Overview
On Site
Full Time
Skills
Investment Management
Investments
Extract
Transform
Load
Informatica
Data Warehouse
Management
Data Analysis
Reporting
Mobile Device Management
Master Data Management
Data Governance
Data Quality
ROOT
Provisioning
Computer Science
Electronic Engineering
Computer Engineering
Management Information Systems
Data Engineering
Relational Databases
Cloud Computing
Amazon Web Services
Snow Flake Schema
Data Lake
Database
Data Modeling
Streaming
Real-time
Microsoft Office
Microsoft Power BI
Analytics
Microsoft Azure
Data Structure
Algorithms
Apache Spark
Apache Hadoop
Python
SQL
NoSQL
Apache Hive
Linux
Shell Scripting
Big Data
Apache Parquet
RDMS
PL/SQL
PostgreSQL
MySQL
Telecommuting
Life Insurance
Insurance
Military
Legal
Finance
Programmable Logic Controller
Genetics
Law
Job Details
Job Classification:
Investment Management - Investments
Manager, Data Engineer (PGIM, Inc., Tampa, FL):
Build ETL pipelines to collect, blend, transform raw data into suitable formats for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.) and orchestrate transformation (using Airflow, other DAG tools). Create enterprise data models and define standards for data warehouse management adhering to data model definitions. Interact with data analytics and reporting teams to understand how data needs to be structured for consumption. Configure and maintains MDM tools and system processes to ensure proper function of MDM mechanisms. Define master data quality validation criteria and implements automatic error detection schemes. Implement data lineage capability to understand data movement across the enterprise. Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions. Support domain owners and data stewards to analyze quality issue root causes and remediation efforts. Monitor cross-BU data provisioning to ensure provisioning is done via official sources.
Telecommuting permitted up to 60% per week.
Full time employment, Monday - Friday, 40 hours per week, $160,900.00 per year.
MINIMUM REQUIREMENTS:
Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, Management Information Systems or a related field and 6 years of progressive, post-baccalaureate work experience.
Must have 6 years of experience in:
Must have 5 years of experience in:
Must have 2 years of experience in:
Telecommuting permitted up to 60% per week.
Domestic travel required up to 20%.
TO APPLY: Please click "Apply" Button. Should you have any difficulty in applying for this position through our website, please contact for assistance in the application process.
What we offer you:
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
If you need an accommodation to complete the application process, please email
If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
Investment Management - Investments
Manager, Data Engineer (PGIM, Inc., Tampa, FL):
Build ETL pipelines to collect, blend, transform raw data into suitable formats for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.) and orchestrate transformation (using Airflow, other DAG tools). Create enterprise data models and define standards for data warehouse management adhering to data model definitions. Interact with data analytics and reporting teams to understand how data needs to be structured for consumption. Configure and maintains MDM tools and system processes to ensure proper function of MDM mechanisms. Define master data quality validation criteria and implements automatic error detection schemes. Implement data lineage capability to understand data movement across the enterprise. Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions. Support domain owners and data stewards to analyze quality issue root causes and remediation efforts. Monitor cross-BU data provisioning to ensure provisioning is done via official sources.
Telecommuting permitted up to 60% per week.
Full time employment, Monday - Friday, 40 hours per week, $160,900.00 per year.
MINIMUM REQUIREMENTS:
Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, Management Information Systems or a related field and 6 years of progressive, post-baccalaureate work experience.
Must have 6 years of experience in:
- Data engineering supporting an on-premises data lake.
Must have 5 years of experience in:
- Utilizing relational databases (SQL, Store procedures, functions); and,
- Utilizing Python, Spark or SQL programming languages.
Must have 2 years of experience in:
- Working on cloud platforms: (AWS, Azure, CloudFormation Templates, IAM, Aurora, EventBridge, Lambda, or CloudWatch);
- Snowflake: SnowSQL or SnowPark;
- Hands on experience in modern data lake architecture, database development, or data modeling;
- Real-time data streaming and real-time analytics;
- Knowledge of Microsoft suite of tools: Power BI, Synapse suite of analytics tools, or Azure Data Factory;
- Implementation of data structures, algorithms and big data tools: Spark, Hadoop, Python, SQL, NoSQL, or Hive;
- Solid Linux OS and Shell Scripting experience;
- Experience working with big data technologies and data formats: Parquet, Delta, or Iceberg; and,
- RDMS: Oracle, SQL Server, Postgres or MySQL.
Telecommuting permitted up to 60% per week.
Domestic travel required up to 20%.
TO APPLY: Please click "Apply" Button. Should you have any difficulty in applying for this position through our website, please contact for assistance in the application process.
What we offer you:
- Market competitive base salaries, with a yearly bonus potential at every level.
- Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
- 401(k) plan with company match (up to 4%).
- Company-funded pension plan.
- Wellness Programsincluding up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
- Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
- Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
- Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
If you need an accommodation to complete the application process, please email
If you are experiencing a technical issue with your application or an assessment, please email to request assistance.
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.