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Etl Developer Jobs in Kansas (NOW HIRING)

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Solutions Architect

Topeka, KS · On-site

$93K - $110K/yr

Identify system integration points and develop schemas, APIs, and ETL processes to facilitate ... oriented programming. oProficiency in software modeling frameworks (e.g., C4, 4+1, or TOGAF) and ...

Epiq

Principal Consultant

Overland Park, KS · On-site +1

... Engineering Consultant is responsible for providing technical guidance and implementation to clients on various Intapp products. In addition to technical experience in SQL databases, ETL tools, data ...

Epiq

Principal Consultant

Overland Park, KS · On-site

... Engineering Consultant is responsible for providing technical guidance and implementation to clients on various Intapp products. In addition to technical experience in SQL databases, ETL tools, data ...

Epiq Company

Principal Consultant

Overland Park, KS · On-site

$100 - $125/hr

The Solution Engineering Consultant is responsible for providing technical guidance and implementation to clients on various Intapp products. In addition to technical experience in SQL databases, ETL ...

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Axos Bank

Sr. Database Administrator

Overland Park, KS · 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 ...

Garmin Ltd.

Data Engineer 2

Olathe, KS · On-site

$100 - $125/hr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Experience tuning and optimizing ETL jobs to perform at scale * Experience writing complex queries ...

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$28

$51

$72

How much do etl developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for etl developer in Kansas is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $57.26 per hour, depending on experience, location, and employer.

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?

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

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.

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.

Is ETL developer in demand now?

ETL developers are currently in demand due to the increasing need for data integration and management in organizations. Skills in SQL, data warehousing, and tools like Informatica or Talend enhance job prospects, with many companies seeking professionals to support data-driven decision-making.

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.
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Etl Developer jobs near you
Infographic showing various Etl Developer job openings in Kansas as of August 2026, with employment types broken down into 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $106,438 per year, or $51.2 per hour.

Analytics Engineer II

Mariner Wealth Advisors

Overland Park, KS • On-site

$100 - $125/hr

Other

Posted 6 days ago

Job description

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.

Responsibilities

  • Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.

  • Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.

  • Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.

  • Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.

  • Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.

  • Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.

  • Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.

  • Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.

Requirements

  • 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.

  • 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.

  • Experience developing and maintaining data models, pipelines, and reporting datasets.

  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred qualifications include a bachelor’s degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.

Skills

  • Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.

  • Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.

  • Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.

  • Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.

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