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Data Engineer Manager Jobs in Nebraska (NOW HIRING)

Data Engineer

Lincoln, NE ยท Hybrid

$100K/yr

The Data Engineer builds and maintains the ingestion pipelines, change-data-capture (CDC) streams ... Manage source-specific adapters across relational (SQL Server, Oracle), document (MongoDB), API ...

Data Engineer

Lincoln, NE ยท On-site

$100K/yr

The Data Engineer builds and maintains the ingestion pipelines, change-data-capture (CDC) streams ... Manage source-specific adapters across relational (SQL Server, Oracle), document (MongoDB), API ...

Data Engineer

Omaha, NE

$109K - $131K/yr

Warehouse Management: Design and optimize data environments, including Data Warehouses and Data ... Regularly guide junior developers on daily tasks, technical challenges, and career growth.

Data Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... shop to manage and track all areas of health, our Omaha office boasts a complimentary ...

Data Engineer

Omaha, NE ยท Hybrid

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... shop to manage and track all areas of health, our Omaha office boasts a complimentary ...

Data Engineer

Omaha, NE ยท Hybrid

$109K - $131K/yr

The Data Engineer works on internal Company applications, data solutions, and software applications ... shop to manage and track all areas of health, our Omaha office boasts a complimentary ...

Data Engineer 2

Omaha, NE ยท On-site

$109K - $131K/yr

... โ€ข Use dependency management patterns to ensure correct build order and reproducible ... Data Engineering, or equivalent practical experience. โ€ข Minimum 3 years of experience in data ...

Data Engineer 2

Omaha, NE

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ... Use dependency management patterns to ensure correct build order and reproducible transformations.

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Lead Data Engineer

Omaha, NE ยท On-site

$98K - $129K/yr

Onsite Job Type: Full-Time Reports To: Sr. Manager of Data Engineering Capstone IT is helping a premier client to hire an experienced Lead Data Engineer to lead the development and optimization of ...

ETL Data Engineer (W2 Full Time)

Omaha, NE ยท On-site

$109K - $131K/yr

Role: Data Engineer; Operational Data Group Location: Onsite in Omaha, Nebraska Department ... Troubleshoot issues, manage code deployments, and provide rotational on-call support to maintain ...

Senior Data Engineer

South Sioux City, NE ยท On-site

$65 - $80/hr

Support the replacement of Guidewire DHIC with an internally managed data solution * Modernize data ... Establish scalable data architecture and engineering standards * Improve enterprise reporting ...

Senior Data Engineer

South Sioux City, NE ยท On-site

$65 - $80/hr

Support the replacement of Guidewire DHIC with an internally managed data solution * Modernize data ... Establish scalable data architecture and engineering standards * Improve enterprise reporting ...

Remote-Senior Data Engineer

Lincoln, NE ยท On-site

$48.50 - $64.25/hr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary ... Own production releases, version management, and deployment coordination. Own application ...

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Showing results 1-20

Data Engineer Manager information

See Nebraska salary details

$42.4K

$123.7K

$169.2K

How much do data engineer manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer manager in Nebraska is $123,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Nebraska? The most popular types of Data Engineer jobs in Nebraska are:
What are popular job titles related to Data Engineer Manager jobs in Nebraska? For Data Engineer Manager jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Nebraska look for? The top searched job categories for Data Engineer Manager jobs in Nebraska are:
What cities in Nebraska are hiring for Data Engineer Manager jobs? Cities in Nebraska with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,678 per year, or $59.5 per hour.

$100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology and education services to more than 1,200 higher education institutions, nearly 12,000 K-12 schools, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.

The Data Engineer builds and maintains the ingestion pipelines, change-data-capture (CDC) streams, and Bronze-layer infrastructure that bring source-system data into Snowflake reliably, on time, and at the right grain. The Data Engineer ensures data is complete, ordered, and historically preserved - creating the raw material the Analytics Engineer models into governed data products.
This is more than an ingestion-only role, and it is built to grow. To start, the Data Engineer owns reliable ingestion and the Bronze layer, and works closely with the Analytics Engineer on the mechanics of getting data into conformed Silver models - including the reconciliation that proves the data ties out end to end. Over time, with Analytics Engineer partnership and Architect support, the Data Engineer develops deeper ownership of conforming work: turning messy, multi-system source data into models that mean the same thing across every source. This is an early hire on a small, capability-based data squad, with a clear growth path, working on the foundational data products of a new data platform.

Source-System Ingestion

Build and maintain CDC and batch pipelines from source systems into the Snowflake Bronze layer using Redpanda, Python, and Dagster.

Manage source-specific adapters across relational (SQL Server, Oracle), document (MongoDB), API, and file-based sources, and stand up new sources as the platform grows.

Handle the complexity of consolidating single-tenant source databases into a multi-tenant Snowflake model.

Implement idempotent load patterns with deduplication so pipelines can re-run safely without producing duplicate or missing records.

Bronze Layer Ownership

Design and maintain raw snapshot tables that preserve source-system state with minimal transformation - the immutable audit trail back to source.

Implement historical tracking so no data is silently overwritten.

Handle hard deletes from source systems by tracking deletions in Snowflake rather than losing them.

Maintain source-schema documentation and change detection - alert when upstream schemas drift unexpectedly.

Silver Build - Contribute and Grow (with the Analytics Engineer)

Build conformed Silver models from the business rules, grain, and conforming logic the Analytics Engineer defines - starting with close guidance and taking on more independence over time.

Own Bronze-to-Silver reconciliation: row counts and totals tie out, no records lost or double-counted across the transformation.

Help build and automate the mechanical contract gates - reconciliation tie-out, freshness, and schema validation - as CI/CD checks.

Apply classification tags at Bronze so columns can promote to Silver, partnering with the data owner and Data Governance on classification decisions.

Handle incremental logic and performance tuning as models grow in volume, with support as needed.

Pipeline Reliability and Observability

Run and monitor Dagster orchestration - scheduling, retries, failure alerting - and grow into fuller ownership of it, including SLA monitoring, over time.

Implement data-quality checks at the ingestion boundary (row counts, schema validation, freshness checks).

Monitor Snowflake concurrent-write limits and tune ingestion patterns to avoid bottlenecks.

Participate in severity-1 incident response - failed file loads, latency cascades, duplicate transactions, and similar.

Platform Collaboration

Work with Platform Engineering on Docker-based containerization and provisioning of Snowflake databases, schemas, and warehouses.

Apply required tags (domain, squad, product, layer, environment) to Snowflake objects, Dagster jobs, and streaming topics for cost attribution.

Participate in the HVR-to-Redpanda CDC migration and validate data integrity during cutover.

Contribute to shared CI/CD pipeline templates that standardize ingestion and build patterns.

Annual compensation for this role is $100,000 depending on experience.

This position offers a hybrid work option. Nelnet values flexibility and understands the importance of work-life integration. Our hybrid work environment allows associates living within 30 miles of an office location to work remotely for part of the week, while also fostering collaboration and team connection through in-office presence three days per week.

Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.

EDUCATION:

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field; or an equivalent combination of education and directly related experience.

EXPERIENCE:

Required:

Experience building and operating production data pipelines with strong Python and SQL skills.

Solid working knowledge of relational databases (SQL Server, Oracle, or PostgreSQL).

Experience implementing data-quality checks at the ingestion boundary - schema-drift detection, row-count validation, freshness monitoring - and reconciling that data ties out end to end.

General familiarity with data modeling concepts.

Will develop in role (mentorship and support provided):

Conforming data across systems - reconciling differing keys, codes, and grains from multiple sources into a single consistent model.

Deeper ownership of orchestration (Dagster) - scheduling, retries, failure alerting, SLA monitoring.

The modern streaming / CDC stack - Redpanda for change-data-capture.

Governance-integrated engineering - classification tagging and the promotion gates that depend on it, in partnership with Data Governance.

dbt-based layered modeling (Bronze / Silver / Gold) at production maturity.

Preferred:

Any prior exposure to CDC / streaming platforms (Redpanda, Kafka, or similar).

Experience with a document / NoSQL platform (MongoDB preferred).

Experience with Snowflake (multi-tenant patterns, Snowpipe, tasks, streams).

Containerization and provisioning experience with Docker.

Experience consolidating single-tenant sources into a multi-tenant warehouse.

Exposure to data-governance practices - classification, masking, retention - in a regulated data environment.

Experience with financial, payment, or transaction data, including reconciliation and settlement concepts.

COMPETENCIES - SKILLS/KNOWLEDGE/ABILITIES:

Strong analytical and problem-solving skills, with the discipline to prove data is correct rather than assume it.

Comfort working closely with an Analytics Engineer - taking direction on modeling logic while owning the build and reliability of it.

A genuine interest in growing into conforming and Silver-layer modeling work; coachable and motivated by a defined growth path.

Clear written and verbal communication, including documenting pipelines and surfacing issues early rather than absorbing them silently.

Attention to detail with data quality, historical preservation, and auditability.

Ability to manage competing priorities and participate in incident response with composure.

Collaborative working style across engineering, platform, governance, and product roles.

Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc

Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.


Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.


Nelnet is a Drug Free and Tobacco Free Workplace.


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