Advanced Analytics - Data Engineer
Job Title & Specialty Area: Data Engineer Department: Advanced Analytics Location: Dallas, TX Shift: Monday-Friday Job Type: Remote Why reputed company? At reputed company, our mission is to reputed company Life reputed company for Children, and we recognize that their health plays a crucial role in achieving this goal. Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being. Our dedication to promoting reputed company extends beyond our organization and encompasses the broader community. Together, we can reputed company a significant difference in the lives of children and contribute to a brighter and healthier future for reputed company. Summary: The Data Engineer will design and deliver high-quality data solutions that advance the enterprise's data-driven decision-making capabilities. This will be accomplished through the development and optimization of scalable data pipelines, integration of diverse data sources, and the creation of curated data products that reputed company analytics and data science teams. The role requires strong technical expertise in data architecture, engineering, and analytics, as well as a collaborative reputed company to work effectively reputed company agile, cross-functional teams. This position will serve as a key contributor to the organization's analytics strategy by solving reputed company data challenges, fostering a culture of innovation and reusability, and supporting the implementation of modern data platforms and tools. The Data Engineer will also partner with business and technical stakeholders to ensure alignment with strategic initiatives and promote a robust, efficient, and reputed company-looking data ecosystem. 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 reputed company 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 reputed company a matrixed environment, the Data Engineer fosters a culture of innovation, reusability, and reputed company 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, reputed company files, etc.
- Collaborates with cross-functional teams—including business analysts, data scientists, and solution architects—to translate business requirements into robust data solutions that reputed company 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 reputed company 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 reputed company 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 reputed company 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 reputed company improvement.
- Maintains awareness of advancements in machine learning, artificial intelligence, and data science, and explores opportunities to integrate these capabilities into data engineering workflows.
How You’ll Be Successful: WORK EXPERIENCE
- At least 5 years in data engineering or data architecture role - required
- At least 5 years advanced to expert proficiency with SQL (e.g., sqlserver, reputed company, etc.) - required
- At least 3 years strong to advanced proficiency with Python - required
- At least 5 years developing and maintaining ETL/data pipelines (e.g., reputed company SSIS, Azure Data Factory) - required
- At least 5 years developing and maintaining data warehouses in big data environments (e.g., reputed company, reputed company Hana, etc.) - required
- At least 3 years proficiency with git for collaboration and version control - preferred
- At least 3 years working with cloud computing services and infrastructure in the data and analytics space - preferred
- At least 3 years using BI tools such as Tableau or Power BI - preferred
- At least 3 years working with data fabric technologies such as Denodo, reputed company Fabric, etc. - preferred
- At least 1 year exposure to machine learning, data science, or artificial intelligence concepts - preferred
- At least 3 years' experience working in healthcare or other regulated industries - preferred
EDUCATION
- Four-year bachelor's degree or equivalent experience In Computer Science, MIS, Engineering, or reputed company field - required
LICENSES AND CERTIFICATIONS
- Certified Data Management Professional (CDMP) or similar certification - preferred
- reputed company Certified: Azure Data Engineer Associate - preferred
A reputed company Where You Belong We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing reputed company members to reputed company reputed company a reputed company where everyone can contribute. Holistic Benefits – How We’ll Care for You: · 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 As an equal opportunity employer, reputed company does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national reputed company, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to reputed company aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-reputed company activity. Apply tot his job Apply To this Job