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Etl Developer Jobs in Nebraska (NOW HIRING)

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Experience leveraging tools for ETL and data wrangling. * Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R). * Experience using modern visualization tool (e ...

Integrated Resources INC

Java/J2EE Developer

Omaha, NE · On-site

$48.75 - $63.25/hr

Integration and ETL experiences with a Retail ERP system. Any Middleware certification preferred. Experience with Oracle RMS (Retek) v10 or newer preferred. Retail background preferred. 4+ years ...

Axos Bank

Sr. Database Administrator

Omaha, NE · On-site +1

$120K - $145K/yr

Support ETL/ELT workflows and data transformations * Optimize data processing for performance and ... Familiarity with CI/CD or DevOps tools Axos Employee Benefits May Include: * Medical, Dental ...

The Garrett Group

Data Manager (NEC)

NE · On-site

The Garrett Group (TGG) invites you to join our team as a Data Manager/Engineer, where you'll play ... Experience with Informatica or other data Extract, Transform, Load (ETL) tools and processes is ...

Cordova

AI Architect

Omaha, NE · On-site

... engineering principles and tools, including data ingestion, ETL, and data storage. - Familiarity with big data technologies, such as Hadoop, Spark, or Hive. - Excellent problem-solving skills and ...

Monitise

InterSystems IRIS Developer

Omaha, NE

$90K - $158K/yr

Job Title InterSystems IRIS Developer What does a successful InterSystems IRIS Developer do at ... ETL pipelines, batch or file interfaces, CI/CD pipelines, automated testing, and Git-based ...

Great West Casualty Company

Data Engineer

South Sioux City, NE · On-site

$113K - $135K/yr

Data Engineer This position is located at our corporate office in South Sioux City, NE, and offers ... Design, build, and maintain ETL/ELT pipelines to support analytics and reporting needs. * Assist in ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Strong understanding of ETL/ELT processes, data integration, and data modeling concepts. * Advanced ...

Agile Defense

ML Engineer

Omaha, NE · On-site

... ETL/ELT workflows using Apache Spark and modern data engineering practices for both batch and streaming data • Build and maintain data quality monitoring and validation systems across the entire ...

Agile Defense

ML Engineer

Omaha, NE · On-site

... ETL/ELT workflows using Apache Spark and modern data engineering practices for both batch and streaming data • Build and maintain data quality monitoring and validation systems across the entire ...

Agile Defense

ML Engineer

Omaha, NE · On-site

... ETL/ELT workflows using Apache Spark and modern data engineering practices for both batch and streaming data • Build and maintain data quality monitoring and validation systems across the entire ...

Agile Defense

ML Engineer

Omaha, NE

... ETL/ELT workflows using Apache Spark and modern data engineering practices for both batch and streaming data Build and maintain data quality monitoring and validation systems across the entire data ...

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Etl Developer information

See Nebraska salary details

$30

$54

$77

How much do etl developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for etl developer in Nebraska is $54.71, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $61.20 per hour, depending on experience, location, and employer.

Will AI replace ETL developer?

AI is unlikely to fully replace ETL developers, as their role involves designing, maintaining, and troubleshooting complex data pipelines that require domain knowledge and problem-solving skills. Instead, AI tools can assist ETL developers by automating routine tasks and optimizing processes, allowing them to focus on more strategic aspects of data integration. Continuous learning and familiarity with data tools remain important for ETL professionals to stay relevant in evolving technology environments.

What are some common challenges ETL Developers face when integrating data from multiple sources, and how can they be addressed?

ETL Developers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and dealing with varying data refresh frequencies when integrating information from diverse sources. To address these, developers typically implement robust data validation and cleansing routines, establish standardized data models, and coordinate closely with data owners to align on data delivery schedules. Collaborating with business analysts and database administrators also helps ensure that integration processes meet both technical and business requirements, leading to smoother data flows and more reliable analytics.

What Is an ETL Developer?

An ETL (extract, transform, load) developer is an information technology specialist whose area of expertise is data warehouse solutions. As an ETL developer, your responsibilities include overseeing the big picture data warehousing needs of your company. You work with a team of IT professionals to assess current data storage systems, evaluate needs, and determine the best way to meet those requirements. Once you have developed the new data warehouse system, you oversee the extraction of data from other sources, the uploading of that data into the new system, and testing and troubleshooting to ensure everything works properly.

What are the key skills and qualifications needed to thrive as an ETL Developer, and why are they important?

To thrive as an ETL Developer, you need expertise in data warehousing concepts, strong SQL skills, and experience with ETL tools, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Talend, SSIS, and proficiency in scripting languages as well as database management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure accurate data integration, reliable data pipelines, and successful collaboration with stakeholders in data-driven projects.

What tech jobs pay $400,000 a year?

For an ETL Developer, reaching a $400,000 annual salary typically requires extensive experience, advanced skills in data integration tools, and often senior or lead roles in large organizations. High-paying tech roles such as data architects, machine learning engineers, and senior software executives can also reach or exceed this level, especially with bonuses and stock options. Achieving this salary usually involves working in high-demand industries or companies with competitive compensation packages.

What do ETL developers do?

ETL developers design, build, and maintain data pipelines that extract data from various sources, transform it into a usable format, and load it into data warehouses or databases. They often use tools like SQL, Python, or specialized ETL software and work closely with data analysts and engineers to ensure data quality and efficiency.

Are ETL developers in demand?

ETL developers are in high demand due to the increasing need for data integration and management in organizations. They often require skills in SQL, data warehousing, and tools like Informatica or Talend, and employment opportunities are expected to grow as data-driven decision making becomes more critical.

What is the difference between Etl Developer vs Data Engineer?

AspectEtl DeveloperData Engineer
Primary FocusDesigning and developing ETL processes for data integrationBuilding and maintaining scalable data pipelines and infrastructure
Skills & CertificationsSQL, ETL tools, data warehousing, sometimes certifications like Microsoft or InformaticaProgramming (Python, Java), cloud platforms, big data technologies, often similar certifications
Work EnvironmentData warehouses, BI teams, analytics departmentsData platforms, cloud environments, big data ecosystems
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles involve data processing, Etl Developers primarily focus on creating and maintaining ETL processes for data integration, whereas Data Engineers build comprehensive data pipelines and infrastructure to support large-scale data analytics and storage. The roles often overlap, but Data Engineers typically work on broader data architecture and scalability.

What are ETL Developers?

ETL Developers are IT professionals who specialize in designing, building, and maintaining systems for extracting, transforming, and loading data from various sources into data warehouses or other storage systems. They work with large datasets, ensuring that data is accurately and efficiently moved, cleaned, and integrated for business intelligence and analytics. ETL Developers use specialized tools and programming languages to automate these processes, making data accessible and useful for organizations. Their role is crucial in supporting data-driven decision making.
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Etl Developer jobs near you
Data Scientist Sr

Data Scientist Sr

Flagstar Bank

Atlanta, NE • On-site

Full-time

Medical, Dental, Vision, Life

This job post has expired today. Applications are no longer accepted.

Job description

Position Title
Data Scientist Sr
Location
Atlanta, GA 30305
Job Summary
The Data Scientist Sr responsibilities include independently perform data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. Present complex concepts in a format digestible by a diverse audience across the organization. Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses. Quickly learn complex community banking dynamics, work closely with stakeholder to understand business objectives and design data-driven solutions that create competitive differentiation. Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.
Job Responsibilities:
JOB RESPONSIBILITIES
  • Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.
  • Present complex concepts in a format digestible by a diverse audience across the organization.
  • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses.
  • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices.
  • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified.
  • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics.
  • Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.
  • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision.
  • Uses independent judgement and discretion to make decisions.
  • Analyzes and resolves problems.

ADDITIONAL ACCOUNTABILITIES
  • Performs special projects, and additional duties and responsibilities as required.
  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS
Required Qualifications:
  • Education level required: Undergraduate Degree (4 years or equivalent).
  • Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience.
  • Experience leveraging tools for ETL and data wrangling.
  • Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R).
  • Experience using modern visualization tool (e.g. PowerBI, Tableau).
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.

Preferred Qualifications:
  • Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
  • Working knowledge of cloud computing tools on any of the major cloud platforms preferred.
  • Completion or progress towards certifications such as FRM or CFA preferred.
  • Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark.
  • Knowledge of data governance, security, and compliance requirements in the banking industry.

Job Competencies:
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
  • Knowledge of retail and/or commercial banking.
  • Good Interpersonal, communication and presentation skills.
  • Results oriented with a strong work ethic and sense of urgency.
  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights.
  • Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
  • Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
  • Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer
We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank
Pay Range
$85,218.75 - $140,390.00
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.

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