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Data Optimization Jobs in Kansas (NOW HIRING)

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Work with Snowflake for managing data warehouses, optimizing performance, and ensuring efficient querying and data loading processes. * Adhere to WellSky core values, ensure PHI data security, and ...

Sr. Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

Work with Snowflake for managing data warehouses, optimizing performance, and ensuring efficient querying and data loading processes. * Adhere to WellSky core values, ensure PHI data security, and ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Data Engineer II-IT

Wichita, KS · On-site

$113K - $135K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics. * Hands-on experience with big data tools (Spark, Kafka). * Modern data ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics. * Experience with big data technologies such as Spark and Kafka.

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Apply modeling and optimization methods to develop new strategies and improve business performance Develop ad-hoc reporting based on the review of existing data sources Exhibit rigor, judgment, and ...

Showing results 21-40

Data Optimization information

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Kansas?

The most popular types of Data Optimization jobs in Kansas are:

What are popular job titles related to Data Optimization jobs in Kansas?

For Data Optimization jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Data Optimization job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 5 days ago


CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
CommunityAmerica Credit Union is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers their data and analytics capabilities. This role involves managing a small team responsible for the Data and BI Platforms, ensuring reliable operations of the SQL Server environment, and driving the establishment of a new cloud data platform on Databricks and Azure.
Responsibilities:
• Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
• Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
• Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
• Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
• Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
• Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
• Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
• Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
• Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
• Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
• Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master’s degree preferred.
• 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
• 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
• Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
• Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
• Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
• Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
• Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
• Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
• Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
• Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
• Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
• Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.
Preferred:
• Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
• Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
• Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
• Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
Company:
CommunityAmerica Credit Union provides financial services and products like mobile banking, insurance and loans to individuals & businesses. Founded in 1940, the company is headquartered in Lenexa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What CommunityAmerica Credit Union employees say

Hours and flexibility

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