The Data Engineer is a key contributor in advancing the firms data strategy and analytics ecosystem, transforming raw data into actionable insights that drive business decisions. This role requires a technically strong, curious professional committed to continuous learning and innovation. The ideal candidate combines analytical acumen with data engineering skills to ensure reliable, efficient, and scalable data pipelines and reporting solutions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Data Engineering & Integration
Design, build, and maintain data pipelines and integrations using Azure 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 in Power BI and SSRS, 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 with Microsoft SQL Server and Azure SQL Database.
Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools.
Proficiency in building BI solutions using Power BI and/or SSRS.
Strong data modeling and relational database design skills.
Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections).
Ability to translate business goals into data requirements and technical solutions.
Excellent communication and collaboration skills.
Bachelors degree in Computer Science, Information Systems, or a related field (or equivalent experience).
Preferred:
Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks).
Familiarity with version control tools (Git, Azure DevOps) and Agile development practices.
Exposure to Python or PowerShell for data transformation or automation.
Experience integrating data from insurance or financial systems.
Compensation: $120-129K
This position is 3 days onsite/hybrid located in Overland Park, KS
We look forward to reviewing your application. We encourage everyone to apply - even if every box isnt checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.
Numbers & Facts
Location
Overland Park, KS
Salary
$120,000–$129,000 Per Year
Skills
Agile Programming Methodologiesunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Automationunmatched
Best Practicesunmatched
Business Intelligenceunmatched
Business Modelunmatched
Business Skillsunmatched
Business Solutionsunmatched
Business Supportunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Improvementunmatched
Data Analysisunmatched
Data Import/Exportunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Database Administrationunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Ecosystemsunmatched
Emerging Technologyunmatched
Engineeringunmatched
Error Handlingunmatched
Financial Systemsunmatched
Gitunmatched
Information Technology & Information Systemsunmatched