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Associate Data Engineer Jobs in Nebraska (NOW HIRING)

Data Engineer

Lincoln, NE · Hybrid

$100K/yr

The Data Engineer builds and maintains the ingestion pipelines, change-data-capture (CDC) streams ... Our hybrid work environment allows associates living within 30 miles of an office location to work ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Associate Data Scientist: $99,000 - $115,000, plus annual bonus opportunity. * Retirement: 401(k) ... PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... associates. We provide an environment that encourages professional growth, creativity, and ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... Work extensively with the existing Oracle database and accompanying data model to manage the ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... Work extensively with the existing Oracle database and accompanying data model to manage the ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... Work extensively with the existing Oracle database and accompanying data model to manage the ...

The Associate Engineer is responsible for the structural analysis and design of standard products ... Communicate engineering data to customers both internal and external * Build and foster internal ...

The Associate Engineer is responsible for the structural analysis and design of standard products ... Communicate engineering data to customers both internal and external * Build and foster internal ...

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using ... Associates degree in computer science or a related field of study * A minimum of 3 years of ...

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models ... Associates degree in computer science or a related field of study * A minimum of 3 years of ...

The Associate Machine Design Engineer supports the design and development of proprietary ... Support data collection related to cost, material usage, and labor to aid continuous improvement ...

The Associate Machine Design Engineer supports the design and development of proprietary ... Support data collection related to cost, material usage, and labor to aid continuous improvement ...

ASSOCIATE SERVICE ENGINEERS AT TSP TYPICALLY HAVE THE FOLLOWING JOB RESPONSIBILITIES: * Schedule ... Any IT experience or exposure to data center environments is welcome, but not required ADDITIONAL ...

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Associate Data Engineer information

See Nebraska salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for associate data engineer in Nebraska is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
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 Associate Data Engineer jobs in Nebraska? For Associate Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Nebraska look for? The top searched job categories for Associate Data Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Associate Data Engineer jobs? Cities in Nebraska with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,160 per year, or $17.9 per hour.

$100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 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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We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring