UPS
Manager, Data Engineering - Remote Position
UPS, Secaucus, New Jersey, us, 07094
Before you apply to a job, select your language preference from the options available at the top right of this page.Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.Job Description:The Manager of Data Engineering (Lead Data Engineer) role is organizationally under Finance & Accounting, within the Decision Support Tower. This role will report into the Business Intelligence & Advanced Analytics space. The ideal candidate will possess a robust background in data engineering, showcasing expertise in cloud technologies, data architecture, data modeling, data integration, data pipeline development, and data governance.This position leads the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science, advanced analytics, machine learning, and AI practices.This position leads and participates in the integration of data from various data sources, both internal and external. This position performs extract, transform, load (ETL), data conversions, data cleaning, data enrichment, data governance, and data quality measures.This position will execute on data analytics projects and manage projects within the department, supporting Leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders.This position contributes to and supports synthesizing disparate data sources to create reusable and reproducible data assets. This position also supports the data science community working through analytical model feature tuning.RESPONSIBILITIESData Engineering Lead:
The data engineer's role is to design, build, maintain, and troubleshoot an organization's data architecture. Responsibilities include: data collection, data storage, data security, data pipelines, data algorithms, data validation, data analysis, and data governance.Data Development Lifecycle:
Lead the development, design, and integration of data engineering projects and guide the team to build solutions by leveraging software/application solutions used for statistical modeling and analysis, data warehousing and cloud solutions, and building data pipelines.Data Warehousing Lead:
Responsible for the management of the cloud-based data warehouse, including data governance and data quality measures.Project Leadership:
Lead project efforts with technology solutions and perform proof of concept (POC) analysis. Recommend analytic reporting tools/technologies and lead the adoption of emerging technology products and tools.Guide the team to organize the data for reporting, analytics, and data mining.Guide the team in building Data APIs to enable data scientists and business intelligence analysts to query the data.Conduct code development and reviews in programming languages used for statistical analysis and modeling, including SQL, Google BigQuery SQL, Python, R, and VS Code.QUALIFICATIONSMinimum 3-5 years of experience in hands-on execution of data transformation programs, showcasing expertise in navigating data landscapes, implementing innovative solutions, and driving tangible business outcomes.Strong understanding of data life cycle stages - data collection, transformation, analysis, secure data storage, and providing data accessibility.Advanced experience in data environments to ensure scalability for data throughput, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, data security, data regulations, and compliance.2-4 years of experience in developing and implementing both tactical and strategic solutions, demonstrating the ability to address immediate needs while contributing to long-term organizational goals.Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Platform, Google BigQuery, Vertex AI, Gemini AI) and all data life cycle stages.Coding expertise in SQL, BigQuery SQL, Python, and R.A Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.Familiarity with data modeling and data visualization tools (Power BI, SAS, Looker, Alteryx, and similar tools).Understanding of machine learning algorithms that assist data scientists in making predictions based on current and historical data.Preferred Qualifications:1-2 years of management experience, leading teams and projects, both directly and indirectly.Additional Information:Job Grade: 30GUPS will not provide sponsorship for this position.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,600/year to $189,600/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, education/training, and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position.Hired applicants may be eligible for Medical/prescription drug coverage, Dental & Vision Benefits, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, Educational Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick/Family and Medical Leave time as required by law, Discounted Employee Stock Purchase Program.Employee Type:
PermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.Other Criteria:UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.Basic Qualifications:Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.
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The data engineer's role is to design, build, maintain, and troubleshoot an organization's data architecture. Responsibilities include: data collection, data storage, data security, data pipelines, data algorithms, data validation, data analysis, and data governance.Data Development Lifecycle:
Lead the development, design, and integration of data engineering projects and guide the team to build solutions by leveraging software/application solutions used for statistical modeling and analysis, data warehousing and cloud solutions, and building data pipelines.Data Warehousing Lead:
Responsible for the management of the cloud-based data warehouse, including data governance and data quality measures.Project Leadership:
Lead project efforts with technology solutions and perform proof of concept (POC) analysis. Recommend analytic reporting tools/technologies and lead the adoption of emerging technology products and tools.Guide the team to organize the data for reporting, analytics, and data mining.Guide the team in building Data APIs to enable data scientists and business intelligence analysts to query the data.Conduct code development and reviews in programming languages used for statistical analysis and modeling, including SQL, Google BigQuery SQL, Python, R, and VS Code.QUALIFICATIONSMinimum 3-5 years of experience in hands-on execution of data transformation programs, showcasing expertise in navigating data landscapes, implementing innovative solutions, and driving tangible business outcomes.Strong understanding of data life cycle stages - data collection, transformation, analysis, secure data storage, and providing data accessibility.Advanced experience in data environments to ensure scalability for data throughput, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, data security, data regulations, and compliance.2-4 years of experience in developing and implementing both tactical and strategic solutions, demonstrating the ability to address immediate needs while contributing to long-term organizational goals.Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Platform, Google BigQuery, Vertex AI, Gemini AI) and all data life cycle stages.Coding expertise in SQL, BigQuery SQL, Python, and R.A Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.Familiarity with data modeling and data visualization tools (Power BI, SAS, Looker, Alteryx, and similar tools).Understanding of machine learning algorithms that assist data scientists in making predictions based on current and historical data.Preferred Qualifications:1-2 years of management experience, leading teams and projects, both directly and indirectly.Additional Information:Job Grade: 30GUPS will not provide sponsorship for this position.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,600/year to $189,600/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, education/training, and a candidate’s work experience. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position.Hired applicants may be eligible for Medical/prescription drug coverage, Dental & Vision Benefits, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, Educational Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick/Family and Medical Leave time as required by law, Discounted Employee Stock Purchase Program.Employee Type:
PermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.Other Criteria:UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.Basic Qualifications:Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.
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