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# Data Engineer

- **Company:** Fike Corporation
- **Location:** Blue Springs, MO, United States
- **Experience:** Expert
- **Salary:** $90,686.0 - $113,358.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Data Analysis, Microsoft Basic Data Partition, Business Process Model and Notation, Software as a Service, Cloud Database, Information Systems, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Stores, Data Visualization, Data Warehousing, Relational Databases, Database Queries, Metadata Repositories, Salesforce.Com, Software Engineering, System Integration Testing, Tableau (Software), Enterprise Data Management, Data Logging, Snowflake, Information Technology, Data Management, Tools for Reporting, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88583233/1

## About the Role

Foundational Data Engineering & Snowflake: Basic familiarity with relational database design, SQL querying, and fundamental concepts of Snowflake architecture.

SaaS Integration Awareness: Understanding of enterprise SaaS platforms (e.g., Salesforce, CRMA, cloud ERP systems) and basic data extraction techniques via APIs or standard connectors.

Business Process Awareness: Foundational understanding of business workflows, process mapping concepts, and structured problem-solving methodologies (e.g., Lean, BPMN).

Data Quality & Governance Support: Knowledge of data management fundamentals, including data validation, metadata logging, and user access control.

Analytical Thinking: Detail-oriented focus with the ability to troubleshoot reporting discrepancies and interpret quantitative data clearly.

Technical Writing & Communication: Good written and verbal communication skills with an aptitude for producing clear documentation.

Adaptability & Confidentiality: Strong organizational skills, discretion when handling sensitive data, and eagerness to learn new technologies., Required: Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related technical field.

Five years or more of hands-on experience in business intelligence support, junior data engineering, data analysis, or a related technical role. Core Technical Skills: Hands-on experience writing standard SQL queries and working with cloud data warehouses such as Snowflake. SaaS & Reporting Tools: Basic experience working with cloud application data (e.g., Salesforce, CRMA) and modern BI visualization tools (e.g., Tableau). Methodologies: Basic understanding of project task tracking, process flow mapping, and analytical documentation.

Preferred:Data management certification, Lean Six Sigma Yellow or Green Belt, foundational BI analytics certifications, exposure to data governance concepts or ISO-compliant documentation environments.

## Description

The Data Engineer supports the bridge between business stakeholders and technical execution by assisting with analysis, data pipeline maintenance, and routine enterprise data management tasks. Working under the direction of Business Intelligence leadership, this role contributes to maintaining Snowflake data environments, BI tool reports and platform, building basic ETL/ELT data pipelines, supporting SaaS integrations, and upholding data quality standards. Also, the Data Engineer helps translate foundational business requirements into functional reporting outputs and assists in driving data operational efficiency across the organization., 1. Assists business units with gathering and documenting basic functional requirements for business intelligence and reporting tasks.

 2. Helps convert defined business requirements into basic technical tasks, standard reporting metrics, and user stories.
 3. Supports in building, testing, and maintaining routine ETL/ELT pipelines to move data from SaaS platforms and internal systems into central data stores.
 4. Performs routine administration and maintenance support within the Snowflake data warehouse, including monitoring query performance, basic user role management, and table organization.
 5. Executes data quality checks, updates data catalogs, and assists in enforcing enterprise data stewardship and lineage practices.
 6. Assists in creating standard operating procedures (SOPs) and documentation for BI reporting assets, data workflows, and user guidelines.
 7. Collaborates with IT infrastructure and application development team members during system integration testing and updates.
 8. Monitors regular SaaS integration data syncs (e.g., Salesforce, CRMA, ERP systems) and assists in troubleshooting basic data flow exceptions.
 9. Supports business process mapping activities to capture workflow details for data optimization initiatives.
 10. Participates as a technical support team member on cross-functional BI, reporting, and data management projects.
 11. Prepares background materials and updates for regular data governance alignment meetings.
 12. Delivers basic reporting guidance and functional support to end-users on standardized BI tools and dashboards.
 13. Maintains confidentiality of all information processed.

Performs related duties as assigned. Regular and consistent attendance is required.