Manager, Data Engineering - Remote Position

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Overview

Our IT professionals work on the cutting edge in all areas of technology. Their award-winning digital innovations are bringing UPS into the future and helping us make a difference for customers around the world.

Full-Time
Atlanta, Georgia
Level Varies Based on Position

Job Description

Primary Location: 55 GLENLAKE PARKWAY NE, ATLANTA, Georgia - United States of America , 30328 Job ID: R24029369

Date posted 10/21/2024

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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. Particularly, 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 deeply execute on data analytics projects and lead and manages projects within the department and support 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.

RESPONSIBILITIES

Data Engineering Lead: The data engineer's role is to design, build, maintain, and troubleshoot an organization's data architecture. They are responsible for leading the implementation strategy by making data accessible so that the team and business stakeholders can use it to evaluate and improve their performance. Responsibilities will 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 guides the team to build solutions by leveraging a software/application solution 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. Data governance and data quality measures included.
Project Leadership: Lead project efforts with the technology solutions perform proof of concept (POC) analysis. Recommends analytic reporting tools/technologies and leads 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 developed in programming language used for statistical analysis and modeling, using SQL, Google BigQuery SQL, Python, R, and VS Code.

QUALIFICATIONS

Minimum 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, storing the data securely, and providing data accessibility.
Advanced experience in data environments to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, Analyzing large amounts of data, real-time predictions, insights and customer feedback, 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 also contributing to long-term organizational goals with innovative and forward-thinking approaches.
·Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Plaform, Google BigQuery, Vertex AI, Gemini AI) and all the 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 which help data scientists make 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: 30G
UPS 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 but not limited to, market location and may vary depending on job-related knowledge, skills, and 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. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

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:

Permanent

UPS 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/nationalorigin/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.