Lead Data Engineer

Job Family

About Us

At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.

Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment — one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there.

Who We Are

We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life.

Today, we’re part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what’s important to them.

We’re

What We Do

Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.

Transamerica employs nearly 7,000 people. It’s part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com. 

Job Description Summary

Job Description

Responsibilities

• Work collaboratively 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, processing and delivery of both structured and unstructured batch and real-time streaming data.
• Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
• Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
• Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Qualifications

• Bachelor’s degree in computer science, math, engineering, or relevant technical field
• Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
• Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
• Three 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 delivery of high-quality technical project solutions
• Expertise in SQL for data profiling, analysis, and extraction
• Familiarity with data science techniques and frameworks
• Creative thinker with strong analytical 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)
• Experience with Snowflake

Working Conditions

• Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
• Occasional Travel