Principal Data Engineer

Transamerica

. Design and develop modern architectures enabling data-driven digital business across the enterprise .

Posted 10/9/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data-driven architectures and platforms, with a strong focus on cloud and on-premises solutions. Proficient in data engineering, analytics, and implementing best practices for data quality and management.

Highest-signal resume keywords

Data EngineeringBig Data ArchitectureSQL ProficiencyDevOps MethodologiesCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData WarehousingData IntegrationData Pipeline DevelopmentMachine Learning ConceptsETL ImplementationLinux OperationsShell ScriptingData VisualizationSoftware Development in Java

Soft Skills

Analytical SkillsProblem-SolvingTechnical CommunicationCustomer FocusTeam Collaboration

Tools & Technologies

AWSMicrosoft AzureData APIsData Delivery ServicesAgile Methodologies

Certifications & Qualifications

AWS CertificationMicrosoft Certification

Industry Keywords

Data-Driven SolutionsReal-Time Streaming AnalyticsMaster Data ManagementData QualityMetadata Management

Tech Stack

Tools & technologies

AWSCloudETLJavaJavaScriptLinuxNode.jsPythonScalaShell ScriptingSQL

About the role

Key responsibilities & impact

Design and develop modern architectures enabling data-driven digital business across the enterprise
Design data strategies, grow capabilities, and develop the enterprise data platform
Provide technology leadership and guidance on data engineering developments, architecture, and design decisions
Act as a subject matter expert with engineers, data scientists, analytics teams, and business product owners in an agile environment
Architect, build, and support cloud and on-premises enterprise data infrastructure and tools
Design robust, reusable, and scalable data-driven solutions and pipeline frameworks
Automate ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data
Lead development of data APIs and data delivery services supporting operational processes, analytical models, and machine learning applications
Lead selection and integration of data-related tools, frameworks, and applications
Implement best practices for master data, reference data, metadata, data quality, and lineage
Assist in strategy, budget, and execution development for data initiatives

Requirements

What you’ll need

Bachelor’s degree in computer science, math, engineering, or relevant technical field
Seven years of experience in data engineering, data analytics, data warehousing, business intelligence, database administration, and data integration
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
Strong analytical, problem-solving, technical communication, and customer-focus skills
Ability to work in a team environment and prioritize work to meet tight deadlines
Ability to learn and keep pace with the latest technology advances
Preferred: Master’s degree in a technical field
Preferred: Understanding of big data and real-time streaming analytics processing architecture and ecosystems
Preferred: Experience with data warehousing architecture and implementation, source-to-target mappings, and ETL code
Preferred: Experience with advanced analytics and machine learning concepts and implementations
Preferred: Experience with data analysis and data visualization tools
Preferred: Relevant technology or platform certification, such as AWS or Microsoft
Preferred: Software development experience in Java, Python, Scala, or Node.js

Benefits

Comp & perks

Competitive Pay
Bonus for Eligible Employees
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Paid Time Off starting at 160 hours annually for employees in their first year of service
Ten (10) paid holidays per year
Be Well Company holistic wellness program, including 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
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