Data Engineer Jobs

This Engineer or Senior Engineer role within American Airlines' IT Data domain focuses on designing and implementing scalable data solutions to drive business insights and operational reliability. Key responsibilities include building batch and streaming data pipelines using Microsoft Azure services, managing data migration and governance, and leading DevOps practices for cloud infrastructure. The position offers the opportunity to mentor team members, establish coding standards, and work on high-impact projects involving machine learning and AI. The role is appealing due to the company's commitment to diversity and inclusion, access to extensive travel perks, and a supportive culture that encourages professional growth and work-life balance.

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 remote contract role supports clinical trial data operations within the life sciences sector. The Data Engineer programs SAS edit checks and macros, designs robust ETL and ELT pipelines for structured and unstructured data, and ensures high data quality across analytics and AI/ML model workflows. Key responsibilities include developing study documentation, troubleshooting database issues, and collaborating with biostatistics and R&D stakeholders. The position offers the appeal of working with advanced technologies like Python and Power BI in a flexible, fully remote environment while contributing to meaningful healthcare outcomes.

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 Fabric Engineer role at KLA focuses on designing and managing end-to-end solutions within the Palantir Foundry platform to support the global semiconductor manufacturing ecosystem. The position involves building scalable data pipelines, developing ontologies to model business entities, and integrating Foundry with enterprise systems like SAP and Snowflake using Python and SQL. Key responsibilities include ensuring data governance, monitoring pipeline health, and collaborating with cross-functional teams to translate requirements into operational analytics. The role is appealing due to the opportunity to solve complex problems in a highly innovative environment where 15% of sales are reinvested in R&D. It offers a chance to work with expert teams of physicists and engineers on cutting-edge technology, with a primary location in Ann Arbor, Michigan.

This entry-level position is part of SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for data analysts and engineers. The role involves providing interview-focused coaching and technical training to recent graduates and career changers, emphasizing hands-on project development and end-to-end system design skills. Key responsibilities include preparing candidates for technical rounds through practical exercises in data structures, API design, and cloud deployment while offering support for visa processing and resume optimization. The opportunity is appealing for its targeted approach to transforming candidates from 'almost hired' to offer-ready, leveraging a track record of placing professionals with major technology and finance firms. The program operates remotely with a focus on high-demand technology stacks including Python, Java, and machine learning.

This entry-level remote role targets recent graduates and career switchers seeking to launch a career in data science or engineering. The position involves developing skills in Python, Java, and machine learning while working on real-world projects for major clients. Key responsibilities include building data pipelines, analyzing datasets, and collaborating with engineering teams to deploy scalable solutions. The opportunity is appealing for candidates with limited experience, as it provides a structured pathway to gain hands-on industry exposure and rebuild professional momentum. The role supports candidates facing career gaps or those needing assistance with visa extensions, offering a collaborative environment focused on closing the gap between academic knowledge and employer expectations.

This entry-level position targets recent graduates and career switchers seeking to launch full-time careers as Data Scientists or Engineers within large enterprise organizations. The role focuses on bridging the gap between academic knowledge and industry requirements by providing training in essential tech stacks such as Python, Java, and machine learning. Key responsibilities include developing hands-on projects, refining technical skills to meet current market demands, and preparing candidates for engineering interviews. The opportunity is appealing due to its structured support system designed to help individuals with limited experience or career gaps secure long-term employment at major tech leaders. The position is offered in a remote work arrangement.

This listing describes a Job Placement Program rather than a specific open position. The program assists candidates in securing junior roles such as Data Scientist, Data Engineer, or Software Developer within major technology companies. Participants engage in structured skill-building to master real-world tools like version control, APIs, and cloud deployment, while receiving support with resume positioning and interview preparation. The initiative is designed for recent graduates, career switchers, and professionals seeking to bridge the gap between academic knowledge and employer expectations. It offers a guided pathway to employment with a focus on building job-ready portfolios and confidence in technical workflows. The program also provides guidance on visa processes for international candidates and connects qualified individuals directly with hiring partners.

The Senior Data Engineer role within Koch Industries' Data Management, Enablement and Transformation team focuses on designing and implementing robust data pipelines to support tax and finance initiatives. Key responsibilities include writing efficient SQL and Python code to optimize data flow, collaborating with architects on scalable solutions, and serving as a subject matter expert across cross-functional teams. The position emphasizes adherence to SDLC and Agile frameworks while ensuring data governance and security. This opportunity appeals to candidates seeking an entrepreneurial culture that values innovation and individual contribution, offering flexibility with onsite presence in Wichita, Plano, or Atlanta. The role provides a chance to work with modern cloud technologies and contribute to a global organization dedicated to creating value across diverse industries.

The Senior Data Engineer role within Koch Industries' Data Management, Enablement and Transformation team focuses on designing and implementing robust data pipelines to support tax and finance initiatives. Key responsibilities include writing efficient SQL and Python code to optimize data flow, collaborating with architects on scalable solutions, and serving as a subject matter expert across cross-functional teams. The position emphasizes adherence to SDLC and Agile frameworks while ensuring data governance and security. This opportunity appeals to candidates seeking an entrepreneurial culture that values innovation and individual contribution. The role offers onsite presence with flexibility in Wichita, Kansas, Plano, Texas, or Atlanta, Georgia, providing a chance to work on transformative technology projects within a diverse, global organization.

This senior AI Engineer role focuses on designing and deploying intelligent conversational solutions within a hybrid team based in Charlotte, North Carolina. The position requires utilizing Azure AI Studio, Databricks, and VS Code to build AI agents, manage MLOps pipelines, and integrate services into web applications using Python frameworks. Key responsibilities include developing secure REST endpoints, optimizing model performance, and ensuring adherence to data privacy standards. The role appeals to candidates seeking to work with cutting-edge generative AI technologies and collaborate across cross-functional teams. The hybrid work arrangement requires onsite presence two to three days per week, offering a balance of remote flexibility and in-person collaboration.

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 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 role is a technical support position within the IT department, designed to assist end-users with hardware, software, and network issues. Key responsibilities include troubleshooting system problems, providing first-line help desk support, maintaining hardware and software inventory, and coordinating software releases. The position offers an opportunity to gain broad experience across multiple technology stacks while working in a collaborative environment focused on resolving complex technical challenges. The role supports both internal staff and external clients, ensuring smooth daily operations through effective system maintenance and user training.

This entry-level role targets recent graduates and career switchers seeking positions as Junior Data Scientists or Data Engineers within the technology sector. The position involves applying skills in Python, Java, and machine learning to build data solutions for various clients. The opportunity is designed to bridge the gap between academic training and industry requirements, offering candidates hands-on experience with modern tech stacks. The program appeals to those with career gaps or limited work history by providing a structured pathway to full-time employment at major tech firms. Support is available for visa-related processes such as STEM extensions and H-1B filings. The arrangement typically involves placement with client organizations, facilitating professional growth and career momentum.

This role is a junior-level position within the Data Science and Engineering track at SynergisticIT, designed to bridge the gap between academic learning and real-world hiring expectations. The position focuses on developing hands-on experience through end-to-end project work, including API design, system architecture, and cloud deployment, while preparing candidates for technical interviews. It appeals to recent graduates and professionals seeking to refine their problem-solving skills and master current technology stacks. The opportunity offers a structured path to employment with top-tier companies and includes support for career advancement and visa processing where applicable. The work arrangement is remote.

This remote entry-level position targets recent graduates and career switchers seeking roles as Junior Data Scientists or Engineers. The role involves developing data pipelines, building machine learning models, and analyzing datasets to support business decisions for technology clients. It is designed for individuals with limited experience who need to bridge the gap between academic knowledge and practical industry skills. The opportunity appeals to candidates looking to launch a career in tech with exposure to modern tools and real-world projects. The position offers full-time remote work and includes support for visa-related processes such as STEM extensions and H-1B filings for eligible candidates.

This role serves as a technical support position focused on resolving hardware, software, and network issues for end users. Key responsibilities include performing first-line troubleshooting, maintaining system inventory, configuring hardware and software, and providing user orientation on operations. The position also involves developing applications and coordinating solutions for system-level problems. The role appeals to candidates seeking hands-on experience in IT support and system maintenance within a collaborative environment. The work arrangement is described as remote, offering flexibility for professionals looking to build foundational technical skills while supporting internal operations.

This role is a hybrid position within SynergisticIT that combines junior data science and engineering tasks with Java and MERN stack development responsibilities. The position focuses on building scalable applications, designing APIs, and managing database systems while providing technical support for hardware and software issues. Key duties include troubleshooting network problems, maintaining system inventory, and assisting with software releases and user orientation. The opportunity appeals to recent graduates or career changers seeking to bridge the gap between academic learning and real-world industry expectations. It offers a collaborative environment focused on mastering high-demand technologies like machine learning, cloud deployment, and full-stack development. The role is available remotely and is designed for candidates aiming to secure positions at major technology firms through practical, project-based experience.

This role is a career coaching and placement program designed for junior data analysts, engineers, and scientists seeking full-time employment in the tech sector. The program focuses on bridging the gap between technical knowledge and interview performance by providing structured mock interviews, project narrative refinement, and technical foundation strengthening. Key responsibilities of the service include simulating real-world technical screens, offering feedback on problem-solving under constraints, and guiding candidates through behavioral and system design rounds. The opportunity appeals to professionals who struggle to convert interviews into offers, providing a supportive environment to build confidence and demonstrate value to employers. The program operates remotely and includes assistance with visa processes where applicable, aiming to transform job seekers into employer-ready candidates through targeted preparation and practice.

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 position is part of a Job Placement Program designed to prepare candidates for entry-level roles in Java development, data science, and data engineering. The program focuses on bridging the gap between academic knowledge and employer expectations through structured skill-building, real-world project development, and interview readiness coaching. Key responsibilities include refining resume positioning, mastering industry tools like version control and APIs, and demonstrating hands-on ability in clean coding and debugging workflows. The opportunity appeals to recent graduates, career switchers, and professionals seeking to re-enter the workforce by providing a clear pathway to employment with major technology and financial brands. Participants receive ongoing support throughout the job search process, including guidance on STEM extensions and visa filing assistance for qualified international candidates.

This entry-level opportunity targets recent Computer Science, IT, or Data Science graduates seeking to transition into full-time roles as Data Engineers, Data Scientists, or Backend Developers. The position focuses on building production-ready skills through a structured pathway that emphasizes real-world projects, modern tech stacks like Java and Python, and interview preparation. Key responsibilities include developing scalable software solutions, managing data pipelines, and demonstrating end-to-end system capabilities to meet client needs. The role is appealing due to its placement-focused approach designed to bridge the gap between academic theory and industry demands, offering candidates a clear roadmap to employment with major organizations. The position is fully remote, providing flexibility for new graduates to launch their careers in high-demand technology sectors.

This Solutions Architect role focuses on data engineering within a global leader in AI and cloud services. The position involves designing and implementing secure, scalable end-to-end data solutions for enterprise clients while translating business needs into technical roadmaps. Key responsibilities include leading architecture discussions, conducting proof-of-concepts, and mentoring engineers using modern tools like Snowflake, Databricks, and AWS. The opportunity is appealing due to the company's rapid growth, award-winning collaborative culture, and commitment to professional development through advanced certifications. The role is remote-first with occasional travel for customer engagements, offering a chance to work alongside top talent on cutting-edge data challenges.