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Data Engineer Data Analyst Jobs in Grandview, MO

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and ...

Data Strategy-Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... to support analytics and reporting use cases • Engineer solutions using technologies such as ... data modeling, governance, lineage, monitoring, DevOps, and security Minimum Requirements • ...

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases * Engineer solutions using technologies such as PySpark ...

New

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases Engineer solutions using technologies such as PySpark ...

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

$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 ...

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/yr

Collaborate with BI and analytics teams Required Qualifications * 2-3 years of experience in Data Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

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 ...

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Showing results 1-20

Data Engineer Data Analyst information

See Grandview, MO salary details

$33.4K

$81.1K

$133.5K

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

As of Aug 24, 2026, the average yearly pay for data engineer data analyst in Grandview, MO is $81,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 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 Grandview, MO look for?

The top searched job categories for Data Engineer Data Analyst jobs in Grandview, MO are:

What cities near Grandview, MO are hiring for Data Engineer Data Analyst jobs?

Cities near Grandview, MO with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Grandview, MO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,139 per year, or $39 per hour.

Data Engineer/Data Analyst

Kansas City, MO • On-site

Advantage Tech
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Posted 21 days ago


Job description

Data Engineer/Analyst
Position Summary
The Data Engineer/Data Analyst is responsible for designing, building and maintaining our cloud-based data ecosystem while also delivering high-value analytics, reporting, and business insights. You'll work across the full data lifecycle - from engineering and modeling to visualization and strategic analysis - ensuring the organization has reliable, scalable, and actionable data.
KEY RESPONSIBILITIES
Data Engineering & Architecture (Primary Responsibility)
  • Design, provision, and configure cloud data warehouse and storage environments (e.g., Azure Synapse, Data Lake, Fabric).
  • Develop, test, and maintain scalable ETL/ELT pipelines using SQL, Azure Data Factory, Python, or similar tools.
  • Architect and implement dimensional models, data marts, and data cubes to support analytics and reporting needs.
  • Ensure data quality, reliability, and performance across all pipelines and data structures.
  • Create clear, comprehensive documentation for data systems, pipelines, and processes.

Analytics, Reporting & Business Insights (Secondary Focus)
  • Build and maintain impactful dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
  • Partner with business stakeholders to understand analytical needs and translate them into technical solutions.

Cross-Functional Collaboration & Strategy
  • Work closely with the team to ensure alignment on architecture, governance, and best practices.
  • Support the evolution of the organization's data strategy by identifying opportunities for automation, optimization, and improved insight delivery.
  • Contribute to the long-term vision of a scalable, modern data ecosystem that empowers business users.

QUALIFICATIONS
Knowledge, Skills and Abilities
Required:
  • Expert SQL Skills: Mastery of SQL for complex querying, performance tuning, and data manipulation.
  • Cloud Experience: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) in relation to data services.
  • Programming: Strong proficiency in Python for data manipulation and pipeline development.
  • Data Visualization: Experience building reports and dashboards with a major BI tool (e.g., Tableau, Looker, Power BI).
  • Strong organizational, planning, and problem-solving skills
  • Proven ability to manage deadlines and priorities in a fast-paced environment
  • Excellent written and verbal communication skills
  • Familiarity with ERP systems (Epicor P21 preferred), WMS, or operational reporting tools
  • Execution-focused with strong follow-through
  • Detail-oriented while able to see the bigger picture
  • Results-driven mindset aligned with business outcomes

Nice-to-Have Skill:
  • AI/ML Familiarity: Understanding of data preparation for Artificial Intelligence (AI) and Machine Learning (ML) models and experience with related data tools.

Education and Experience
  • Technical Proficiency: 3+ years of professional experience in data engineering, ETL development, and data modeling.
  • Experience with specific tools mentioned (Azure Data Factory, Power BI, etc.).
  • Experience in Business Analysis or formal requirements gathering.
  • Bachelor's degree in business, Information Systems, Computer Science or related field preferred
  • Experience managing cross-functional initiatives with multiple stakeholders a plus
  • Experience in industrial distribution, manufacturing, or supply chain environments preferred
  • Experience supporting process improvement or operational transformation initiatives

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer.