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

Data Product Analyst

Wichita, KS · On-site

$70 - $100/hr

Koch Engineered Solutions is seeking a Data Product Analyst for the ET&S data delivery team. The role sits at the intersection of governance, data quality, and product delivery. It translates ...

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Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Job Summary : LanceSoft, Inc. is seeking a Data Analyst III to extract and analyze data from SAP S/4HANA. The role involves creating Excel macros, managing datasets, and collaborating with ...

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 ...

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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 1, 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.

Engineering Data Analyst

Pyramid Consulting, Inc.

Wichita, KS • On-site

$50 - $55/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

Immediate need for a talented Engineering Data Analyst. This is a 06 -12 month contract opportunity with long-term potential and is located in Wichita, KS (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 26-26201
Pay Range: $50-55/hr. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities

  • Collect, clean, and process large volumes of multi-format engineering data (telemetry, test logs, simulation results, and maintenance data).
  • Build interactive dashboards and automated reports (Power BI, Tableau) to track engineering KPIs, test progress, and operational reliability.
  • Develop automated scripts (Python, R, SQL) for data ingestion pipelines, anomaly detection, and predictive modeling.
  • Partner with Stress, Systems, and Flight Test engineering teams to translate complex engineering problems into scalable analytical solutions.
  • Present statistical findings and trend analyses to program managers and chief engineers.

Key Requirements and Technology Experience:

  • Education: Bachelor of Science (BS) in Engineering, Data Science, Statistics, Computer Science, or related technical field.
  • Experience: 3+ years of data analytics experience, preferably within aerospace, industrial manufacturing, or defense environments.
  • Advanced proficiency in SQL and relational/non-relational databases.
  • Strong programming skills in Python (Pandas, NumPy, SciPy) or R for statistical data processing.
  • Hands-on expertise with visualization tools like Power BI or Tableau.
  • Experience working with engineering data structures (time-series data, MATLAB outputs, or IoT telemetry).

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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