• Architect and implement Microsoft Fabric solutions for data integration, analytics, and governance. • Develop and maintain lakehouses, dataflows, and pipelines within Fabric. • Collaborate with business stakeholders to understand requirements and translate them into robust data models. • Optimize performance and ensure data security and compliance within the Fabric environment. • Stay current with Microsoft Fabric updates and best practices to drive innovation.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Engineer III is responsible for consistently designing, developing, and operationalizing data analysis and visualizations for the Granicus platform and internal reporting. This experienced role will make key architectural decisions about the development of the Granicus data stack, write maintainable code, and debug production issues across the data ecosystem. This new resource will be key in alleviating the reporting and import/export backlog. - AWS Expertise: Design, implement, and optimize data solutions leveraging AWS services (Lambda, Glue, S3, Redshift, Step Functions, Kinesis) for seamless data ingestion, transformation, storage, and real-time processing. - Data Pipelines and ETL: Develop robust ETL processes, ensuring accurate and timely data movement across platforms. - Stream Processing: Design and implement real-time streaming solutions to handle high-velocity data flows for timely insights. - Python and Pandas Mastery: Employ Python and Pandas for advanced data cleaning, manipulation, and analysis. - Data Warehousing and Modeling: Architect and maintain optimized data warehouses and data lakes, along with designing and implementing effective data models for efficient querying and analysis. - Query Optimization: Proactively tune query performance and data models to deliver fast and reliable data access. - Consistently design, develop, and operationalize data analysis and visualizations for the Granicus platform and internal reporting that is well-tested and stable. - Make key architectural decisions about the development of the Granicus data stack. - Write concise, legible, and maintainable code in support of data analysis and reporting. - Debug production issues across the data ecosystem. - Collaborate effectively in a remote team setting, communicating proactively and demonstrating a strong sense of ownership. Qualifications - 4+ years of experience in designing, implementing, and providing production support for highly reliable and scalable data systems, ideally with some of that experience at an early-stage startup. - Expert level experience in SQL and data lake architectures. - Strong working knowledge and experience developing in SQL, Typescript, and Python. - 3+ years of experience maintaining and developing data visualizations and reporting in Snowflake, including cost management and performance tuning. - A desire to craft great data analysis and reports that meet our customers’ and internal business needs. - The ability to work collaboratively in a remote team setting by communicating proactively and demonstrating a strong sense of ownership. - The ability to show empathy towards your coworkers and our customers. Requirements - Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program. - Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies. Benefits - We are a remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand. - At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be a part of our journey. - A few culture highlights include – Employee Resource Groups to encourage diverse voices. - Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work-life balance and current affairs. - Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more. - We bring in special guests from time to time to discuss issues that impact our employee population.

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. mission Your role in our mission - AI Model Development – Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration – Implement and optimize AI solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration. - Performance Optimization – Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. What we're looking for - Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. - 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in production operations involving machine learning, deep learning and GenAI. - Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. - What you should expect in this role - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation - The Deadline to submit applications for this posting is April 24, 2026 The pay range for this position is $117,800.00 - $168,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Become a part of our caring community and help us put health first We are looking for a highly skilled and hands‑on Lead Data Engineer to join our Home Health Data Engineering team. In this role, you will serve as a technical leader responsible for designing, building, and optimizing our cloud‑based data platforms. You will play a key role in implementing scalable, secure, and reliable data solutions that support our business strategy and accelerate our cloud modernization efforts. This position requires deep expertise in cloud data engineering—particularly Snowflake and Azure—and a strong ability to guide best practices, influence architectural decisions, and mentor engineers. We are looking for someone who is passionate about engineering excellence, automation, and building robust data systems that scale. The Lead Data Engineer will design, build, and optimize cloud‑native data pipelines and platform components, ensuring high performance, reliability, and scalability. On a regular basis, you will perform the following tasks: - Serve as a technical expert for Snowflake and Azure, leading hands‑on implementation across ingestion, transformation, orchestration, and platform optimization. - Develop and maintain API‑driven integrations using MuleSoft, enabling secure, scalable connectivity between cloud and on‑prem systems - Drive the migration from on‑prem SQL Server environments to Snowflake, including re‑architecting pipelines, data models, and workflows for the cloud. - Implement engineering best practices, including CI/CD for data, infrastructure‑as‑code, version control, testing frameworks, and observability. - Independently troubleshoot complex data and platform issues, identifying root causes and designing effective long‑term solutions. - Collaborate with data architects, analysts, and business partners to translate requirements into robust, production‑ready solutions. - Mentor and support data engineers, providing technical guidance, code reviews, and thought leadership to elevate engineering standards. - Optimize data models, storage patterns, and compute usage to ensure cost‑efficient and high‑performance operations. - Partner with IT, security, and governance teams to ensure compliance, data quality, and secure handling of sensitive healthcare data. - Evaluate and introduce new tools, frameworks, and cloud capabilities that enhance our data platform and engineering productivity. Use your skills to make an impact Required Qualifications: - 8+ years' extensive hands‑on experience with Snowflake, including performance tuning, data modeling, RBAC, tasks, streams, and secure data sharing. - 8 years' strong expertise in Azure cloud services, such as Data Factory, Databricks, Functions, Storage, Key Vault, and Azure DevOps. - Proficiency in SQL, Python, and modern ETL/ELT frameworks. - Experience working with MuleSoft for API‑driven integrations, data movement, and connecting cloud and on‑prem systems - Experience with CI/CD pipelines, Git‑based workflows, and infrastructure‑as‑code (Terraform, Bicep, or similar). - Strong understanding of data architecture, distributed systems, and cloud platform engineering. - Ability to work independently, take ownership of complex technical initiatives, and drive them to completion. - Demonstrated strength as a creative and analytical problem solver, capable of navigating ambiguity and designing effective solutions. - Ability to lead technical discussions, influence design decisions, and mentor engineers. - Experience working with healthcare data is a plus. Technologies You Will Work with Regularly - Snowflake - Azure (ADF, Databricks, Functions, Storage, DevOps) - Python - Mulesoft - CI/CD tooling - Terraform / Infrastructure as Code Work-At-Home Requirements To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: - At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested - Satellite, cellular and microwave connection can be used only if approved by leadership - Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. - Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. - Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 03-08-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. ​ Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.