AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Data Steward, you will play a key role in ensuring high-quality, reliable product data that directly impacts sales performance across the EMEA market. This role sits at the intersection of business and technology, shaping how product information flows through PIM systems and reaches external channels. You’ll have real influence on data standards, processes, and visibility, while collaborating with diverse stakeholders in a structured yet supportive environment. It’s an opportunity to grow your expertise in data stewardship, product information management, and cross-functional collaboration within a global setup. WHAT YOU WILL DO - Validate that mandatory product data provided by business teams is accurate and complete; - Upload product data into the PIM system and resolve data gaps, including coordinating with multiple stakeholders to complete missing information; - Syndicate product data into channel-specific templates and resolve any related issues; - Support business teams when they encounter issues using product data for the channel; - Clarify and communicate data issues and requirements to stakeholders to ensure data quality and accuracy; - Create, track, and report on the status of product data requests; - Reconfigure and maintain syndication templates in inRiver. MUST HAVES - Minimum of 3 years of experience in data management, with solid knowledge of core principles and concepts - Good understanding of the data lifecycle - Ability to use multiple tools to create and maintain data stewardship processes, inputs, and outputs - Hands-on experience with Inriver is required; alternatively, experience with Salsify, Informatica, or Akeneo (in complex implementations) will be considered - Experience working with retailers and marketplaces, including PIM syndication setup and management - Strong Excel skills - Ability to work efficiently under tight and ongoing deadlines - Strong communication skills, with the ability to interact with both business and technical stakeholders - Fluent written and spoken English . PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Meet Our Recruitment Process It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Data Steward, you’ll own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you. WHAT YOU WILL DO - Validate product data across core systems to ensure completeness and accuracy; - Upload product data into PIM systems and resolve data gaps with stakeholders; - Support business teams with product data issues across channels; - Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines; - Create, track, and report on product data and launch status; - Maintain and reconfigure syndication templates in inRiver. MUST HAVES - 3+ years of experience in data management; - Understanding of data lifecycle; - Experience using multiple tools for data management and stewardship; - Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo); - Experience with PIM syndication for retailers or marketplaces; - Proficiency in Excel; - Ability to work under tight deadlines; - Strong communication skills; - Fluent English level. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Meet Our Recruitment Process It includes main stages: Application→Coding Challenge→Video Interview→Technical Interview or Interview with the Hiring Manager(s). Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.

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.

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