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Azure Big Data Engineer Jobs in Nebraska (NOW HIRING)

Preferred Qualifications: * 3+ years of Experience using SQL or similar big data querying languages * 3+ years of Experience with programming language, such as Python or R * 3+ years of experience ...

Tolerate hot and cold work environments We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the ...

Tolerate hot and cold work environments We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the ...

Tolerate hot and cold work environments We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the ...

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.

... big data querying languages * 5+ years of experience with programming language, such as Python or R * 5+ years of experience with applied statistical techniques, such as inferential methods, causal ...

... big data querying languages * 5+ years of experience with programming language, such as Python or R * 5+ years of experience with applied statistical techniques, such as inferential methods, causal ...

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 ... Azure * Tools: Power Automate, AI Foundry, Power Platform * Data Platforms: Snowflake (preferred ...

Sr. Software Engineer

Papillion, NE · On-site

$115K - $152K/yr

... data platforms, ensuring seamless interoperability. * Proficiency in version control systems such as Git, and fluency in CI/CD tools like Azure DevOps or GitHub Actions. * Deep understanding of ...

Sr. Software Engineer

Papillion, NE · On-site +1

$115K - $152K/yr

... data platforms, ensuring seamless interoperability. * Proficiency in version control systems such as Git, and fluency in CI/CD tools like Azure DevOps or GitHub Actions. * Deep understanding of ...

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

Azure Container Apps, Azure Functions, Docker * Data: SQL, PostgreSQL, Azure SQL * Tooling: LangFuse, Cursor IDE, Git Qualifications * Bachelor's degree in Computer Science, Engineering, or ...

Programming Skills: Proficiency in at least one programming or scripting language (such as Python ... For instance, familiarity with Microsoft's Responsible AI guidelines, Azure Purview for data ...

Programming Skills: Proficiency in at least one programming or scripting language (such as Python ... For instance, familiarity with Microsoft's Responsible AI guidelines, Azure Purview for data ...

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

Azure Container Apps, Azure Functions, Docker * Data: SQL, PostgreSQL, Azure SQL * Tooling: LangFuse, Cursor IDE, Git Qualifications * Bachelor's degree in Computer Science, Engineering, or ...

Sr Cloud Engineer

Papillion, NE · On-site +1

$52.50 - $70.25/hr

The ideal candidate combines deep Azure platform expertise with strong DevOps practices and ... We give our people real-time data to make faster, smarter decisions. Location This role is located ...

Showing results 21-40

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

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

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
What are popular job titles related to Azure Big Data Engineer jobs in Nebraska? For Azure Big Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Azure Big Data Engineer jobs in Nebraska look for? The top searched job categories for Azure Big Data Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Azure Big Data Engineer jobs? Cities in Nebraska with the most Azure Big Data Engineer job openings:
Infographic showing various Azure Big Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist, Level 4

Snapchat

Bellevue, NE

Full-time

Medical

Re-posted 16 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We're looking for a Data Scientist to join Snap Inc.

What you'll do:

  • Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

  • Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'

  • Collaborate with product managers, engineers, product marketers, and designers

  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Knowledge, Skills and Abilities:

  • Expertise using data modeling skills to identify key product trends and new product opportunities

  • Ability to design implement, and track core metrics to analyze the performance of our products

  • Ability to create visuals, dashboards, and reports to effectively communicate your insights

  • Ability to collaborate with engineers, product managers, and other cross-functional teams

  • Ability to initiate and drive projects to completion with minimal guidance

  • An understanding of Snapchat with great product sense and product understanding

  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices

Minimum Qualifications:

  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience

  • 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Preferred Qualifications:

  • 3+ years of Experience using SQL or similar big data querying languages

  • 3+ years of Experience with programming language, such as Python or R

  • 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques

  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company

  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $157,000-$235,000 annually.


Zone B:

The base salary range for this position is $149,000-$223,000 annually.

Zone C:

The base salary range for this position is $133,000-$200,000 annually.This position is eligible for equity in the form of RSUs.