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Azure Big Data Engineer Jobs in Nebraska (NOW HIRING)

Lead Data Engineer

Omaha, NE · On-site

$98K - $129K/yr

Lead Data Engineer Location: Omaha, Nebraska; Onsite Job Type: Full-Time Reports To: Sr. Manager of ... Azure, or GCP) * Expertise in data warehousing, dimensional and relational modeling * Strong ...

ETL Data Engineer (W2 Full Time)

Omaha, NE · On-site

$109K - $131K/yr

Role: Data Engineer; Operational Data Group Location: Onsite in Omaha, Nebraska Department ... Azure, or Google Cloud preferred) Strong background in data modeling, data warehousing, and ...

Cloud Data Engineer Mid-level

Omaha, NE · On-site

$109K - $131K/yr

Cloud Data Engineer Mid-level Location: Omaha, NE Job type: Contract MUST HAVE: SNOWFLAKE - STRONG ... AZURE/AWS/Google Cloud Platform), OBJECT STORAGE, AND IAM PATTERNS EXPOSURE TO EVENT STREAMING ...

Talend Developer Location: Omaha, NE, onsite Duration: 6+ month Note: Candidates should have strong ... Big Data Frameworks modules * 3+ years of Talend performance tuning experience. * 3+ years of Azure ...

... Azure, or Google Cloud. - Strong knowledge of data engineering principles and tools, including data ingestion, ETL, and data storage. - Familiarity with big data technologies, such as Hadoop, Spark ...

Remote-Senior Data Engineer

Lincoln, NE · On-site

$48.50 - $64.25/hr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing ...

Sr Systems Engineer - Azure

Omaha, NE · Hybrid

$120K - $150K/yr

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has ... Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ...

Works closely with application, data platform, product, and data engineering teams to ensure data ... Familiarity with PostgreSQL, MySQL, Synapse Analytics, Azure Cache for Redis, Azure Table Storage ...

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. * Knowledge of MDM ...

Works closely with application, data platform, product, and data engineering teams to ensure data ... Familiarity with PostgreSQL, MySQL, Synapse Analytics, Azure Cache for Redis, Azure Table Storage ...

Java Full stack Developer

Omaha, NE · On-site

$92K - $110K/yr

Big Data & Messaging: Apache Spark, Kafka (or other messaging services) * Cloud & Infrastructure: AWS SDK (Basic), Azure SDK (Basic) Good-to-Have Skills * DevOps & Tools: Docker, Linux (Basic), ETL ...

They will leverage modern development practices, including AI-assisted engineering tools, to ... Technologies & Platforms • Power BI • Azure Databricks • Azure Data Lake • Azure Data ...

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 ...

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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.

Lead Data Engineer

Snowrelic Inc

Omaha, NE • On-site

$98K - $129K/yr

Full-time

Re-posted 27 days ago


Job description

Lead Data Engineer

Location: Omaha, Nebraska; 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 robust data pipelines that support business intelligence, analytics, and operational systems. In this high-impact role, you'll take ownership of ETL/ELT workflows and cloud data solutions, ensuring accuracy, scalability, and efficiency across our data environment. You’ll collaborate across departments to translate data needs into reliable technical solutions, serve as a mentor to junior engineers, and help shape the future of their data architecture.

This role combines hands-on engineering with strategic leadership, giving you the opportunity to influence everything from pipeline performance to architectural decisions to team growth. You will operate as a technical expert, a cross-functional partner, and a production support lead, directly contributing to business-critical decisions.

Top Skills:

  • 10 years of experience in ETL/ELT development (Informatica, DataStage, DBT)
  • Advanced SQL programming (8–10 years)
  • Strong Python or shell scripting skills (8–10 years)
  • 5+ years of experience with cloud data platforms (AWS, Azure, or GCP)
  • Expertise in data warehousing, dimensional and relational modeling
  • Strong database performance tuning and optimization
  • Proven leadership in mentoring, task delegation, and cross-team collaboration
  • Agile methodology experience preferred

What You’ll Do:

  • Design, develop, and maintain ETL/ELT workflows to support structured and semi-structured data ingestion into data warehouses and operational data stores.
  • Work closely with developers, analysts, and business partners to understand data requirements, define transformation logic, and deliver production-ready solutions.
  • Guide junior engineers by providing technical direction, performing code reviews, and modeling best practices for performance and maintainability.
  • Perform source-to-target mapping, data profiling, and transformation validation to uphold data quality across systems.
  • Lead production support efforts, troubleshoot critical issues, and oversee deployment through change management processes.

Qualifications:

  • Bachelor’s degree in Computer Science, MIS, or related field with 10+ years of experience; or Master’s with 8+ years; or equivalent practical experience
  • Deep experience with data warehousing, ETL/ELT tools, and cloud-based data platforms
  • Strong scripting and programming ability in Python or shell
  • Proven ability to lead and collaborate in Agile teams
  • Strong communication skills and a customer-focused mindset