{"id":4138304,"url":"https://alion.io/job/fedex-dataworks-data-engineer-lead","title":"Data Engineer Lead","company":{"id":4536024,"name":"FedEx Dataworks","domain":"fedexdataworks.com","url":"https://alion.io/company/fedex-dataworks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9025,"max":15477,"currency":"USD","period":"month","gross":null,"usd_annual":185724},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-12T03:55:53Z","employer_posted_date":null,"last_verified_at":"2026-11-12T03:55:53Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"FedEx Dataworks is hiring a Data Engineer Lead to build and scale data engineering platforms, pipelines, and standards. The role collaborates across business, technology, and data teams to deliver data products, support large-scale deployments, and enable data-driven decisions.\n\nResponsibilities\nThe Data Engineer Lead plays a pivotal role within Dataworks, focused on creating and driving engineering innovation within Dataworks, helping define and build the Dataworks organization and facilitate the delivery of key business initiatives\nS/he acts as a “universal translator” between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams\nThe Data Engineer Lead will contribute to the creation of and adherence to technical standards for data engineering, including the selection and refinements of foundational technical components\nS/he will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing\nDay-to-day, s/he will be deeply involved in code reviews and large-scale deployments\nUnder minimal supervision, supports the design, build, test and maintain data pipelines at big data scale\nAssists with updating data from multiple data sources\nOther functionalities under close supervision are to work on batch processing of collected data and match its format to the stored data, make sure that the data is ready to be processed and analyzed\nAssists with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support\nIndependently implements parsers, validators, transformers, and correlators to reformat, update and enhance the data\nProvides recommendations to highly complex problems\nProvides guidance to those in less senior positions\nDesign and implement data pipelines to collect, process, and store data efficiently\nEnsure data quality, integrity, and accessibility\nCreate data models to support business analytics and reporting\nWork with data scientists, analysts, and other stakeholders to understand data needs, and design schemas\nBuild and manage ETL (Extract, Transform, Load) processes for data integration and automate data ingestion and transformation tasks\nAdminister and optimize databases (both SQL and NoSQL). Monitor database performance and troubleshoot issues\nCollaborate with software engineers to integrate data systems with applications\nUtilize big data tools for processing large datasets, such as Hadoop or Spark\nImplement distributed systems for real-time data processing\nEnsure data governance and security through compliance with data governance policies and data security standards\nImplement data access controls and encryption techniques\nDocument data architecture, pipelines, and processes\nProvide reports and insights based on data analysis\nUnderstanding in depth both the business and technical problems Dataworks aims to solve\nBuilding tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions\nScaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique\nDelivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines\nCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases\nInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems\n\nSkills\nWorking knowledge of DataBricks, BigQuery, and GCP\nBachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related quantitative field — or equivalent formal training and professional experience\nFive to Seven (5 - 7) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics\nA related advanced degree may offset the related experience requirements\nTechnical background in computer science, software engineering, database systems, distributed systems\nFluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties\nA compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value\nDirect experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale\nAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined\nDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value\nAn ‘engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact\nComfort with working with distributed teams on code-based deliverables, using version control systems and code reviews\nAbility to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access\nUse of agile and devops practices for project and software management including continuous integration and continuous delivery\nDemonstrated expertise working with some of the following common languages and tools: Spark (Scala and PySpark), HDFS, Kafka and other high-volume data tools\nSQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch\nPandas, Scikit-Learn, Matplotlib, TensorFlow, Jupiter and other Python data tools\nExtensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines\nExtensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems\nExperience providing leadership in a general planning or consulting setting\nExperience as a leader or a senior member of multi-function project teams\nStrong oral and written communication skills\nDetailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred\n\nCompany Overview\nFedEx Dataworks turns the movement of goods into the movement of intelligence. It was founded in undefined, and is headquartered in , with a workforce of 201-500 employees. Its website is https://www.fedexdataworks.com.\n\nCompany H1B Sponsorship\nFedEx Dataworks has a track record of offering H1B sponsorships, with 25 in 2026, 215 in 2025, 92 in 2024, 51 in 2023, 47 in 2022. 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