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Data Engineer
Overland Park, KSApril 7th, 2026
Unfortunately no C2C at this timeRemember to check your CV before applying Also, ensure you read through all the requirements related to this role.ESSENTIAL DUTIES AND RESPONSIBILITIES
Data Engineering & Integration
Design, build, and maintain data pipelines and integrations usingAzure Data Factory ,SSIS , or equivalent ETL/ELT tools.
Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud).
Optimize and monitor data workflows for reliability, performance, and cost efficiency.
Implement and maintain data quality, validation, and error-handling frameworks.
Data Analysis & Reporting
Develop and maintain reporting databases, views, and semantic models for business intelligence solutions.
Design and publish dashboards and visualizations inPower BIandSSRS , ensuring alignment with business KPIs.
Perform ad-hoc data exploration and statistical analysis to support business initiatives.
Collaboration & Governance
Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements.
Maintain data integrity, enforce governance standards, and promote best practices in data stewardship.
Support data security and compliance initiatives in coordination with IT and business teams.
Continuous Improvement
Stay current with emerging data technologies and analytics practices.
Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery.
QUALIFICATIONS
Required:Strong SQL development skills and experience withMicrosoft SQL ServerandAzure SQL Database .
Hands-on experience withdata import, transformation, and integrationusingAzure Data Factory ,SSIS , or similar tools.
Proficiency in building BI solutions usingPower BIand/orSSRS .
Strong data modeling and relational database design skills.
Proficiency inMicrosoft Excel(advanced formulas, pivot tables, external data connections).
Ability to translate business goals into data requirements and technical solutions.
Excellent communication and collaboration skills.
Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
Preferred:
Experience withcloud-based data platforms(Azure Data Lake, Synapse Analytics, Databricks).
Familiarity withversion control tools(Git, Azure DevOps) and Agile development practices.
Exposure toPythonorPowerShellfor data transformation or automation. xywuqvp
Experience integrating data from insurance or financial systems.
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