Children's Health · 1 day ago
Advanced Analytics - Data Engineer
Children's Health is committed to making life better for children through innovative healthcare solutions. The Data Engineer will design and deliver high-quality data solutions to enhance the organization's data-driven decision-making capabilities, focusing on developing scalable data pipelines and integrating diverse data sources.
AssociationHealth CareHospitalMedical
Responsibilities
Recognized internally as a key technical contributor in the data engineering domain, the Data Engineer plays a pivotal role in advancing the organization’s analytics capabilities. This position is accountable for the design, development, and optimization of data pipelines and architectures that support enterprise-wide analytic initiatives and strategic decision-making. The Data Engineer collaborates with cross-functional teams to translate complex business needs into scalable data solutions, applying critical thinking and technical expertise to solve data challenges with broad organizational impact. This role leads the implementation of modern data platforms and tools, influences data governance practices, and contributes to the evolution of enterprise data strategy. The Data Engineer anticipates emerging data trends and technologies, recommends enhancements to data infrastructure and processes, and communicates technical concepts clearly to both technical and non-technical stakeholders. Operating within a matrixed environment, the Data Engineer fosters a culture of innovation, reusability, and continuous improvement across the analytics ecosystem
Designs, develops, and maintains scalable data pipelines and architectures that support enterprise analytics and reporting needs. Applies deep technical expertise to ensure data solutions align with business goals and adhere to best practices in ETL, data modeling, and governance. Able to quickly learn and understand data from diverse sources such as third-party APIs, cloud or on-premise SQL databases, Excel files, etc
Collaborates with cross-functional teams—including business analysts, data scientists, and solution architects—to translate business requirements into robust data solutions that enable actionable insights and strategic decision-making
Collaborates with stakeholders and clients to translate opportunities to data solutions. Leverages effective communication strategies to accelerate strategic initiatives
Acts as the technical lead for projects involving integration and curation of data from diverse sources, ensuring data quality, consistency, and accessibility across platforms. Administers and optimizes data warehouse environments and cloud-based infrastructure to support high-performance analytics
Identifies and resolves complex data issues, proactively addressing data gaps, latency, and transformation challenges to ensure reliable and timely delivery of information
Champions a culture of reusability, scalability, and operational efficiency by developing standardized processes, reusable components, and documentation for data engineering practices
Evaluates and implements emerging tools and technologies in the data engineering space, contributing to the continuous evolution of the enterprise data ecosystem
Develops and delivers training and communication materials to promote understanding of data engineering capabilities, standards, and processes across the organization
Mentors junior team members and contributes to technical discussions such as regular peer code review, fostering a collaborative environment that supports innovation, learning, and continuous improvement
Maintains awareness of advancements in machine learning, artificial intelligence, and data science, and explores opportunities to integrate these capabilities into data engineering workflows
Qualification
Required
At least 5 years in data engineering or data architecture role
At least 5 years advanced to expert proficiency with SQL (e.g., sqlserver, Oracle, etc.)
At least 3 years strong to advanced proficiency with Python
At least 5 years developing and maintaining ETL/data pipelines (e.g., Microsoft SSIS, Azure Data Factory)
At least 5 years developing and maintaining data warehouses in big data environments (e.g., Snowflake, SAP Hana, etc.)
Four-year bachelor's degree or equivalent experience In Computer Science, MIS, Engineering, or related field
Preferred
At least 3 years proficiency with git for collaboration and version control
At least 3 years working with cloud computing services and infrastructure in the data and analytics space
At least 3 years using BI tools such as Tableau or Power BI
At least 3 years working with data fabric technologies such as Denodo, Microsoft Fabric, etc
At least 1 year exposure to machine learning, data science, or artificial intelligence concepts
At least 3 years' experience working in healthcare or other regulated industries
Certified Data Management Professional (CDMP) or similar certification
Microsoft Certified: Azure Data Engineer Associate
Benefits
Employee portion of medical plan premiums are covered after 3 years.
4%-10% employee savings plan match based on tenure
Paid Parental Leave (up to 12 weeks)
Caregiver Leave
Adoption and surrogacy reimbursement
Company
Children's Health
Children's Health care specialized children's all health related issue and solve instantly.
H1B Sponsorship
Children's Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (2)
2022 (3)
2021 (2)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$22.4MKey Investors
Communities Foundation of TexasHyundai Hope On Wheels
2025-06-26Grant· $3M
2024-08-28Grant· $0.4M
2013-12-02Grant· $19M
Recent News
Dallas Innovates
2025-11-06
2025-11-05
Company data provided by crunchbase