• Collaborate with multiple product teams for unified data strategies • Design scalable ELT/ETL pipelines in AWS and GCP • Implement data quality frameworks for performance metrics • Mentor mid-level engineers and improve data workflows

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description The Senior Data Engineer is responsible for designing, developing, and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR systems. The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic, and IVR event data. This role is critical for ensuring platform stability, supporting complex backend investigations, and enabling long-term scalability of the IVR solution. Responsibilities - Design, develop, and maintain databases supporting IVR and contact center systems - Support databases used by both runtime IVR services and analytics platforms - Design and maintain relational data models for IVR event, routing, and call data - Write, maintain, and optimize SQL for application logic, configuration changes, and investigations - Ensure database availability, integrity, performance, and scalability in production environments - Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting - Monitor and troubleshoot production databases and support incident investigations - Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements Qualifications - 5+ years of experience as a Data Engineer - Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing - Hands-on experience with AWS hosted relational and NoSQL databases - Solid experience in relational data modeling for transactional and analytical systems - Experience working with event-based data and backend systems generating high volumes of interaction data - Strong experience with AWS - Build and maintain scalable ETL/ELT pipelines for ingestion and transformation - Strong Python (or Golang/Java/Scala) - Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes) Nice to have: - Experience with Apache Spark, Spark Streaming, or Kafka - Experience working with IVR platforms or voice systems, or telecom data - Experience with Amazon Aurora MySQL and Amazon Redshift. - Experience with relational and analytical database technologies such as PostgreSQL or cloud-based data warehouses - Scripting skills in Python or Shell for automation and support tasks - Background in customer experience analytics - AWS Certified Data Engineer Additional Information We offer: - Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. - ForeverRemote work culture: make the most of the flexibility that comes with remote work. - Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

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.

Join Zepz: Breaking Down Borders, Together Our Meaningful MissionAt Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting edge finance and tech. Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad. We're not just moving money; we're building a world that truly recognizes and supports global connections.Who You'll Be JoiningWe look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk.Our Core Commitments — What We Live ByOur vibrant and truly diverse culture is built on three core commitments, that guide how we work and interact: - Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other. - Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering. - Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve. Perks of Joining Our TeamWe believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. Our remote-first culture means you have the flexibility to work in your employing country wherever you feel the most focused and productive. This freedom comes with wonderful tailored, location-specific perks designed to support your whole life, not just your work. Think unlimited annual leave , great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel. About the Role We are looking for a Senior Data Analytics Engineer to help us optimize our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business. Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organization. You will build and maintain new data models, optimize existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business. Our current Data Platform tech stack includes: - Data Lakehouse: Databricks - Cloud & Infrastructure: AWS (S3, Lambda), Kubernetes - Data Processing: Python is our primary language - Orchestration & Transformation: dbt, Fivetran, and Airflow - Visualization: Mode and similar BI tools - Data monitoring and alerting: Metaplane What You'll Do - Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self service on data among teams. - Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making. - Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights. - Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers. - Champion Data Culture: Champion the use of data to optimize business performance and bring fresh analytical ideas to the table. - Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences. - Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure. - Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources. - Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making. What We’re Looking For From You - You are highly proficient with daily use of SQL and have hands-on experience in a modern cloud data warehouse/ lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake). - You’re comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines. - You have the ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews. - You have a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer. - You see yourself as a strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of your technical solutions. - You are an advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards. - You are passionate about learning, able to quickly adopt new business concepts and technologies, and are an independent, curious person who likes to take initiative. - You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world. Bonus Points - You have familiarity with dbt to design and implement data models. - Experience with data orchestration tools - AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus. - Customer risk rating definition, calibration, testing and documentation. If you want to join us in our journey to help break barriers in financial access and improve lives globally, there's no better place or time to join. Our global team of 800+ people is spread across six continents. We aspire to hire the best mix of people from former Olympians to YouTube influencers and we speak over twenty languages. This incredible diversity isn't a bonus; it's the engine that lets us serve the world. Ready to Apply? Let’s Go.