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Data Engineer Data Analyst Jobs in Kansas (NOW HIRING)

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions ... with organizational goals. * Evaluate emerging technologies and recommend improvements to data ...

Data Engineer

Overland Park, KS

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related technical needs and improvements. * Innovation and Research: Stay updated on industry trends and ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related technical needs and improvements. * Innovation and Research: Stay updated on industry trends and ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in ...

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Perform exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and quality * Learn and apply data engineering ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related technical needs and improvements. * Innovation and Research: Stay updated on industry trends and ...

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information ...

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

Responsible for analyzing and preparing the data needed for data science based outcomes. Also ... Hands-on experience in programming languages like Java, Python or Scala Hands-on experience in ...

Data Engineer II-IT

Wichita, KS

$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

$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

Leawood, KS · On-site

$111K - $133K/yr

Collaborate with engineers, analysts, and business stakeholders to align data solutions with organizational needs. * Support cloud-based data strategies including data warehousing, pipelines, and ...

Data Engineer II-IT

Wichita, KS

$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 ...

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric 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 ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience building solutions for analytical reporting and business intelligence * Experience with ...

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Data Engineer Data Analyst information

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.

What are popular job titles related to Data Engineer Data Analyst jobs in Kansas? For Data Engineer Data Analyst jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Engineer Data Analyst jobs? Cities in Kansas with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description


Data Engineer
Location: 5000 Kansas Avenue Kansas City, KS 66106
Department: IT
Make us your BEST Choice!
Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and data automation capabilities. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data.
As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain.
Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors.
Position Responsibilities:
Support Availability and Services (50-60%)
  • Troubleshoot and develop solutions to problems, including using AWG approved AI tools such as Gemini, CoPilot and NotebookLM.
  • Collaborate with other developers and support engineers to resolve production, enhancement or development issues.
  • Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support.
  • Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems.
  • Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation.
  • Understand and implement change control procedures (including RFC, CAB, CI/CD).

Deliver Solutions (25%)
  • Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake.
  • Build and maintain scalable ETL processes using workflow automation tools.
  • Provide documentation (including Technical Design Documents) for installations and deliverables.
  • Design dimensional models and be able to cleanse and transform raw data into structured formats.
  • Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse.
  • Scale and tune data pipelines, data sets, and SQL queries.
  • Responsible for Unit testing, support of Integration testing, and User Acceptance Testing.
  • Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope.

Learning and Continuous Improvement (10-20%)
  • Responsible for understanding and adoption of IT Architecture practice.
  • Continuous learning of existing and future data technologies and tools.
  • Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions.
  • Participate in agile story authoring, sizing, and demo sessions for developed features.
  • Participate in code reviews and receive feedback from the team.
  • Propose process improvements for continuous department maturity.

Align Roadmap and Strategy (5%)
  • Collaborate with business partners to understand their business problems or needs and desired outcomes.
  • In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the AWG community.
  • Communicate priorities to the technology organization to drive effective business solutions.
  • Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.

Position Requirements:
  • Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices.
  • Education: Bachelor's degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience.
  • SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2).
  • Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools.
  • Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.).
  • Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse.
  • Analytical Skills: Knowledge and skills with Power BI will be important, not critical.
  • Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities.

Nice To Have:
  • Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises).
  • Experience working with CRM systems like Salesforce.
  • Experience with end-to-end supply chain or merchandising.
  • Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar.
  • Basic knowledge and understanding of statistics and awareness of data science methodologies.

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.
Benefits:
  • Medical, Dental, & Vision Insurance
  • Health Savings Account
  • Dependent Care Flexible Spending Account
  • Paid Vacation, Holiday, and Sick Time
  • 401(k) with 4% match along with 3 other contributions
  • Tuition Reimbursement
  • Basic & Supplemental Life and AD&D
  • Employee Assistance Program
  • Short-Term and Long-Term Disability
  • Wellness Program
  • Yearly Holiday Bonus

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