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Analytics Engineer Two Jobs in Atchison, KS (NOW HIRING)

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site

$111K - $134K/yr

Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational data infrastructure that transforms raw business data into reliable ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational data infrastructure that transforms raw business data into reliable ...

CRB

Process Utilities Engineer II

Kansas City, MO · On-site

We are seeking a skilled and motivated Process Utilities Engineer II to join our dynamic team. This ... Simulation Output Analysis * Process Descriptions * Equipment and Hygienic Piping Specifications

CRB

Process Utilities Engineer II

Kansas City, MO · On-site

We are seeking a skilled and motivated Process Utilities Engineer II to join our dynamic team. This ... Simulation Output Analysis * Process Descriptions * Equipment and Hygienic Piping Specifications

Weber Food Technology

Design Engineer

Kansas City, MO · On-site

The Design Engineer II leverages their knowledge, skills, and experience to mentor and train other ... Conduct engineering analyses and perform relevant computations and application of engineering ...

Deloitte

Fabric Architect

Kansas City, MO · Hybrid

Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this ...

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Analytics Engineer Two information

What is the difference between Analytics Engineer Two vs Data Engineer?

AspectAnalytics Engineer TwoData Engineer
CredentialsBachelor's in CS, Data Science, or related; often certifications in SQL, cloud platformsBachelor's in CS, Software Engineering, or related; certifications in cloud, big data tools
Work EnvironmentCollaborates with data analysts, business teams; focuses on data modeling and visualizationWorks on data pipelines, infrastructure, and storage systems; more technical backend focus
Industry UsageUsed across industries for analytics and reportingUsed in data infrastructure, ETL processes, and large-scale data processing

While both roles involve working with data, Analytics Engineer Two primarily focuses on transforming data for analysis and visualization, whereas Data Engineers build and maintain the data infrastructure. The roles often overlap but differ in their core responsibilities and technical focus.

What cities near Atchison, KS are hiring for Analytics Engineer Two jobs?

Cities near Atchison, KS with the most Analytics Engineer Two job openings:

Analytics Engineer Two jobs near you

Analytics Engineer I

Imperial PFS

Kansas City, MO • On-site

$111K - $134K/yr

Full-time

Posted 8 days ago

Job description

Analytics Engineer I
Location: Kansas City, MO (4 days in-office, 1 day remote)
Experience Level: Mid-level (2-4 years)
Department: Data Analytics Team
About the Role
An Analytics Engineer builds and maintains the foundational data infrastructure that transforms raw business data into reliable, analysis-ready insights for decision-making. This position is critical to establishing scalable data models, pipelines, and governance practices that will support our growing analytical needs.
The prime reason for this role's existence is to bridge the gap between raw data ingestion and analytics needs, ensuring that our analysts and stakeholders have access to high-quality, well-documented, and performant data models. This position directly contributes to the company's overall mission by enabling data-driven decision making across all departments, improving operational efficiency, and supporting strategic initiatives through reliable analytics infrastructure.
Key contributions to the company include:
  • Building standardized data models that reduce time-to-insight for business users
  • Implementing data quality and governance frameworks that ensure information is accurate and compliant.
  • Creating reliable, well-documented data pipelines that enable consistent reporting and analytics across all business functions

What You'll Do
Data Modeling and Pipeline Development
  • Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured formats within Snowflake using dbt
  • Create conform and analytics layers that standardize data for business consumption
  • Develop dimensional models and data marts tailored to business requirements

Data Quality and Governance
  • Implement best practices for data quality, integrity, and performance monitoring
  • Contribute to data governance frameworks, including maintaining data lineage and definitions
  • Establish data quality checks and validation processes within dbt workflows

Performance Optimization
  • Optimize data storage and retrieval processes within Snowflake to ensure scalable, reliable, and cost-effective data solutions
  • Fine-tune SQL queries and data transformations for optimal performance
  • Monitor and improve pipeline efficiency and resource utilization

Technical Documentation
  • Create and maintain clear, comprehensive documentation for data models, processes, and key metrics
  • Document data lineage and maintain metadata for analytical datasets
  • Establish documentation standards and best practices for the team

Software Engineering Practices
  • Leverage version control and CI/CD pipelines for streamlined, reliable development processes
  • Ensure code quality through testing, peer reviews, and automated deployment

Collaboration and Stakeholder Management
  • Work closely with analysts and business subject matter experts to understand requirements
  • Translate business needs into effective technical data solutions
  • Participate in regular stakeholder meetings to refine and expand data capabilities

What You Bring
Required Qualifications
  • 2-4 years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency in ANSI-SQL for querying, data transformation, and building data infrastructure
  • Snowflake expertise with hands-on experience in its architecture and best practices for data management and processing
  • Strong data modeling skills with deep understanding of data modeling principles and experience designing efficient structures for analytics
  • dbt proficiency for managing data transformations and building data models within Snowflake
  • Passion for detail and quality - skilled at spotting data and process gaps and committed to driving continuous improvement
  • Strong communication skills and comfort collaborating with non-technical stakeholders
  • Intellectual curiosity and drive to understand business problems through data

Preferred Qualifications
  • SnowProcertification or equivalent advanced Snowflake expertise
  • Experience with modern cloud data architecture (data lakes, data lakehouses, cloud data platforms)
  • Experience with ELT/ETL tools (Fivetran experience a plus)
  • Knowledge of data visualization tools (Tableau, Looker, Power BI)
  • Previous experience in insurance, finance, or regulated industries
  • Python programming experience for data parsing, transformation, and scripting within data pipelines

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