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Remote Data Engineer Jobs in Bellevue, NE (NOW HIRING)

Senior Data Engineer

Omaha, NE · On-site +1

$130K - $160K/yr

United States - Remote or Omaha, NE - Hybrid The job: As a Senior Data Engineer at Buildertrend, you'll lead the migration of our data platform onto a modern Databricks lakehouse, replacing today ...

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 ...

Data Scientist - AI Systems

Omaha, NE · Remote

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering ...

AI Engineer

Omaha, NE · Remote

$40 - $50/hr

Technical background with the ability to remain hands-on in code, testing, or data-related work ... Work Environment * 100% remote opportunity. * Fast-growing, startup-style environment.

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

Forward Deployed AI Engineer

Omaha, NE · On-site +1

$200K - $250K/yr

United States - Remote or Omaha, NE - Hybrid The job: As a Forward Deployed AI Engineer at ... Architect the integration and data layer that connects Buildertrend's business tools, including ...

The ideal candidate combines deep technical expertise in data architecture and engineering with strong communication and leadership skills. They will leverage modern development practices, including ...

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Remote Data Engineer information

See Bellevue, NE salary details

$42.2K

$122.9K

$168.1K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Bellevue, NE is $122,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What job categories do people searching Remote Data Engineer jobs in Bellevue, NE look for?

The top searched job categories for Remote Data Engineer jobs in Bellevue, NE are:

What cities near Bellevue, NE are hiring for Remote Data Engineer jobs?

Cities near Bellevue, NE with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Bellevue, NE as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,875 per year, or $59.1 per hour.

Senior Data Engineer

Omaha, NE • On-site, Remote

Buildertrend
Software Development • 501 - 1,000 employees

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Compensation: $130,000-$160,000 per year
Location: United States - Remote or Omaha, NE - Hybrid

The job:

As a Senior Data Engineer at Buildertrend, you'll lead the migration of our data platform onto a modern Databricks lakehouse, replacing today's patchwork of legacy systems with a single, reliable source of truth. You'll design the pipelines that bring in data from tools like Salesforce, SQL Server and Gong, turning it into curated, trustworthy datasets that teams across the business, and the AI tools built on top of them, can rely on without double-checking the numbers. Your work directly cuts down on the manual firefighting that eats into engineering time today, and sets the technical standards other engineers will build on for years. By the end of your first year, you'll have carried a major legacy system migration to completion and be stepping into a mentorship or leadership role on the team.

What you will do:

  • Design, build and maintain Buildertrend's Databricks lakehouse using a medallion (bronze, silver, gold) architecture in dbt, and set the layer standards, naming conventions and build rules other engineers follow.

  • Build ELT pipelines with Databricks, dbt and Fivetran that bring in data from SQL Server, Salesforce, MongoDB, Gong, OpenTelemetry and vendors like Zonda, turning it into curated, analytics- and AI-ready datasets.

  • Lead the exit from legacy systems like BigQuery, Data Fusion and Cloud Fusion by refactoring pipelines rather than copying them over as-is, untangling circular dependencies, and repointing tools like Tableau to the new platform with clear owners and deadlines.

  • Strengthen reliability by improving SQL Server log-ship replication and Fivetran ingestion, and by building automation like auto-recovery, full-refresh jobs and watchdog orchestration that cuts down on manual fixes and outages.

  • Build data quality checks, freshness monitoring and quality metrics using dbt tests, Unity Catalog and Fivetran metadata, so stakeholders can trust the numbers without double-checking them.

  • Design access controls for large datasets, including permission models, per-team clusters, service principals and scoped access for AI tools, and handle privacy requests through tools like DataGrail to meet CCPA requirements.

  • Set up data contracts with product engineering so upstream schema changes don't silently break the warehouse, and write documentation (data dictionary, ERDs, spec docs, column notes) clear enough for people and AI tools to use.

  • Build and improve the curated data products that let stakeholders and customers turn raw data into decisions.

  • Partner with engineers, analysts, business leaders and other stakeholders to prioritize work, manage dependencies and deliver meaningful platform improvements.

  • Mentor other engineers, contribute to architectural decisions, evaluate emerging technologies and grow toward a technical leadership role while using AI thoughtfully to improve productivity and engineering outcomes.

Who you are and what you need:

  • Bachelor's degree in computer science, software engineering or a related field is required.

  • 5+ years of experience in data engineering, data science or data analytics.

  • Previous experience at a B2B SaaS company is preferred.

  • Proven experience leading a data platform migration, such as moving off a legacy warehouse onto a modern lakehouse, from planning through delivery, including setting deadlines and owning the outcome.

  • Experience partnering with Data Science, ML, or AI teams, including building and curating datasets to support model development and experimentation.

  • Hands-on experience with Databricks, Unity Catalog and dbt. Experience with BigQuery, Snowflake and Fivetran is a plus.

  • Strong proficiency in SQL, Microsoft SQL Server, Python and working with APIs and large, complex datasets.

  • Deep understanding of data modeling, ETL and ELT pipelines, medallion architecture and building analytics and machine learning-ready datasets.

  • Experience writing data tests, setting up freshness and alerting monitors, and building access controls or governance policies in a live production environment (not just in a sandbox or one-off project).

  • Strong communication skills, with the ability to explain technical tradeoffs to both engineers and non-technical stakeholders, especially during a system migration where people need clear, direct answers about what's changing and when.

  • Demonstrated experience mentoring engineers, reviewing technical work and influencing engineering standards, with an interest in growing into a leadership role.

  • A practical approach to new tools and technologies, including AI: willing to try things that solve a real problem, but not inclined to chase every new release just because it's new.

We are giving you:

  • Exceptional health packages, including medical, dental, and vision coverage, plus life insurance and short- and long-term disability benefits

  • A 401(k) plan with Buildertrend matching contributions to help you plan for the future

  • Generous paid time off, 11 paid holidays, plus personal days to make sure you have time to recharge

  • Parental leave and paid sabbaticals to support you during life's big moments

  • Volunteer time off - because giving back matters

  • Wellness program and onsite fitness center to keep you feeling your best

  • Opportunities for hybrid or remote work to give you the flexibility you need

  • Technology reimbursement to help cover costs for the tech you need to do your job from home

  • Free daily lunches when you're at our HQ office, plus monthly events to connect with your team

Who we are:

Great builders don't just manage projects - they run successful businesses. That's where Buildertrend comes in. As the leading residential construction management platform, we give contractors the power to control their financials, schedules, team workflows and client relationships - all in one system. No more juggling disconnected tools or guessing on profitability. With nearly two decades of industry expertise, Buildertrend helps builders work smarter, scale faster and stay ahead of the competition. If you want to learn more about us, check out: https://buildertrend.com/about/

Working at Buildertrend:

At Buildertrend, we fully recognize that we all work so we can live better lives-we appreciate and respect that this is a job and not your whole life. What makes Buildertrend so special is a commitment to ensuring you can have the best job, work with the best people, and live your best life outside of work. Our goal is to create a culture where everyone can make an impact on our customers, communities, and each other. In short: We want you to be who you are, love what you do, and build your best life.

Buildertrend Solutions, Inc. is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race, including natural or protective hairstyle, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy and pregnancy-related conditions, childbirth, breastfeeding, sexual orientation, gender identity, gender expression, sexual orientation, reproductive decision-making), age, physical or mental disability, veteran or military status, genetic information, citizenship, marital status, or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A "reasonable accommodation" is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Buildertrend Solutions, Inc. Please inform the company's personnel representative if you need assistance completing this application or to otherwise participate in the application process. To see the complete list of Essential Job Functions, visit https://buildertrend.com/essential-job-functions-notice/