Intelligent Automation Engineer 1

Hearst•Dallas, TX

About The Position

ABOUT US Homecare Homebase, a subsidiary of Hearst Corporation is a market leader in healthcare software development providing mobile cloud-based solutions for clinical, operational, and financial improvement of homecare and hospice agencies throughout the United States. Our software enables real time solutions for wireless information exchange and communication between office staff, field staff, and physicians. Our success is fueled by our talented technology teams that are driven by their passion to make a difference in patient care. Our employees work in a culture that is guided by values of caring, action, respect, excellence, and smile (a positive attitude). If you want to work in a role where your skills have a direct influence on patient care, Homecare Homebase is the next step in your career. We are hiring technologists that want to make a difference. ROLE CHARTER Mission Design, build, and enable intelligent automation solutions across HCHB—beginning with Tech Enabled Services (TES)—by combining process intelligence, data engineering, and modern automation techniques to improve scalability, efficiency, and decision-making, and to establish the foundation for AI-enabled operations. The IA Engineer I role builds the foundation for HCHB’s transition from legacy automation to scalable, intelligent automation aligned to corporate strategy. Why This Role Exists HCHB is transitioning from task-based, tool-specific automation toward intelligent, data-driven automation aligned to enterprise strategy. The Intelligent Automation Engineer I role provides early-career engineering capacity to: Translate business processes into scalable, automatable solutions Structure, validate, and integrate data that powers automation and analytics Build, support, and evolve automation and insight solutions across TES and Finance Support the organization’s progression toward AI-augmented workflows and decision intelligence Scope & Allocation ~60% TES / RCS (Initial Focus) Process understanding, workflow automation, and delivery of automation and analytics solutions that improve TES operations and scalability ~40% Finance & Broader Organization (Expanding Scope) Data engineering, KPI automation, dashboards, and support of cross-functional strategic initiatives as intelligent automation capabilities mature Measures of Success (First 12 Months) Delivery of production-quality automation and analytics solutions that reduce manual effort Improved cycle time, accuracy, or scalability within TES and Finance workflows Reliable operational and financial metrics enabling dashboards and decision support Documented automation patterns, data definitions, and reusable components Demonstrated readiness to own more complex intelligent automation initiatives with broader enterprise impact JOB DESCRIPTION Role Summary The Intelligent Automation Engineer I supports the design, development, and delivery of automation and analytics solutions that improve operational efficiency, scalability, and decision-making. The role will initially partner with Tech Enabled Services (TES) and Finance to deliver near-term automation and data-driven outcomes, while building the foundation for broader enterprise intelligent automation initiatives aligned to corporate strategy. This role reflects HCHB’s transition from task-based robotic automation toward data-driven, system-integrated, and AI-enabled intelligent automation . This role is designed for an early-career engineer with strong technical fundamentals who is interested in the evolution from task-based automation toward data-driven, AI-enabled intelligent automation across the organization. The role includes structured mentorship and hands-on guidance from senior engineering staff. Initial Focus (Year 1) Partner with Tech Enabled Services (TES) to understand and improve core operational workflows Collaborate with Finance / FP&A to enable reliable data, metrics, and reporting that support operational and strategic decisions Support the transition from legacy RPA-style automation toward more flexible, intelligent automation approaches Future Scope (Growth Path) Over time, this role will expand to: Support enterprise-wide strategic initiatives that benefit from automation, analytics, and decision intelligence Contribute to cross-functional modernization efforts beyond TES, including Finance, Product, Operations, and Corporate initiatives Help shape HCHB’s intelligent automation strategy as the organization adopts AI-enabled workflows

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
0–2 years of experience in software development, automation, analytics, or QA
Proficiency in at least one modern programming language used for automation or data engineering (e.g., Python, C#, Java, or similar )
Familiarity with data querying and transformation tools (e.g., SQL , scripting, APIs)
Strong analytical and problem-solving skills
Ability to translate complex business and operational requirements into technical solutions
Experience working with workflows, data pipelines, or automation logic
Strong written and verbal communication skills, including the ability to clearly document technical and functional solutions
Comfort collaborating with cross-functional stakeholders (Operations, Finance, Engineering)
HCHB requires all applicants to be US citizens or have a green card allowing them to work in the US without being subject to export control restrictions.

Nice To Haves

Experience with automation tools or workflow platforms (RPA, orchestration, or integration tools)
Familiarity with data analysis libraries (Pandas, NumPy)
Exposure to dashboards, BI tools, or reporting frameworks
Interest in AI/ML concepts (e.g., forecasting, classification, anomaly detection, NLP)
Agile or sprint-based delivery experience
Note : Prior experience with RPA tools is helpful but not required. The role is designed to support the evolution beyond traditional RPA into broader intelligent automation.

Responsibilities

Design, build, test, and support automation and analytics solutions that reduce manual work and improve scalability
Translate business requirements into maintainable technical solutions using scripting, workflow orchestration, and data integration
Support and enhance existing automation assets while helping guide the transition away from task-based RPA toward intelligent automation
Monitor, troubleshoot, and improve production automation and analytics solutions
Extract, clean, and structure operational and financial data using Python, SQL, and related tools
Automate data transformations, KPI calculations, and recurring analyses
Support dashboards, reporting, and data-driven decision support for TES and Finance
Improve data quality, validation, and reliability as inputs to automation and analytics
Partner with TES and Finance stakeholders to understand workflows, pain points, and strategic objectives
Document processes and system interactions with an automation-first perspective
Identify opportunities where automation, analytics, or AI can drive measurable business impact
Collaborate with engineering, data, and product teams as initiatives scale across the enterprise
Develop foundational skills in intelligent automation, analytics engineering, and AI concepts
Contribute to automation standards, documentation, and best practices
Stay current on emerging automation and AI technologies and apply learnings where appropriate