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Data Engineer Data Analyst Jobs in Wichita, KS (NOW HIRING)

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Additional Experience * 12+ years of experience in Data Engineering, Analytics Engineering, or Data ... Platform leadership, with a minimum of 7 years in senior management roles. * At least 6 years ...

Senior Data Architect

Harper, KS · On-site

$63.75 - $85.50/hr

Provides technical leadership, mentorship, and architectural guidance to data engineers, developers, analysts, AI engineers, and project teams. * Evaluates emerging technologies and industry trends ...

Sr. Manager Program, Enterprise Data

Newton, KS · On-site

$102K - $102K/yr

This leader partners closely with Data Engineering, Analytics, MDM Data Governance, and business stakeholders to prioritize work, hold teams accountable, and keep leadership informed at every stage.

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Showing results 21-40

Data Engineer Data Analyst information

See Wichita, KS salary details

$30.4K

$73.9K

$121.7K

How much do data engineer data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer data analyst in Wichita, KS is $73,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,800.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Wichita, KS look for?

The top searched job categories for Data Engineer Data Analyst jobs in Wichita, KS are:

What cities near Wichita, KS are hiring for Data Engineer Data Analyst jobs?

Cities near Wichita, KS with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Wichita, KS as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $73,930 per year, or $35.5 per hour.

Product Analyst / Data Analyst

Koch Industries

Wichita, KS

Full-time

Posted 21 days ago


Koch Industries rating

8.0

Company rating: 8.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

138th of 545 rated manufacturers


Job description

Location(s)
Wichita, Kansas
Company
Flint Hills Resources
Career Field
Information Systems & Technology
Job Number
193758

What Koch Industries employees say

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