Role Description At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II, you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS. - Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking. - Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows. - Write efficient, production-grade SQL and Python code for large-scale data processing and analysis. - Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines. - Improve pipeline performance, reliability, and observability, ensuring high data quality in production. - Build and maintain systems to support model performance tracking and data drift monitoring. - Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows. - Contribute to data architecture decisions and best practices across the platform. - Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure. Qualifications - 3–5 years of experience in Data Engineering, Data Platforms, or related roles. - Strong proficiency in Python and SQL with experience in production systems. - Hands-on experience with AWS services (S3, EC2, SageMaker or similar). - Solid experience building and managing Airflow (or similar orchestration tools). - Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design). - Experience working with large-scale datasets and distributed data systems. - Experience supporting ML workflows, datasets, or evaluation pipelines. - Strong problem-solving skills and ability to work independently in a fast-paced environment. Requirements - Experience with ML infrastructure, MLOps, or model evaluation workflows (Nice to Have). - Exposure to biometric systems or computer vision datasets (Nice to Have). - Familiarity with data quality frameworks, monitoring, and observability tools (Nice to Have). - Experience working in SaaS or high-scale production environments (Nice to Have). Benefits - IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection, and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC, and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Lead the development of a next-gen data strategy, oversee cloud infrastructure efficiency, drive telemetry lifecycle management, and build a high-performing engineering team to enhance data-driven decision-making and operational excellence.

Title: AWS Principal Data Engineer Department: Research & Development Job Description: Work mode: Hybrid Location(s): US-CA-Valencia; US-CA-Santa Clara; US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About the role: Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work. The AWS Principal Data Engineer is a senior, hands-on technical leader and principal individual contributor responsible for designing, building and evolving scalable, reusable AWS data platform solutions. In this role, you will transform governed data into trusted, production-ready data products that power clinical insights, commercial analytics and AI-driven innovation. Operating at the intersection of architecture, engineering execution and governance automation, you will shape how data flows from source systems through ingestion, transformation, quality enforcement and semantic enrichment. You will partner closely with data engineering, platform engineering, security, site reliability engineering (SRE), DevOps and governance teams to deliver a modern data platform that operates as a product rather than a collection of siloed solutions. As a principal-level individual contributor, you will establish technical direction, define reusable patterns and influence engineering standards across teams through expertise, architecture leadership and mentorship. Work model, sponsorship, relocation: At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time. This is a defined-term position with an anticipated duration of 24 months from the employee’s start date. Based on business needs and individual performance, there may be an opportunity for this role to be considered for regular full-time employment in the future. Your responsibilities will include: - Design reusable AWS data platform architectures and lead the implementation and migration of complex data pipelines supporting governed ingestion, batch, streaming, change data capture (CDC), event-driven processing and data product delivery, ensuring validated cutovers and stage-gated reconciliation. - Translate governance requirements into automated platform capabilities, including data contracts, schema validation, data quality controls, lineage capture, metadata management and access enforcement. - Build and maintain infrastructure-as-code modules, CI/CD templates and Terraform-based provisioning frameworks that enable scalable, secure and governed platform deployment. - Architect and implement platform capabilities for security, observability, resiliency and cost management, including encryption, identity and access management (IAM), telemetry, service-level objectives (SLOs) and cost attribution. - Design governed lakehouse and data product patterns using AWS-native services and open table formats, including Apache Iceberg, to support scalable analytics, AI workloads and enterprise data products. - Evaluate emerging technologies, document architectural decisions and establish engineering standards that advance platform maturity, scalability and operational excellence. - Provide technical leadership through architecture reviews, reference designs and mentoring, enabling engineering teams to adopt best practices and deliver predictable, high-quality solutions. Required qualifications: - Bachelor's degree in computer science, data engineering, information systems or a related technical field. - Minimum of 13 years' experience in data engineering, including a minimum of 6 years' experience designing and delivering cloud-native data platforms in AWS. - Minimum of 4 years' experience building scalable data platform solutions, including infrastructure-as-code, CI/CD, data integration (batch, streaming and CDC) and governance automation such as data contracts, quality controls, lineage and access management. - Demonstrated expertise with AWS data services, including S3, Glue, Athena, Lambda, MSK, Kinesis, DynamoDB, RDS, Redshift, EMR, Step Functions, DMS, ECS, Lake Formation and DataZone. - Production-level experience with Snowflake. - Strong programming and platform engineering expertise using Python, Terraform, Bash and distributed data processing frameworks such as Spark and Flink. - Experience with advanced data architecture and modeling concepts, including knowledge graphs, ontologies, semantic layers and GenAI-enabled data solutions. - Demonstrated ability to serve as a principal-level technical leader by establishing standards, influencing architectural direction and driving adoption across multiple engineering teams. - Ability to travel up to 10%. Preferred qualifications: - Master's degree in computer science, data engineering or a related technical field. - Knowledge of modern lakehouse and data governance technologies, including Alation, Atlan, DataHub, Informatica or Databricks. - Experience supporting AI/ML platforms, including governed analytical workspaces and model lifecycle management. - Familiarity with regulated industries such as medical devices, healthcare or life sciences. Requisition ID: 630230 Minimum Salary: $ 106800 Maximum Salary: $ 202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above. Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements). Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements). For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability. Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn. Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination. Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

Title: Director, Data Engineer - PGIM Technology (Hybrid - Newark, NJ) Location: Prudential Tower, 655 Broad Street, Newark, NJ time type Full time job requisition id R-124422 Job Description: Job Classification: Technology - Engineering & Cloud What you will do As the Director, Data Lead for the PGIM Product Technology, you will engage in requirements gathering, lead design, architect and partner with business owners, technology leads and engineering teams to support shift to Microsoft cloud platforms for data processing and management. This candidate will work to define and enforce standards while also overseeing end-to-end data engineering including sourcing, modeling, security, governance, and business intelligence functions. You will design and lead engineers to implement solutions in accordance with industry best practices. Your expertise in data processing and data analytics using the Microsoft Fabric platform will be crucial in delivering successful data solutions. The candidate will play a key role to bridge solutions, communication, timelines, and challenges/solutions to project stakeholders for multiple, concurrent overlapping implementation initiatives. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week. What you can expect: - Design and Implement Configurable Data Ingestion ETL framework including Data Quality, transformation and modelling. Implement Lakehouse solutions using Microsoft Fabric and paving the road to PGIM future state using Azure services and Fabric Infrastructure. - Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers. - Work with Infrastructure/Devops teams to come up with CI/CD pipelines as a framework that can be extended across organization. - Architect solutions that incorporate BI tools like Power BI ensuring seamless data integration for analytics and reporting. - Ensure data accuracy, consistency, and integrity across the data warehouse ecosystem by crafting robust solution designs. - Design and Build AI solutions leveraging search, embeddings, retrieval, ranking and Retrieval-Augmented Generation (RAG). - Set up roadmap for AI as a service to consuming systems and business stakeholders. - Establish a workspace architecture strategy through design and implement of data warehouse and lakehouse solutions allowing data sharing between different teams avoiding duplication, yet adhering to security and governance rules. - Lead a small team to design/build and monitor data and AI solutions. - Ensure teams follow best practices and standards for security, compliance, scalability, reliability, and performance. - Serve as SME in the Fabric space to technology partners, provide hands on training to development teams, and mentor business areas to maximize Fabric AI Capabilities. - Create and maintain comprehensive documentation (Playbooks) of solution architectures to internal and external stakeholders covering Data Fabric architecture, processes, and procedures. - Collaborate closely with our business and technology partners including data analysts, architects, engineers, and client stakeholders to gather requirements and translate them into scalable Microsoft Fabric solutions. - Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers. What you will bring: - Bachelor’s or Master’s degree in Computer Science, Data Engineering or related discipline. - 10+ years of experience in cloud computing with Microsoft Azure leading migrations, integrations, and deployments. 10+ years of experience as a Data Architect, with demonstrated expertise in designing, managing, and deploying client solutions. - Strong knowledge of Azure services and features including Azure Synapse Analytics, Azure Data Factory, Azure Storage Accounts, Azure Logic Apps, Azure Functions, Azure SQL Database, Azure Active Directory, Azure DevOps, Azure Monitor, etc. - Strong knowledge of Fabric workloads and features including Notebooks, Deployment Pipelines, Workspace architecture, Workspace Security, Data Warehouse/Lakehouse Architecture, Semantic Model, Data Factor, Data Flow, Data Activator, AI Skills, and Copilot, ultimately leading to AI capabilities in Power BI. - Build and deploy intelligent applications using Azure AI Foundry, leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry. - Proficient in CI/CD pipelines to deploy in azure environment using GitHub Actions. - Proven ability to implement data governance tools (Purview preferred), data security (OneLake Security preferred), and compliance requirements like data retention schedules and audit. - Specific experience in .Net architecture, design, and development using Azure platform services. Must have the proven ability of delivering multiple concurrent, overlapping projects in a fast paced technology team on-time, on budget and within scope. - Experience in leading technical teams to drive business outcomes. - Financial Services experience working with Asset Management esp on Institutional funds and Mutual funds preferred. - Must come to this position with superior communication, collaboration, and problem-solving skills capable of conveying technical concepts to both technical and non-technical stakeholders. - Microsoft certifications in data-related fields are preferred, such as Azure Solutions Architect Expert, Azure Developer Associate, Azure Administrator Associate, Azure Data Engineer, Fabric Engineer, Power BI Data Ana *PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The annual base salary range for this role is from $170,000 to $225,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. What we offer you: - Market competitive base salaries, with a yearly bonus potential at every level. - Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. - 401(k) plan with company match (up to 4%). - Company-funded pension plan. - Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. - Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. - Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. - Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law