UVVC is a leading provider of comprehensive vein and vascular care with over 45 clinics across Arizona, Chicago, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions. United Vein & Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for its patients.
Senior Data Engineer/ Architecture (ADF & Databricks)
Location
United States
Posted
85 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer/ Architecture (ADF & Databricks)
United Vein & Vascular Centers
The Senior Data Engineer will report to the Senior Director of Data & AI and will help ensure UVVC’s implementation and use of technology meets the business needs and supports the company mission. As key member of the Data team, you’ll collaborate with other leaders and their teams across the entire organization. In this part of your role, you will create opportunities for strategy, leverage and technology direction solutions across UVVC business units. This position is open to remote candidates. Data Pipeline Development & Orchestration - Design, build, and optimize end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks. - Develop robust ingestion frameworks for batch and streaming data from APIs, databases, SaaS platforms, and internal systems. - Create scalable and architecturally sound data transformation frameworks using Delta Lake (medallion architecture), Spark, and SQL, aligned with enterprise Lakehouse standards. Implement CI/CD, parameterization, triggers, and pipeline automation best practices Azure Data Platform Engineering - Architect, manage, and optimize enterprise data environments across ADLS, Azure SQL, and Databricks, including cluster design, cost governance, and workload isolation strategies. - Conduct performance tuning, cluster scaling, monitoring, and cloud cost optimization. - Implement DataOps practices including testing, version control, monitoring, and documentation. Data Quality, Governance & Reliability - Build data validation, auditing, and error-handling frameworks to ensure accuracy and consistency. - Maintain documentation, naming standards, metadata structures, and governance best practices. - Troubleshoot complex data issues and deliver sustainable technical solutions. Databricks Architecture & Platform Ownership - Design and implement enterprise-grade Databricks Lakehouse architecture (Bronze, Silver, Gold layers). - Define and enforce data engineering standards, naming conventions, and architectural patterns across all pipelines. - Lead the architecture of Delta Lake design patterns, including partitioning, optimization, and data lifecycle management. - Establish scalable cluster strategies, job orchestration frameworks, and workspace organization. - Drive performance optimization strategies across large-scale distributed data workloads. - Own security and governance frameworks within Databricks (Unity Catalog, access controls, data lineage). - Evaluate and implement new Databricks capabilities and ensure alignment with enterprise data strategy. Cross-Functional Collaboration - Work closely with clinical, finance, RCM, operations, and IT teams to understand business needs. - Provide technical guidance on data engineering patterns and platform capabilities. - Clearly communicate progress, risks, and technical decisions to stakeholders and leadership - Demonstrate and promote a work culture committed to UVVC’s Core Values: Understanding, Nurturing, Ingenuity, Trust, Excellence, and Diversity. - Demonstrate behaviors that are consistent with UVVC’s Standards of Conduct as outlined in our Employee Handbook. - Uphold confidentiality and compliance standards in accordance with UVVC policies, the Health Insurance Portability and Accountability Act (HIPAA), and other applicable laws and regulations. PHI is a top priority of our organization. Qualifications - 6+ years of hands-on data engineering experience. - Strong expertise in: - Azure Data Factory (ADF)—pipelines, mapping data flows, IR management. - Azure Databricks—notebooks, Spark, Delta Lake, workflow orchestration. - SQL—complex logic, performance optimization, analytics queries, stored procedures. - Proficiency in building scalable cloud ETL/ELT solutions. - Deep expertise in Lakehouse architecture (Medallion: Bronze/Silver/Gold) and Delta Lake optimization techniques. - Proven experience operating at a Databricks Architect level, designing and implementing enterprise-scale data platforms. - Strong understanding of Databricks Unity Catalog, data governance, and security models. - Experience defining data platform standards, frameworks, and best practices across teams. - Strong knowledge of data modeling, governance, and distributed processing. Highly Preferred (Major Plus) - Experience with AI/ML workflows, feature engineering, or model enablement. - Healthcare data experience (EHR/EMR, HL7, FHIR, claims, RCM). - Experience leading or mentoring teams on Databricks architecture and best practices. - Experience building multi-workspace or multi-environment Databricks strategies (Dev/Test/Prod). - CI/CD experience (Azure DevOps, GitHub Actions, Databricks Repos). - Python experience for ETL logic, automation, or ML support. - Familiarity with real-time processing (Structured Streaming) within Databricks Experience with Azure Synapse or equivalent warehousing technologies About us: UVVC, is a leading provider of comprehensive vein and vascular care with over 45 clinics across Arizona, Chicago, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions. United Vein & Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for it’s patients.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
The Team At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for. We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! The Role The Data Engineer must be comfortable working virtually as part of one or more customer engagements. You will work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. - Position Location: Remote (Latin America). - Time Zone Requirements: This team operates on US East/West Coast time zones. Candidates must be willing to adjust schedules to meet specific project needs. How you’ll make an impact: - Pipeline Architecture: Create and maintain optimal data pipeline architecture. - Data Assembly: Assemble large, complex data sets that meet functional and non-functional business requirements. - Process Improvement: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. - Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of sources using SQL and Cloud technologies (Azure/GCP). - Tooling: Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. What we’re looking for: - Communication: Advanced English (B2-C1, spoken and written). - Experience: 4+ years as a Data Engineer experience building processes supporting data transformation, data structures, metadata, dependency, and workload management. - Technical Stack: Experience with Databricks, Python, and SQL (Scala is a plus). - Big Data Tools: Familiarity with Apache Spark, Data Factory, Synapse, or BigQuery. - Data Pipelines: Experience building Big Data pipelines via Streams and/or Batches. - Analytical Skills: Strong skills related to working with unstructured datasets and performing root cause analysis to identify opportunities for improvement. What you’ll love: - 100% Remote - Holidays Off - Paid Time Off - Health insurance assistance program - Competitive Pay (USD) - Excellent teamwork and work environment - Training
Senior Data Specialist
Globaldev GroupBuilding remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱
A leading entity in the construction and real estate sector is on the lookout for a Senior Data Specialist. The primary objective is to architect and implement comprehensive HR data integrations connecting Workday with a Snowflake data lake and AWS-powered AI layers, ensuring seamless data flow and security across systems. This role is pivotal in developing an enterprise-grade HR data platform, focusing on creating robust, scalable integrations between Workday and external systems like Snowflake and AWS. The project aims to enhance HR operational efficiency and data-driven decision-making. The specialist will navigate complex data environments, ensuring integrations are secure, compliant, and optimized for performance. Responsibilities - Design and document Workday integration architecture for HR, Payroll, and Absencemodules. - Build and optimize Workday RaaS reports for efficient data ingestion into Snowflake. - Implement REST API endpoints with OAuth 2.0 authentication and pagination. - Configure SOAP write operations and domain-specific ISUs with minimal privilege access. - Establish a comprehensive audit log for all write operations to ensure traceability. Requirements - Proven expertise in Workday integration patterns (READ and WRITE) and Workday Studio. - Strong experience with AWS, Snowflake, and OAuth 2.0 configurations. - Familiarity with SOAP and REST web services, including security and authorization setups. - Ability to map Workday fields to Snowflake schema accurately. - Experience in setting up and configuring ISUs and ISSGs per Workday best practices. Engagement Highlights - Opportunity to work on a high-impact project within a leading company in the construction and real estate industry. - Use of modern technology stacks, including AWS, Snowflake, and Workday. - Potential for contract extension and consideration for a full-time position based on performance. Benefits - We value your skills and ensure you’re rewarded accordingly. - Comfortable environment, challenging tasks, and a long-term interesting project; - Fully remote work with a flexible setup. - Our supportive and approachable HR team is always here to help you thrive.
Senior Data Specialist
Globaldev GroupBuilding remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱
A leading entity in the construction and real estate sector is on the lookout for a Senior Data Specialist. The primary objective is to architect and implement comprehensive HR data integrations connecting Workday with a Snowflake data lake and AWS-powered AI layers, ensuring seamless data flow and security across systems. This role is pivotal in developing an enterprise-grade HR data platform, focusing on creating robust, scalable integrations between Workday and external systems like Snowflake and AWS. The project aims to enhance HR operational efficiency and data-driven decision-making. The specialist will navigate complex data environments, ensuring integrations are secure, compliant, and optimized for performance. Responsibilities - Design and document Workday integration architecture for HR, Payroll, and Absencemodules. - Build and optimize Workday RaaS reports for efficient data ingestion into Snowflake. - Implement REST API endpoints with OAuth 2.0 authentication and pagination. - Configure SOAP write operations and domain-specific ISUs with minimal privilege access. - Establish a comprehensive audit log for all write operations to ensure traceability. Requirements - Proven expertise in Workday integration patterns (READ and WRITE) and Workday Studio. - Strong experience with AWS, Snowflake, and OAuth 2.0 configurations. - Familiarity with SOAP and REST web services, including security and authorization setups. - Ability to map Workday fields to Snowflake schema accurately. - Experience in setting up and configuring ISUs and ISSGs per Workday best practices. Engagement Highlights - Opportunity to work on a high-impact project within a leading company in the construction and real estate industry. - Use of modern technology stacks, including AWS, Snowflake, and Workday. - Potential for contract extension and consideration for a full-time position based on performance. Benefits - We value your skills and ensure you’re rewarded accordingly. - Comfortable environment, challenging tasks, and a long-term interesting project; - Fully remote work with a flexible setup. - Our supportive and approachable HR team is always here to help you thrive.
• Own the end-to-end data quality backlog: intake, analysis, prioritization, definition, tracking, and closure. • Define severity/impact criteria (patient, compliance, operational, reporting) and SLAs with key stakeholders. • Perform root cause analysis for issues such as duplicates, missing/invalid values, inconsistent definitions, referential integrity problems, mapping errors, and out-of-standard data. • Implement remediation actions: validation rules, deduplication, normalization, reconciliation, and preventive monitoring. • Design and maintain data quality controls (tests, rules, scorecards) and alerting to prevent recurrence. • Work confidently with standard/custom objects, relationships, security/access model considerations, integrations, and processes impacting data quality. • Ensure solutions follow Salesforce data management standards and best practices (governance, naming conventions, ownership, stewardship, lineage/traceability where applicable). • Collaborate with PO/BA/Engineers/QA to turn data issues into actionable Salesforce-related data quality user stories. • Lead/participate in refinement: scope definition, acceptance criteria, test approach, release plan, and validation. • Support execution and verify outcomes in lower environments and production. • Provide guidance and recommendations on data strategy, data management standards, and sustainable quality practices. • Propose a 2026 roadmap of quick wins and structural improvements to improve reliability and reduce recurring issues.


