Data Measurement and Reporting Advisor

Jobtailor; Arizona; On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in the United States is seeking a skilled data engineer to design, build, and maintain complex data pipelines, UI tools, and automation that support provider data, adoption, and regulatory compliance initiatives.

You will work with IT and business partners to translate requirements into scalable technical solutions, improve data quality, and enable robust reporting across multiple systems and data sources.

Qualifications

• Bachelor's degree or higher strongly preferred or equivalent work experience required.
• Strong experience with SQL and relational data design.
• Hands-on experience with ETL development and data pipeline engineering.
• Proficiency in Python, C#, SSIS, and SAS (or comparable combination of scripting and programming languages).
• Experience building custom user interfaces or internal tools that support data capture, automation, or operational workflows.
• Ability to translate complex business processes into technical, production-ready solutions.
• Experience working cross-functionally with business partners and IT teams in complex enterprise environments.

Responsibilities

• Design, develop, and maintain complex technical solutions, including custom user interfaces, automation tools, and data pipelines supporting provider data, adoption, and regulatory compliance initiatives.
• Build and enhance UI-driven tools and workflow solutions that automate manual processes, enable structured data collection, and support downstream reporting and analytics.
• Develop and maintain ETL processes that ingest, transform, reconcile, and consolidate data from multiple internal systems and external vendor files.
• Automate complex reconciliation and matching processes, reducing manual effort and enabling low-touch or one-click workflows for operational teams.
• Translate business and operational requirements into scalable technical solutions, including data models, ETL logic, automation workflows, and backend processing across multiple platforms and data sources.
• Refactor and modernize legacy reporting and automation solutions, improving performance, scalability, reliability, and maintainability across enterprise migration and modernization initiatives.
• Work hands-on with complex and incomplete (“messy”) data, partnering with business stakeholders to understand upstream processes, data gaps, and system behaviors.
• Partner directly with IT teams at a technical design level, defining data structures, tables, indices, and upstream capture requirements to ensure solutions are implemented correctly and sustainably.
• Serve as a technical liaison between business and IT, while also performing hands‑on development work; this role is a hybrid of developer and business analyst, not a requirements‑only position.
• Support end‑to‑end technical delivery for high‑visibility initiatives, including enterprise migrations, automation programs, provider data modernization, and regulatory reporting.
• Identify opportunities for process improvement and automation to reduce manual effort, improve data quality, and increase operational efficiency.
• Ensure data accuracy, consistency, and reliability across regulated and compliance‑sensitive environments through strong development, validation, and quality practices.

Skills

SQL

Relational data design

ETL development

Python

C#

UI development

Data pipelines

Cross-functional collaboration

translate business requirements into技术

Education

Bachelor's degree or higher

Tools

SSIS

SAS

SQL Server

Job description

Key Responsibilities

• Design, develop, and maintain complex technical solutions, including custom user interfaces, automation tools, and data pipelines supporting provider data, adoption, and regulatory compliance initiatives
• Build and enhance UI-driven tools and workflow solutions that automate manual processes, enable structured data collection, and support downstream reporting and analytics
• Develop and maintain ETL processes that ingest, transform, reconcile, and consolidate data from multiple internal systems and external vendor files
• Automate complex reconciliation and matching processes, reducing manual effort and enabling low-touch or one-click workflows for operational teams
• Translate business and operational requirements into scalable technical solutions, including data models, ETL logic, automation workflows, and backend processing across multiple platforms and data sources
• Refactor and modernize legacy reporting and automation solutions, improving performance, scalability, reliability, and maintainability across enterprise migration and modernization initiatives
• Work hands-on with complex and incomplete (“messy”) data, partnering with business stakeholders to understand upstream processes, data gaps, and system behaviors
• Partner directly with IT teams at a technical design level, defining data structures, tables, indices, and upstream capture requirements to ensure solutions are implemented correctly and sustainably
• Serve as a technical liaison between business and IT, while also performing hands‑on development work; this role is a hybrid of developer and business analyst, not a requirements‑only position
• Support end‑to‑end technical delivery for high‑visibility initiatives, including enterprise migrations, automation programs, provider data modernization, and regulatory reporting
• Identify opportunities for process improvement and automation to reduce manual effort, improve data quality, and increase operational efficiency
• Ensure data accuracy, consistency, and reliability across regulated and compliance‑sensitive environments through strong development, validation, and quality practices

Requirements

• Bachelor's degree or higher strongly preferred or equivalent work experience required
• Strong experience with SQL and relational data design
• Hands‑on experience with ETL development and data pipeline engineering
• Proficiency in Python, C#, SSIS, and SAS (or comparable combination of scripting and programming languages)
• Experience building custom user interfaces or internal tools that support data capture, automation, or operational workflows
• Ability to translate complex business processes into technical, production‑ready solutions
• Experience working cross‑functionally with business partners and IT teams in complex enterprise environments