Overview
On Site
USD 169,541.00 - 215,800.00 per year
Full Time
Skills
Data Quality
Sourcing
Forecasting
Collaboration
Project Planning
Technical Direction
Continuous Delivery
High-level Design
Interfaces
Data Engineering
Visualization
Microsoft Azure
Electronic Engineering
Computer Science
Customization
Generative Artificial Intelligence (AI)
Data Extraction
Data Analysis
Risk Management
SQL
Microsoft Power BI
Tableau
Programming Languages
Java
Python
Shell Scripting
Operating Systems
Linux
Microsoft Windows
OS X
Apache Hadoop
MongoDB
Cloudera
Unstructured Data
Big Data
Management
Business Intelligence
Artificial Intelligence
Insurance
Legal
Internet
Optical Fiber
Jersey
Law
Job Details
Job Description:
JOB LOCATION: 200 S Laurel Bldg A, Middletown, NJ 07748 [Hybrid Position]
DUTIES: Deliver and Support the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Use Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management. Work with vendors and copilot a Generative AI tool to build new reports quickly and with high levels of specificity, generate visualizations from data, analyze data, analyze existing reports, create narratives from data and forecasting. Collaborate with portfolio stakeholders, Solution and Enterprise Architects, to develop, analyze, split, and realize the implementation of enablers. Participate in project planning, system and solution demos, retrospective workshops. Program different platforms including SQL, involving power BI and tableau development and administration. Align development teams to a shared technical direction and partners with those teams in elaborating the Solution and its interfaces. Validate technology assumptions, evaluate implementation alternatives. Create and enable the Continuous Delivery Pipeline including participate in planning, definition, and high-level design of the system solution and explore alternatives. Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data for secure data access. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques. Utilize analysis tools Power BI, Tableau and Azure. Utilize programming languages Java, Python, shell scripting and operating systems Linux, Windows, Mac OS. Utilize big data tools like Hadoop, Mongo DB, Cloudera to mine structured and unstructured data in Big data environment. Manage Business Intelligence Applications End-To-End.
REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree in Electronic Engineering or Computer Science, and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, postbaccalaureate experience in a related occupation delivering and supporting the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and developing the mechanisms to ingest, analyze, validate, normalize and clean data; using Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management; programming different platforms including SQL, involving power BI and Tableau development and administration; utilizing programming languages Java, Python, shell scripting and operating systems Linux, Windows, and Mac OS; utilizing big data tools like Hadoop, Mongo DB, Cloudera to mine structured and unstructured data in Big data environment; and managing Business Intelligence Applications End-To-End.
Our Lead Data/AI Engineering earn between $169,541 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40
Time Type:
Regular
Location:
Middletown, New Jersey
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
JOB LOCATION: 200 S Laurel Bldg A, Middletown, NJ 07748 [Hybrid Position]
DUTIES: Deliver and Support the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Use Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management. Work with vendors and copilot a Generative AI tool to build new reports quickly and with high levels of specificity, generate visualizations from data, analyze data, analyze existing reports, create narratives from data and forecasting. Collaborate with portfolio stakeholders, Solution and Enterprise Architects, to develop, analyze, split, and realize the implementation of enablers. Participate in project planning, system and solution demos, retrospective workshops. Program different platforms including SQL, involving power BI and tableau development and administration. Align development teams to a shared technical direction and partners with those teams in elaborating the Solution and its interfaces. Validate technology assumptions, evaluate implementation alternatives. Create and enable the Continuous Delivery Pipeline including participate in planning, definition, and high-level design of the system solution and explore alternatives. Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data for secure data access. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques. Utilize analysis tools Power BI, Tableau and Azure. Utilize programming languages Java, Python, shell scripting and operating systems Linux, Windows, Mac OS. Utilize big data tools like Hadoop, Mongo DB, Cloudera to mine structured and unstructured data in Big data environment. Manage Business Intelligence Applications End-To-End.
REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree in Electronic Engineering or Computer Science, and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, postbaccalaureate experience in a related occupation delivering and supporting the standardization, customization and ad-hoc data analysis using BI applications such as Power BI and Tableau and developing the mechanisms to ingest, analyze, validate, normalize and clean data; using Generative AI in data analytics to automate the data extraction, analysis process, filtering data by inputting parameters, future data analysis and risk management; programming different platforms including SQL, involving power BI and Tableau development and administration; utilizing programming languages Java, Python, shell scripting and operating systems Linux, Windows, and Mac OS; utilizing big data tools like Hadoop, Mongo DB, Cloudera to mine structured and unstructured data in Big data environment; and managing Business Intelligence Applications End-To-End.
Our Lead Data/AI Engineering earn between $169,541 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40
Time Type:
Regular
Location:
Middletown, New Jersey
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
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.