  • Design, develop, and maintain data models and datasets in Snowflake to support reporting and analytics. 
  • Build and optimize data pipelines and transformations to ensure high data quality, performance, and scalability. 
  • Translate business requirements into scalable, reusable data products that support multiple downstream use cases .
  • Collaborate with Business Stakeholders to enable reporting solutions (Power BI, Tableau, SSRS, and emerging analytics tools). 
  • Support data governance and standardization practices, including definitions, lineage, and quality controls. 
  • Contribute to modern BI architecture efforts, including migration from legacy platforms.
  • Explore and support AI enablement use cases, such as: 
    • Semantic layer optimization for AI consumption. 
    • Conversational analytics capabilities.
    • Data readiness for machine learning / AI solutions.
  • What Success Looks Like 
    • Delivers high-quality, scalable Snowflake-based data solutions. 
    • Accelerates the team's transition to modern BI and data product architecture. 
    • Enables self-service analytics and downstream AI use cases. 
    • Partners effectively with stakeholders to reduce rework and improve delivery speed. 
  • Why Join This Team 
    • Be part of a data modernization journey transitioning from legacy systems to Snowflake and next-gen BI platforms. 
    • Contribute to emerging analytics capabilities and emerging data products. 
    • Work in a collaborative environment focused on governance, scalability, and business impact. 
    • Drives increased adoption and effective use of data across business stakeholders. 

WHAT YOU'LL BRING:

  • Experience developing in Snowflake (data modeling, SQL development, performance tuning). 
  • Strong proficiency in SQL and data transformation techniques. 
  • Experience working with cloud-based data platforms and modern data architectures. 
  • Ability to translate business needs into scalable data solutions.
  • Strong problem-solving and collaboration skills. 
  • Experience developing and supporting BI/reporting solutions (e.g., Power BI, Tableau, SSRS, and emerging analytics tools). 
  • Experience consulting with stakeholders on data consumption, data literacy, and analytics adoption. 
  • You promote a collaborative culture, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
  • Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

PREFERRED:

  • Familiarity with: 
    • Semantic modeling and data product design.
    • Conversational analytics tools (e.g., Power BI Copilot, Snowflake Cortex, Sigma Agents). 
    • Python or other scripting languages.
  • Knowledge of data governance frameworks and best practices. 

We value unique experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

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Advertised: Jul 1, 2026 09:00 AM Central Daylight Time
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