Bachelor's degree in computer science, math, engineering, or relevant technical field
Seven years of experience in data engineering, analytics, and data integration
Six years of experience with big data and real-time streaming analytics in cloud and on-premises environments
Four years of experience with large-scale distributed applications
Three years of experience with Linux operations and shell scripting
Three years of experience with DevOps methodologies
Expertise in SQL for data profiling and extraction
Strong analytical and problem-solving skills
Responsibilities
Act as a subject matter expert for engineers, data scientists, and product owners in an agile setting
Architect and support Cloud and On-Premises enterprise data infrastructure
Design scalable data solutions and pipeline frameworks for batch and real-time data
Lead the development of data APIs and delivery services for operational processes
Select and integrate data tools and frameworks to enhance platform capabilities
Implement best practices for managing enterprise data quality and lineage
Assist in strategy and execution for data initiatives
Benefits
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical, Dental, and Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Paid Time Off starting at 160 hours annually
Ten paid holidays per year
Holistic wellness program including Wellness Coaching
Fifteen days of paid parental leave
Adoption Assistance
Employee Assistance Program
Back-Up Care Program
PTO for Volunteer Hours
Employee Matching Gifts Program
Inclusion and Diversity Programs
Employee Recognition Program
Referral Bonus Programs
Full Job Description
Job Family IT Operations
Job Description Summary The Principal, Data Engineer is focused on the design and development of modern architectures to enable data-driven digital business across the enterprise. Designs data strategies, grow capabilities, and develop the enterprise data platform by providing technology leadership, insight on new developments within the data engineering space, and guidance in architectural and design decisions.
Job Description
Responsibilities
Act as subject matter with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
Architect, build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
Design robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, process and deliver structured and unstructured batch and real-time streaming data.
Demonstrate technical and procedural leadership in the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
Leads the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities.
Implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.
Assist in strategy, budget, and execution development for all data initiatives.
Qualifications
Bachelor's degree in computer science, math, engineering, or relevant technical field
Seven years of experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
Six years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on premises and cloud environments
Four years of experience architecting, building, and administering large-scale distributed applications
Three years of experience with Linux operations and development, including basic commands and shell scripting
Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
Demonstrated skills in detailed-oriented delivery management
Expertise in SQL for data profiling, analysis, and extraction
Familiarity with data science techniques and frameworks
Results oriented and with a strong customer focus
Creative thinker with strong analytical and problem-solving skills
Results oriented with a strong customer focus
Ability to work in a team environment
Strong technical communication skills
Ability to prioritize work to meet tight deadlines
Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables
Preferred Qualifications
Master's degree in a technical field (e.g. computer science, math, engineering)
Understanding of big data and real time streaming analytics processing architecture and ecosystems
Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
Experience with advanced analytics and machine learning concepts and technology implementations
Experience with data analysis and using data visualization tools to describe data
Relevant technology or platform certification (AWS, Microsoft, etc.)
Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js)
Working Conditions
Office Environment
This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.
What We Offer
For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees.
Compensation Benefits
Competitive Pay
Bonus for Eligible Employees
Benefits Package
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Health and Work/Life Balance Benefits
Paid Time Off starting at 160 hours annually for employees in their first year of service.
Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).
Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars
Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.
Adoption Assistance
Employee Assistance Program
Back-Up Care Program
PTO for Volunteer Hours
Employee Matching Gifts Program
Employee Resource Groups
Inclusion and Diversity Programs
Employee Recognition Program
Referral Bonus Programs
About Transamerica
The Transamerica Corporation is an American holding company for various life insurance companies and investment firms operating primarily in the United States, offering life and supplemental health insurance, investments, and retirement services. The company has major offices located in Baltimore, Maryland; Cedar Rapids, Iowa; Denver, Colorado; Norwood, Massachusetts; Exton, Pennsylvania; Harrison, New York; Johns Creek, Georgia; Plano, Texas; and St. Petersburg, Florida. Additional affiliated offices are located throughout the United States. In 1999, it became a subsidiary of Aegon, a European financial services company headquartered in The Hague, Netherlands.
Transamerica funds the Transamerica Institute, a nonprofit foundation which comprises the Transamerica Center for Retirement Studies and the Transamerica Center for Health Studies.
