Cloud-Based Data Pipelines Jobs

The Manager, IT Data role leads the Information Technology Team within the Information Technology Division at American Airlines. The position focuses on designing, implementing, and managing a cloud-based enterprise data analytics ecosystem, including data delivery, storage, and machine learning initiatives. Key responsibilities involve leading a team of data engineers to build scalable data pipelines, developing enterprise data strategies, and collaborating with cross-functional leaders to ensure secure and resilient data solutions. The role offers the appeal of working with emerging cloud technologies within a global aviation leader, providing opportunities for professional growth and mentorship. Employees benefit from extensive travel perks, comprehensive health and wellness programs, and a culture that prioritizes inclusion and diversity.

This senior-level architecture role within the Team Innovation department focuses on designing and maintaining scalable, secure data infrastructure to support analytics and automation initiatives. The position involves leading cloud-based pipeline development, serving as the primary technical liaison for vendor delivery engagements, and establishing data governance standards. Key responsibilities include building data models, implementing security protocols like Row-Level Security, and optimizing cloud resource costs. The role appeals to candidates seeking a collaborative culture with a strong emphasis on continuous learning and professional development. It offers flexible work arrangements, including remote options, and supports work-life balance through initiatives like summer Fridays.

This full-time Data Tester role within Accenture Flex focuses on ensuring data quality and reliability for leading organizations through automated testing strategies. The position involves designing and executing tests for data engineering pipelines, ETL workflows, APIs, and cloud platforms using Python, PySpark, and SQL. Key responsibilities include collaborating with data engineers and stakeholders to maintain data integrity, developing automation frameworks, and utilizing tools like Azure Data Factory and CI/CD pipelines. The role offers the appeal of working with emerging technologies on a diverse, global network while providing access to world-class learning resources and benefits. As an Accenture Flex employee, the position is based onsite at the local project location, significantly reducing travel demands.

This Data Engineer role within the United States focuses on designing and maintaining robust batch and real-time data pipelines for a collaborative technology team. Key responsibilities include developing ETL processes to transform data from diverse sources, automating data workflows, and deploying data products on cloud platforms like AWS or Azure. The position also involves partnering with data scientists to operationalize machine learning models while ensuring strict data security and compliance. The role is appealing due to the opportunity to work with advanced technologies such as Databricks and Spark, solve complex data challenges, and contribute to a culture that values innovation and professional growth.

This senior data infrastructure role at 10Beauty, a robotics startup in Burlington, MA, focuses on building the foundational data architecture for the world's first autonomous manicure machines. The position involves designing scalable ETL pipelines to process high-volume operational and machine-generated data, architecting the company's data warehouse, and establishing governance and monitoring systems to support analytics and future AI initiatives. The role offers significant ownership as the first hire in this domain, allowing the engineer to shape data strategy from the ground up while collaborating with robotics and product teams. The opportunity is appealing for its chance to work on cutting-edge autonomous technology in a fast-growing environment with a mission to redefine beauty robotics. The position is based on-site in Burlington.

This Data Engineer role blends traditional database administration with modern data engineering to support enterprise analytics and system integration. The position involves designing and maintaining scalable ETL pipelines using Azure Data Factory, managing the lifecycle of on-prem and cloud databases, and optimizing performance for SQL Server and Oracle environments. Key responsibilities include developing data models for Power BI, implementing data governance frameworks, and ensuring compliance with security standards like NIST and ISO 27001. The role appeals to professionals seeking to work in a regulated environment where they can influence data strategy while collaborating with cross-functional teams. The position requires hybrid work arrangements with occasional travel to company sites and the ability to perform physical tasks such as lifting and climbing stairs.

This senior Data Architect role focuses on designing and maintaining enterprise-scale data architectures specifically for Medicaid claims, eligibility, and care management within the healthcare sector. The position involves establishing data ingestion frameworks, defining governance standards to ensure HIPAA and CMS compliance, and leading cloud-based modernization efforts using platforms like Snowflake or Azure. Key responsibilities include translating complex regulatory requirements into scalable technical solutions, mentoring data engineering teams, and ensuring data quality across high-volume pipelines. The role is appealing for its opportunity to shape critical healthcare infrastructure while working in a fully remote environment with a collaborative culture that values professional growth and technical leadership.

This senior software engineering role focuses on designing and operating the next generation of CLEAR's secure data platform to support its mission of frictionless digital identity. The position involves building scalable batch and streaming pipelines, developing end-to-end data products, and implementing infrastructure-as-code to enable self-service capabilities for analysts and engineers. Key responsibilities include ensuring data reliability, optimizing security and costs, and collaborating with stakeholders to drive architectural decisions. The role appeals to candidates seeking to work with modern technologies like Python, SQL, and cloud services in a mission-driven environment that prioritizes member privacy. The position is based on-site and offers a collaborative culture with comprehensive benefits focused on well-being and professional growth.

This Principal Scientist role within the Translational Medicine team at Nkarta focuses on advancing allogeneic natural killer cell therapies for autoimmune diseases. The position involves leading computational strategies for single-cell and spatial transcriptomics to drive biomarker discovery and mechanism-of-action investigations. Key responsibilities include developing scalable data pipelines, integrating multi-modal genomic datasets, and providing high-impact analyses that directly influence clinical decision-making. The role appeals to candidates seeking a hands-on leadership opportunity in a people-driven culture that values transparency, collaboration, and scientific innovation. Based in South San Francisco, the position offers hybrid work arrangements and the chance to contribute to a mission of making cell therapy more accessible to patients.

This full-time Senior Software Developer/Data Scientist role supports the U.S. Air Force Cyber Capabilities Support Office and Cyber Command within a multi-disciplinary team. The position requires a Secret clearance and involves developing machine learning, statistical, and graph-based algorithms to analyze complex datasets. Key responsibilities include creating data visualizations, building resilient data pipelines in cloud environments, and translating qualitative analysis goals into automated software solutions. The role appeals to candidates seeking to apply advanced analytics to national security missions while collaborating with subject matter experts. Work is conducted on-site with a focus on integrating prototypes into production frameworks for analyst workflows.

The Cyber Intelligence Automation Engineer role involves leading data engineering initiatives for mission-critical projects in defense, intelligence, and healthcare sectors. Key responsibilities include designing and maintaining scalable security data pipelines, overseeing the deployment of SIEM and SOAR platforms, and mentoring a multi-disciplinary team of analysts and developers. The position appeals to professionals seeking to apply advanced technologies like machine learning and AI to solve complex challenges in fraud detection and national security. The work arrangement offers a flexible environment that supports both remote and on-site collaboration, fostering a culture of innovation and professional growth within a fast-paced, agile team.

This full-time Lead Software Engineer role within JPMorgan Chase's Corporate Technology Office focuses on architecting and optimizing large-scale data solutions using Java, Spark, and AWS. The position involves designing robust ETL pipelines with Databricks, building data lake architectures, and leading a team of engineers through technical mentorship and code reviews. Key responsibilities include ensuring system resiliency, implementing observability standards, and driving automation to improve operational stability. The role offers the appeal of leading impactful initiatives across multiple departments while working with cutting-edge cloud technologies and AI tools. It is an on-site position based in the Corporate Technology Office, ideal for professionals seeking to advance their career in a collaborative environment that values technical excellence and innovation.

This senior technical leadership role serves as the Lead Architect for a global MGA, guiding the transition from a support-focused IT model to an innovation-driven, product-centric organization. The position blends hands-on engineering with strategic oversight to build the frameworks and environments necessary for rapid automation and agent-driven solution development. Key responsibilities include designing cloud-native architectures, establishing secure sandbox environments for experimentation, and creating transition pipelines that move prototypes into enterprise-ready production systems. The role requires bridging modern AI and microservice practices with traditional enterprise infrastructure like ERP and data platforms. This position is appealing for its opportunity to shape the company's technical future, mentor a growing team of engineers, and drive the adoption of cutting-edge AI solutions within a collaborative culture that values both pragmatic engineering and disciplined architectural thinking.

The Junior Data Platform Engineer role supports Trulioo's global digital identity verification platform by building and maintaining data pipelines and models. Key responsibilities include assisting with data ingestion and transformation, designing data structures for SQL, NoSQL, and vector databases, and integrating machine learning models for entity resolution and search optimization. This position offers a hybrid work arrangement based in San Diego with three days in the office, providing access to a collaborative culture recognized as a top employer. The role is appealing for its focus on mentorship, exposure to modern data technologies, and the opportunity to contribute to a mission that fosters global trust and economic inclusion.

This full-time Senior AI Data Engineer role at Cortica involves architecting and building a comprehensive data ecosystem for a healthcare company dedicated to improving care for children with neurodevelopmental differences. The position functions as a multi-disciplinary data engineer, owning the complete project lifecycle from gathering stakeholder requirements to designing, testing, and deploying production solutions. Key responsibilities include constructing complex data pipelines using Python and cloud services like AWS and Snowflake, implementing AI-first development workflows to accelerate engineering throughput, and enabling analytics through Power BI and lightweight application development. The role appeals to candidates seeking to work in a mission-driven environment where AI augmentation is the standard operating mode. It offers remote flexibility for residents in specific US states and fosters a culture of diversity, inclusion, and rapid professional growth.

This Senior AI Data Engineer role supports mission-critical classified programs by designing secure, scalable data infrastructure for advanced AI and machine learning workloads. Key responsibilities include building secure data pipelines for batch and real-time processing, implementing ontology-driven data models using semantic technologies like RDF and SPARQL, and ensuring rigorous data governance and security compliance. The position appeals to candidates seeking to solve complex challenges within a culture that values purposeful innovation and offers flexible work schedules. The role requires a blend of technical expertise in Python and distributed processing frameworks alongside experience in highly regulated environments, providing an opportunity to mentor junior engineers and contribute to national security initiatives.

The Data and Analytics Platform Architect role at Motiva leads the evolution of the enterprise data ecosystem, focusing on building scalable solutions on Azure and Databricks. Key responsibilities include designing medallion data pipelines, implementing data mesh principles, and integrating AI and LLM capabilities to enhance platform intelligence. The position requires creating robust analytical data models, optimizing ETL processes, and establishing governance policies for security and compliance. This opportunity appeals to professionals seeking to shape a high-impact data strategy within a major energy company, offering the chance to work with cutting-edge technologies like agentic AI while collaborating with cross-functional teams in a culture that values employee growth and excellence.

The Sr. Director, Risk Adjustment Data & Analytics role is a senior leadership position within Alignment Health's data operations team, dedicated to advancing Medicare Risk Adjustment programs. The individual oversees the end-to-end data ecosystem, ensuring integrity and compliance while leading a multidisciplinary team of analysts and engineers. Key responsibilities include driving analytical insights for executive decision-making, maintaining rigorous data governance for audit readiness, and partnering with finance and clinical stakeholders to optimize revenue and care outcomes. This position appeals to candidates seeking to lead high-impact work in a mission-driven organization that prioritizes senior care. The role offers significant growth opportunities within a fast-growing company and is available in a remote work arrangement.

This senior infrastructure engineering role supports Curative AI's rapid expansion within the healthcare technology sector. The position focuses on designing, building, and maintaining scalable, secure cloud environments that power AI-driven revenue cycle management and clinical operations solutions. Key responsibilities include implementing infrastructure-as-code pipelines, managing AWS or Azure architectures, ensuring HIPAA compliance, and optimizing system performance for high availability. The opportunity appeals to candidates seeking to join a financially stable, early-stage startup with a proven product and significant growth potential. The role offers a hybrid work arrangement based in the Bellevue area, allowing for collaboration within a top-tier engineering team while contributing to a mission that transforms healthcare through intelligent automation.

The Senior Data Platform Solution Architect role involves designing and delivering secure, scalable data and analytics solutions for a global healthcare organization. Key responsibilities include translating complex business needs into practical system designs, overseeing data platform architecture including storage and pipelines, and guiding engineering teams to implement cost-effective solutions that support AI and advanced analytics. This position appeals to candidates seeking to drive meaningful impact by improving health outcomes through robust data infrastructure. The role offers a collaborative environment with opportunities to work with cross-functional teams and stay current on emerging technologies. The position supports a hybrid work arrangement with remote flexibility, requiring a reliable high-speed internet connection for home-based work.

The Associate Director, Data Engineering role within Omnicom Health Group's Digital & Analytics team focuses on developing analytics products and supporting market access strategies for pharmaceutical clients. Key responsibilities include writing code in R or Python, managing SQL databases, building data pipelines on cloud platforms like AWS or Azure, and creating interactive dashboards using tools such as Tableau or Power BI. This position appeals to candidates seeking to deepen their expertise in the pharmaceutical industry while working in a consultative capacity. The role offers significant career growth potential through the company's extensive network, allowing professionals to pivot across different organizations and build diverse skills. The environment emphasizes inclusive team development and the opportunity to work with emerging technologies like AI and LLM models.

This full-time DevOps and Cloud Engineer II role at TEKsystems Global Services focuses on designing and maintaining scalable AWS solutions for enterprise clients. The position involves translating architectural requirements into robust infrastructure using code, developing modular accelerators to streamline project delivery, and integrating security and observability features into cloud environments. Key responsibilities include utilizing infrastructure as code tools like Terraform or CloudFormation, managing CI/CD pipelines with GitHub Actions, and collaborating with architects to modernize client systems. The role appeals to engineers seeking a collaborative culture that values deep relationships and career fulfillment, offering the opportunity to work with cutting-edge technologies including serverless architectures and containers. While the position is based in Baltimore, it is fully remote with occasional travel required for project kickoffs.

The VP, Enterprise Fraud Analytics & Reporting role leads data infrastructure and analytics initiatives within the Credit department at Synchrony. Key responsibilities include stewarding critical fraud and credit data sources, designing SAS-based analytics solutions, and optimizing data pipelines for detection and reporting. The position requires managing production workflows, ensuring data quality, and supporting large-scale platform migrations. This opportunity appeals to candidates seeking to drive strategic impact in a fast-paced financial services environment with a focus on modernizing data ecosystems. The role offers a hybrid work arrangement, allowing flexibility to work from home near a hub while requiring periodic in-person attendance for team meetings and culture events.