Senior Data Engineer Location: Remote Type: Full-Time  **We will only consider candidates who are located in Latin America About Us At tapouts, we believe in the boundless potential of every child. Our mission goes beyond teaching skills; we are dedicated to nurturing the emotional and psychological well-being of the next generation. Imagine being part of a team that transforms the lives of a million children and their families. By joining tapouts, you are not just taking on a job but using your talents for a deeply rewarding cause. About the Role We are looking for a Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that powers our analytics, AI initiatives, and business operations.  This is a hands-on role for someone who thrives in fast-paced environments, thinks like a platform architect, and is passionate about building data systems that matter. Key Responsibilities - Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming). - Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making. - Develop and optimize complex SQL queries, stored procedures, and data models - Write clean, production-grade Python code for data ingestion, transformation, and automation - Build and manage cloud-native data infrastructure on AWS, GCP, or Azure - Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg) - Support ML workflows including feature engineering, model training pipelines, and MLOps integration - Ensure data quality, governance, and lineage tracking across all data assets - Collaborate with data scientists and analysts to deliver trusted, well-documented datasets - Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency - Contribute to the development of internal data platform tools and frameworks - Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD) What We're Looking For - A platform-first mindset — you think beyond individual pipelines and consider ownership, reliability, and long-term maintainability - A data-driven approach — you use metrics to measure pipeline health and continuously improve - Strong communication skills — you can collaborate with technical and non-technical stakeholders - Comfort working in ambiguous, fast-moving environments and bringing structure to chaos - A passion for continuous learning — you stay current with the latest tools and trends in data engineering

About the Role: Location: Remote (US) + Travel to client sites up to 40% | Department: Private Cloud, Data & AI | Reports To: VP, Data & AI | As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Platforms, you will serve as the hands-on technical lead driving enterprise-scale data transformation engagements. You will own the end-to-end execution of complex data migrations, multi-system consolidations, and platform modernization initiatives for Global Enterprises and Industry Leaders navigating critical technology inflection points. Operating at the convergence of cloud architecture, data engineering, and direct client partnership, you will translate the capabilities embedded in our migration acceleration platform into production-grade, client-specific solutions. This role demands deep proficiency across legacy enterprise systems such as SAP ECC, Oracle on-premise, modern cloud data platforms, and AI-driven transformation tooling. You will function as both solution architect and hands-on implementer - owning migration strategy design, building automated data pipelines, and deploying ontology-driven integration frameworks that unify fragmented application landscapes into cohesive, consolidated business data models. Key Responsibilities: - - Migration Execution & Cloud Architecture: Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps. - Data Pipeline Engineering & Transformation: Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading. - Ontology Layer Development & Schema Automation: Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures. - Application & Workflow Delivery: Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking. - Multi-System Consolidation & Master Data Management: Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance. - Client Engagement, Discovery & Modernization Advisory: Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps. - Knowledge Transfer, Enablement & IP Development: Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology. - Leadership & Executive Engagement: Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight; translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications; navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements; mentor junior engineers, cultivate technical capability within delivery teams, and foster a culture of knowledge sharing and continuous improvement. Required Qualifications: - - 7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments - 3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes - Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders - Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector - Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution - Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript - Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory) - Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC) - Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations - Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake) - Familiarity with knowledge graph construction, semantic modeling, ontology frameworks (RDF, OWL), or platforms such as Neo4j, AI Foundry, or Stardog - Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock) - Experience with low-code/no-code application platforms for rapid solution delivery (AI Foundry, Mendix, OutSystems, PowerApps) Preferred Qualifications: - - Certifications: AI Foundry (Data Engineer, Ontologist, or Application Developer), SAP Certified Technology Associate/Professional, cloud architecture or data engineering credentials (AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer), or data governance/MDM certifications (CDMP, DAMA) - Advanced Technical Skills: Deep, production-level knowledge of real-time event streaming platforms (Kafka, Kinesis, Event Hubs, Pub/Sub); demonstrated expertise with enterprise MDM platforms (Informatica MDM, SAP MDG, Profisee, Reltio); hands-on proficiency in API development, microservices architecture, and service mesh patterns; strong command of CI/CD pipelines and infrastructure-as-code tooling (Jenkins, GitLab CI, Azure DevOps, Terraform, ArgoCD); comprehensive understanding of data security, privacy, and regulatory compliance frameworks (GDPR, HIPAA, SOC 2, CCPA, FedRAMP) - Domain Knowledge: Working understanding of financial close processes, supply chain operations, revenue cycle management, or procurement workflows; experience with industry-specific data standards (EDI, HL7, FHIR, SWIFT, XBRL); familiarity with process mining tools (Celonis, UiPath Process Mining, Signavio) and data observability, cataloging, and lineage platforms (Monte Carlo, Collibra, Alation, Apache Atlas) #LI-Remote #LI-AS Our compensation reflects the cost of labor across several geographic markets. The base pay for this position ranges from $164,851.50/year in our lowest geographic market up to 274,752.50 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Overview Data Engineering as a function sets the foundation to successful data intake, data management and data transformation to help drive quality and timely processing. We are searching for someone who can develop tools and techniques for improving process efficiencies and query performance. To be successful in this role you must have experience with the Healthcare or Insurance space in a Data Warehouse operations organization. Responsibilities - Data Mapping and Programming. - Work as a team member in creation and maintenance of ETL scripts, tools, queries and applications used for healthcare data management, data validation, statistical report generation, and program validation. - Work as a team member to develop tools and techniques for improving process efficiencies and query performance. - Program per data transformation specifications to convert source data to be loaded into target data warehouse tables using T-SQL and other Data Integration/ETL tools. - Review & test the data to ensure accuracy & validity prior to uploading the data to the warehouse. - Perform data analysis, data mining and investigations and identify root cause of issues with SQL queries. - Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage and servers. Provide off hours On-Call support to resolve production issues when necessary - Complete all responsibilities as outlined in the annual performance review and/or goal setting. - Complete all special projects and other duties as assigned. - Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications - Bachelor’s degree in relevant field such as Computer Science, Engineering, a related field, or equivalent experience. - 2+ years’ experience with data aggregation, standardization, linking, quality check mechanisms, and reporting. - 2+ years’ experience within the Healthcare or Insurance space in a Data Warehouse operations organization. - Strong knowledge of healthcare enrollment, medical claims, and drug claims data required. - Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred. - Experience with RDBMS (SQL, Oracle, SQL, Vertica, etc.) and using T-SQL or other data integration/ETL tools. Understanding of new technologies like HDFS and NOSQL are a plus. - Experience in the Analysis, design and development of solutions and strategies for creating extraction, transformation, loading (ETL) and real-time applications. - Experience with ticketing and documentation tools such as Jira. - Strong knowledge of coding and ability to follow best practices while developing and deploying codes. - Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines. - Ability to analyze data with a high level of detailed accuracy and identify root causes of issues using queries. - Ability to work well independently or in a team environment. - Proficient in Microsoft Office Suite, including PowerPoint, Word, Excel, Outlook and Project. Mental Requirements: - Exceptional communication, problem-solving, and leadership skills. - Advanced analysis, problem-resolution, judgment, and decision-making capabilities. - Ability to prioritize and execute complex tasks in a high-pressure environment independently. - Strong results orientation, initiative, attention to detail, and customer service focus. - Expert time management skills, balancing daily operations, projects, and mentorship. - Ability to independently prioritize, re-prioritize, and manage multiple complex tasks. Physical Requirements and Working Conditions: - Remaining in a stationary position, often standing or sitting for prolonged periods. - Repeating motions that may include the wrists, hands and/or fingers. - Must be able to provide high-speed internet access / connectivity and office setup and maintenance. - Must be able to provide a dedicated, secure work area. - No adverse environmental conditions expected. Base compensation ranges from $92,000 to $118,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Date of Posting: xx/xx/2026. We anticipate that the application window will close on xx/xx/xxxx, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. Since this job will be based remotely, all interviews will be conducted virtually. #LI-REMOTE #LI-AK1 #junior

About Kinetic Backed by Nationwide, Kinetic is a tech-first Managing General Agent (MGA) focused on leveraging AI-driven technology and expert human support to transform workers' compensation claims management. By utilizing data to create actionable steps from the moment of injury through closure, Kinetic works to reduce workplace injuries, streamline the claims process, and lower premiums for midsize and large businesses in safety-critical industries like parcel delivery, manufacturing, and wholesale/warehousing operations. We also work directly with enterprise clients. We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you. Kinetic was named to Business Insurance's Best Place to Work in Insurance 2025. The role: Reporting to the VP of Engineering, this role will lead our Data team which is responsible for developing and maintaining our production data lake and our LLM-based AI solutions that serve as the foundation for Kinetic’s industry leading workers compensation insurance products. You will be hands-on, contributing directly to the design, development, and deployment of new data integrations and Agentic AI solutions in a Python-focused and cloud-native stack. You will also lead and manage a small team of engineers ensuring high performance, working alongside a dedicated Product Manager. This role is extremely cross-functional, and provides the opportunity for deep exposure to and support of business units across the organization. We’re looking for someone who enjoys tackling complex, real-world challenges, thrives in a fast-paced environment, and is eager to learn and adapt as technologies evolve. You’ll contribute to everything from core infrastructure to experimental features, helping deliver high-impact solutions that reduce workplace injuries and improve operational outcomes for our customers. A strong engineering foundation, curiosity, and a collaborative mindset are key to success in this role. Responsibilities: - Own the architectural direction of Kinetic's data platform and AI products, operating as a player-coach who balances rapid experimentation with production reliability while contributing significant hands-on code. - Design, develop, and implement robust, cloud-native data and AI solutions, writing clean, well-tested, and maintainable code in a team environment. - Participate in architecture and code reviews to ensure high-quality, scalable systems, and implement best practices for security, reliability, and observability. - Lead root-cause analysis of complex data and AI system issues, driving durable fixes and continuous improvement. Basic Qualifications: - Bachelor's degree in Computer Science or a related field and at least 5 years of relevant hands-on software engineering experience. - At least 2 years experience leading projects and mentoring engineers, with the ability to manage and grow a small team. - Deep experience building and operating Python-based data pipelines and production-grade cloud-native systems (CI/CD, monitoring, long-term maintainability). - The working language at Kinetic is English. Preferred Qualifications: - Experience developing and deploying AI features in production software, especially those leveraging LLMs or agentic AI patterns. - Experience with AWS, Apache Airflow, and Terraform. - Strong testing and documentation practices. - Experience with production security practices in the cloud including building systems that meet enterprise security standards and industry best practices. - Experience operating in early-stage or high-growth startup environments where pragmatism and speed matter.