Role Description We are seeking a Lead Data Engineer to join our Data Platform team. In this role, you will lead the design and delivery of scalable, high-impact data solutions that power critical business and clinical workflows. You’ll partner closely with data engineers, analytics engineers, product, and business stakeholders to evolve our platform into a reliable, high-trust system that supports Cohere’s growth. This is an opportunity to shape technical direction, mentor engineers, and drive engineering excellence across the platform. - Lead the design and execution of complex data platform initiatives from architecture through production delivery - Provide technical leadership across the squad, guiding engineers on system design, development best practices, and incident response - Drive engineering excellence through code reviews, testing standards, CI/CD practices, and documentation - Mentor engineers across levels, supporting growth, feedback, and alignment with career progression frameworks - Collaborate with Staff Engineers and Engineering Managers to evolve platform architecture, scalability, and reliability - Partner with product, analytics, and business teams to translate requirements into scalable and maintainable data solutions - Own delivery outcomes in ambiguous or cross-functional initiatives, ensuring clarity, accountability, and execution - Promote a culture of quality, operational excellence, and continuous improvement across the team Qualifications - 7+ years of experience in data engineering, including technical leadership or lead experience - Experience working with healthcare data (e.g., claims, EMR, clinical datasets) - Proven track record building and owning scalable data platforms or infrastructure - Strong proficiency with modern data tools (e.g., dbt, Airflow, Iceberg, EMR, Athena, Kafka) and AWS - Advanced Python and SQL skills, with a focus on testing, observability, and maintainable code - Deep expertise in system design, data modeling, and scalable data architecture - Ability to navigate ambiguity, influence stakeholders, and drive technical decisions across teams - Experience with modern data platforms (e.g., Databricks, Snowflake), data governance/quality, and migrating legacy systems to scalable architectures Benefits - 💻 Fully remote opportunity with about 5% travel - 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program - 📈 401K retirement plan with company match; flexible spending and health savings account - 🏝️ Flex Time Off + company holidays - 👶 Up to 14 weeks of paid parental leave - 🐶 Pet insurance Interview Process - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Feature Design - System Design - Cross Functional Interview

Role Description As a (Senior) Data Engineer in our data engineering tribe spanning over data platform, analytics, and regulatory reporting teams, you play a crucial role in owning our data stack. You will be instrumental in building and maintaining robust data pipelines, making critical data available to various stakeholders throughout the company, and contributing to our data-driven culture. - Develop the scalable, cloud-based data platform essential to our data-driven company, leveraging the most up-to-date data technologies. - Shape an AWS-based data processing solution, ingesting data from our internal backend services as well as from third parties. - Extend our lakehouse integrating data for regulatory use cases and empowering various teams in decision-making, driving innovation, performance optimization, and strategic objectives. - Prepare and clean structured and unstructured data and develop high-quality data models for reporting, advanced analytics, and AI use cases. - Design and implement testing and monitoring components to ensure the accuracy, reliability, and performance of data pipelines. - Collaborate closely with highly ambitious and skilled people in our growing data teams, as well as product & engineering colleagues to release smart features for our products. - Stay up to date with the latest industry developments in data engineering and cloud architecture and share your expertise best practices within the company. Qualifications - University degree in computer science, mathematics, natural sciences, or a similar field. - Significant experience in data engineering. - Hands-on experience designing and operating data pipelines in AWS with services like S3, Athena, DMS, and Glue. - Excellent SQL skills, including advanced concepts such as window functions; experience with dbt is a plus. - Advanced knowledge about cloud networking & security (AWS IAM, VPC, Security Groups, ...). - Proficient and experienced with Infrastructure as Code, ideally Terraform. - Strong programming skills in Python, ideally including Airflow and data processing frameworks such as PySpark. - Experience with data streaming technologies like Kafka, Kinesis, Flink, and Spark Streaming is a plus. - Strong problem-solving and organizational skills. - Interest in financial services and markets. - Fluent English communication and presentation skills. Benefits - Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers. - Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients. - Be productive with the latest hardware and tools. - Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget. - Learn and experience German culture first hand by joining our free German language classes. - International relocation support is provided if required. - Opportunity to work from abroad. - Benefit from an attractive compensation package and from the company pension scheme. - Monthly contribution of 50% for the ‘Deutschland Jobticket’. - Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker. - Enjoy flexible and discounted sports activities with Urban Sports Club. Company Description Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform. Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Role Description Do you love turning complex marketing data into business-driving insights? Are you passionate about building scalable data pipelines that influence real revenue decisions? We are looking for a Data Engineer to join our growing data team and work at the intersection of data engineering, growth marketing, and decision intelligence. - Design and own scalable, reliable data pipelines using Python, SQL, and modern cloud tools - Lead ingestion and modeling of Meta Ads (Facebook) and marketing platform data - Build high-quality datasets that power campaign performance, attribution, and lead funnel analysis - Partner closely with marketing, growth, and product teams to translate business needs into impactful data solutions - Drive data quality, governance, and observability, ensuring data is trusted and actionable - Influence both technical architecture and business outcomes Qualifications - Strong hands-on expertise in Python and advanced SQL - Experience building ETL/ELT pipelines, working with APIs, and orchestration tools like Airflow - Solid understanding of Meta Ads ecosystem, attribution models, and lead-generation metrics - A mindset focused on ownership, impact, and scalable engineering practices Benefits - Work on high-impact problems in performance marketing and attribution - Own meaningful end-to-end data products, not just pipelines - Collaborate with smart, driven teams that value engineering excellence and accountability - Enjoy great perks – including a day off every 3rd Friday, wellness benefits, and more

Title: Remote Data Engineer I Location:Spartanburg, South Carolina, United States Beaumont Office Reporting and Analytics Days Job ID:P-105850 EX134 widget:Full Time 8 am to 5:30 pm Job Description: Job Requirements Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I! Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI. Why Choose Spartanburg Regional Healthcare System Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise. Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions. Step Into a Role That Builds Trusted Data at Scale Remote Data Engineer I The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics. Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position. What You Bring to the Table Educational Foundation - Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems Professional Experience - Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred) - Strong communication and analytical skills - Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization - Strong understanding of SQL and relational database concepts - Familiarity with Epic applications and Epic database structures Licenses and Certifications - Relevant Epic Data Model or Microsoft development certifications preferred - Certifications may include but are not limited to: - Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer - Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties - AI development including machine learning and analytics platforms - Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools - Microsoft SQL certifications What You Will Learn and Deliver - Assists with build and refresh activities using approved data architecture designs - Supports data ingestion and ETL processes including basic troubleshooting and data quality validation - Collaborates with engineers and developers to learn enterprise data standards and development patterns - Ensures compliance with data governance, security, performance, and privacy standards - Executes assigned project requests exceeding 40 hours under supervision - Contributes to continuous improvement of data reliability and usability - Performs additional duties as assigned Technologies and Work Areas You Will Support - Azure Databricks - Epic Caboodle development internal and external - Cogito Extract Scheduler - Cogito Reporting Workbench SQL - Cogito SQL Metrics - Copilot Studio agent development and management - Data agent development and management - Epic claims ingestion workflows - Microsoft Fabric Data Warehouse, Lakehouse, and ETL development - Power Platform applications - Power BI semantic model development and management - Slicer Dicer data model development and management - Other assigned or extended project requests Take the Next Step If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.