What are the responsibilities and job description for the Data Engineer Lead position at FedEx Office?
Job Details
Understanding in depth both the business and technical problems Dataworks aims to solve Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases Interacting 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.
Job Description
The 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. S/he acts as a "universal translator" between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams. The 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. S/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. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. Under minimal supervision, supports the design, build, test and maintain data pipelines at big data scale. Assists with updating data from multiple data sources. Other 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. Assists with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support. Independently implements parsers, validators, transformers, and correlators to reformat, update and enhance the data. Provides recommendations to highly complex problems. Provides guidance to those in less senior positions.
Essential Job Duties & Responsibilities:
Skill/Knowledge Considered a Plus:
Minimum Education
Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience.
Minimum Experience
Five to Seven (5 - 7) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Knowledge, Skills and Abilities
Technical background in computer science, software engineering, database systems, distributed systems Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale Ability 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 Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access Use of agile and develops practices for project and software management including continuous integration and continuous delivery Demonstrated expertise working with some of the following common languages and tools: Spark (Scala and PySpark), HDFS, Kafka and other high-volume data tools SQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupiter and other Python data tools
Preferred Qualifications:
Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
Pay: US pay range: $141,400 - $169,680 annually
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by April 2nd by 5:00 pm EST as this will be the deadline to apply for this role.
FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact
Job Description
The 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. S/he acts as a "universal translator" between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams. The 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. S/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. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. Under minimal supervision, supports the design, build, test and maintain data pipelines at big data scale. Assists with updating data from multiple data sources. Other 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. Assists with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support. Independently implements parsers, validators, transformers, and correlators to reformat, update and enhance the data. Provides recommendations to highly complex problems. Provides guidance to those in less senior positions.
Essential Job Duties & Responsibilities:
- Understanding in depth both the business and technical problems Dataworks aims to solve
- Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
- Inventing new approaches and processes for tackling data intensive problems
- Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
- Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
- Interacting with leaders from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream systems
Skill/Knowledge Considered a Plus:
- Technical background in computer science, software engineering, database/distributed systems
- Deep fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
- Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred
- A highly compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
- Ability 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
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
- Demonstrated ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
- Use of agile and devops practices for project and software management including continuous integration and continuous delivery
- Demonstrated expertise working with some of the following common languages and tools (Any of the below Azure based services may be swapped for equivalent service on other cloud platforms)
- Scalable containerized Java applications on Pivotal Cloud Foundry or Azure Kubernetes Service or Azure Spring Cloud
- Streaming services such Azure Eventhubs, JMS and Kafka.
- Azure Data Factory, Databricks (Spark),
- Azure Data Lake Storage, Azure Synapse.
- Data storage formats such as parquet and delta
- Gated CI/CD with Azure Dev Ops (ADO)
Minimum Education
Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience.
Minimum Experience
Five to Seven (5 - 7) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Knowledge, Skills and Abilities
Technical background in computer science, software engineering, database systems, distributed systems Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale Ability 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 Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access Use of agile and develops practices for project and software management including continuous integration and continuous delivery Demonstrated expertise working with some of the following common languages and tools: Spark (Scala and PySpark), HDFS, Kafka and other high-volume data tools SQL and NoSQL storage tools, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupiter and other Python data tools
Preferred Qualifications:
Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
Pay: US pay range: $141,400 - $169,680 annually
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by April 2nd by 5:00 pm EST as this will be the deadline to apply for this role.
FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $141,400 - $169,680
