2027 Summer Intern: Technology Data & Analytics, Data Engineer & Data Science PepsiCo Inc2027 Summer Intern: Technology Data & Analytics, Data Engineer & Data SciencePlano, TX$21.09–$44.40 / hourTechnical Skills Artificial neural networks Azure Big Data Chatbots Data architectures Hadoop MATLAB PowerBI Python R Spark SQL Tableau Take note: While final work placement will be in one of the following two locations, no specific location is guaranteed pre-offer. We will enhance the human experience and maximize value through the power of digital solutions, driving a deeply interconnected internal ecosystem of people, processes, systems, and data to engage seamlessly with consumers, customers, employees, partners and communities.
NewData Engineer II / AWS Data Engineer 3Core Systems IncData Engineer II / AWS Data EngineerDallas, TXInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Maintain internal reporting platforms/tools, including troubleshooting and development. Job Title: Data Engineer II / AWS Data Engineer Location: Miami, Florida or Irving, Texas (Hybrid) Duration: Contract to Hire Manager: Finance and land domain Analytics engineer in practice What the person will do.
Sr. Data Engineer - Data Platform and Data Engineering - Remote US Triumph Financial ServicesSr. Data Engineer - Data Platform and Data Engineering - Remote USDallas, TexasRemoteYou’ll spend your day solving interesting data challenges, building scalable pipelines, and partnering with teams across the organization to turn business needs into effective data solutions. You’ll combine hands-on technical work with collaboration and strategic thinking, helping teams get the reliable, accessible data they need while guiding best practices across the data engineering team.
vsoft@test Data Engineer / Big Data ML Engineer V-Soft Consulting Group, Incvsoft@test Data Engineer / Big Data ML EngineerPlano, TXDesign, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency. Collaborate with Agile teams to architect end-to-end data solutions — from ingestion and orchestration through to event streaming and downstream delivery.
Slalom Flex Project Based- Data Vault Data Engineer Slalom IncSlalom Flex Project Based- Data Vault Data EngineerDallas, TXRemote$80–$100 / hourDatabricks, dbt Cloud, SQL, data pipelines, ETL/ELT, data modeling, cloud data platforms, Qlik Replicate, CDC, consulting, and stakeholder communication. The ideal candidate has strong hands-on experience with Databricks and dbt Cloud, can build reliable and scalable data pipelines, and is comfortable operating in a fast-paced, client-facing environment.
NewData Engineer - Data Warehouse eCom Solutions IncData Engineer - Data WarehousePlano, TXStrong experience in Snowflake, ETL/ELT development, AWS and Azure cloud platforms, big data technologies (Spark, Hadoop, PySpark), data warehousing and databases, Python/SQL programming, and data security/governance. This role requires strong analytical and problem-solving skills to ensure the efficient and effective management of large-scale data systems
NewData Engineer, Forward Deployed Engineer Kyndryl IncData Engineer, Forward Deployed EngineerFrisco, TX$143,640–$273,000 / yearOperating as a technical anchor, you will design, deploy, and refine the high-performance data infrastructure, pipelines, and context engines that fuel next-generation artificial intelligence, machine learning, and autonomous workflows in live customer environments. You will take true ownership of outcomes, moving quickly from scoping and building initial proof-of-concepts to deploying hardened, production-ready systems that generate immediate business value for our customers.
Data Engineer Developer Lead (Google Cloud & Data Studio) Infosys LtdData Engineer Developer Lead (Google Cloud & Data Studio)Dallas, TX2250587No5439237910.00.009/03/2026Data Engineer Developer Lead (Google Cloud & Data Studio)In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided. Technology Lead - USTechnology|Cloud Platform|GCP Core Services Technology|Reporting, Analytics & Visualization|Google Visualization API Technology|Database|Data Modeling Technology|Agentic AI|Agent Engineering.
Analytics Platform Engineer / Data Engineer Artech LLCAnalytics Platform Engineer / Data EngineerIrving, TX$54.25–$68.55 / hourAs an Analytics Platform Engineer supporting Azure & AWS Databricks from a DevOps perspective requires a hybrid skill set spanning primarily cloud infrastructure management and deployment , automation and CI/CD practices and it is helpful if they a background or exposure to ELT and data engineering and Database Administration Concepts etc. Core Responsibilities: Implement CI/CD Pipelines: Design and maintain continuous integration and continuous deployment pipelines using tools like Gitlab, Azure DevOps or GitHub Actions for deploying data pipelines and infrastructure changes.
NewSenior Data Engineer With Data Analytics US BankSenior Data Engineer With Data AnalyticsIrving, TX$111,605–$131,300 / yearBecause this role operates in a small-team environment, the candidate must be comfortable wearing multiple hats and taking practical ownership across all levels of the work: business analysis, technical analysis, database development, report development, testing, release coordination, troubleshooting, and production support. U.S. Bank is seeking a Senior Data Analytics / Software Developer to help deliver modern, secure, scalable analytics and reporting solutions using Azure, SQL Server, Power BI, OLAP modeling, and enterprise database reporting practices in an Agile, AI-enabled technology environment.
Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - Dallas The Goldman Sachs Group IncSoftware Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - DallasDallas, TXIn data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. We''re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
NewPrincipal Data Engineer - Global Cybersecurity Data & Analytics Liberty Mutual Holding Company IncPrincipal Data Engineer - Global Cybersecurity Data & AnalyticsPlano, TXActively uses AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data. Our Global Cybersecurity Data and Analytics team is tasked with gathering, processing, and analyzing data to provide meaningful insights for informed decision-making, strategic planning, and operational improvements.
NewSenior Data Engineer - Physical AI Platform, Data Engineering CaterpillarSenior Data Engineer - Physical AI Platform, Data EngineeringIrving, TX$112,710–$183,140 / yearSoftware Development Life Cycle: Experience leading the delivery of data engineering solutions in an Agile environment by guiding work through the full development lifecycle, translating requirements into technical solutions, and ensuring projects are delivered with quality, reliability, and business value. Software Product Technical Knowledge: Ability to apply knowledge of AWS services and data engineering tools to define requirements, support testing and deployment activities, troubleshoot issues, and ensure data solutions are configured, implemented, and operated effectively across environments.
IT Engineer Data Engineer The Charles Schwab CorpIT Engineer Data EngineerSouthlake, TXSupport reporting activities and accelerated production releases for new product launches, including post-release validations and collaboration with delivery teams. This role requires daily business engagement, oversight of reporting activities, and expertise in cloud migration and production support.
Data Engineer - Data Integration (* Ab Initio) DCM INFOTECH LIMITEDData Engineer - Data Integration (* Ab Initio)Dallas, TXImplement continuous flows, web services, and message-based integration with Ab Initio. Design, develop, and deploy ETL processes using Ab Initio GDE.
Principal Software Engineer / Data Engineer (Onsite) RTX CorpPrincipal Software Engineer / Data Engineer (Onsite)Richardson, TXThe Data Engineer will be a key contributor to our program, responsible for designing semantic data models, ontologies, and knowledge graphs that serve as the connective tissue between raw operational data and AI-ready intelligence. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Sr. Systems Engineer (AWS Data Engineer) Science Applications International CorpSr. Systems Engineer (AWS Data Engineer)TXRemote$120,001–$160,000 / yearJob Description: Evaluate and recommend the optimal AWS-native data storage and query architecture for our XML object store data - assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability. This role is central to our evolution from an MSSQL XML object store toward a scalable, cloud-native AWS data architecture - one that enables business stakeholders and analysts to run performant, SQL-based reports and queries against our healthcare data seamlessly.
Software Engineer III - Data Engineer JPMorgan Chase Bank, N.A.Software Engineer III - Data EngineerPlano, TXFull timeImplement modern data engineering solutions using Databricks, Apache Spark, PySpark, Delta Lake, Lakeflow, and declarative pipeline patterns, ensuring scalability, resiliency, and maintainability. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Software Engineer III - Data Engineer JPMorgan Chase & CoSoftware Engineer III - Data EngineerPlano, TXImplement modern data engineering solutions using Databricks, Apache Spark, PySpark, Delta Lake, Lakeflow, and declarative pipeline patterns, ensuring scalability, resiliency, and maintainability. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Software Engineer III - Data Engineer/Applied AI (LLMs) JPMorgan Chase Bank, N.A.Software Engineer III - Data Engineer/Applied AI (LLMs)Plano, TXFull timeAs a Data Engineering & Applied AI Software Engineer III at JPMorganChase within the Asset & Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.