Lead Data Engineer (Remote)

The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Responsibilities

• Drive data initiatives through all phases of software engineering including requirements analysis, application design, code implementation, testing and deployments.
• 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 Data initiatives in AWS stack
• Three years of experience with Linux operations and development, including basic commands and shell scripting
• Three years of experience building data integrations and data warehouse pipelines
• 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
• 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 pipeline and workflow management tools/frameworks like Spark, Airflow, Python and Redshift
• 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 data integration & warehousing 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)

Compensation

**Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to applicable pay transparency and compensation posting laws. It is estimated based on what a successful candidate might be paid in certain Company locations.**

The Salary for this position generally ranges between $94,000 - $155,000. This range is an estimate, based on potential qualifications and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus of 15% based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.

Working Conditions

• Office environment, work from home
• Moderate travel

Company information

Equal Opportunity Employer:

Transamerica Life Insurance Company is an Equal Employment Opportunity employer and does not discriminate against any applicant or employee because of age, religion, sex, gender identity, genetic information, race, color, national origin, pregnancy, sexual orientation, marital status, participation in the uniformed services (e.g. U.S. Armed Forces, National Guard), physical or mental disability, or any other status protected by federal, state, or local equal employment opportunities laws.

AEGON USA Realty Advisors, LLC, is an Equal Employment Opportunity/ Affirmative Action Employer and does not discriminate against any applicant or employee because of age, religion, sex, gender identity, genetic information, race, color, national origin, pregnancy, sexual orientation, marital status, participation in the uniformed services (e.g. U.S. Armed Forces, National Guard), physical or mental disability, or any other status protected by federal, state, or local equal employment opportunities laws.

Applicants with physical or mental disabilities may be entitled to a form of reasonable accommodation under the Americans with Disabilities Act and certain state and local laws. A reasonable accommodation is a change in the way things are normally done which will insure equal employment opportunity without imposing undue hardship on the Transamerica Companies. If you are a job seeker with a disability, or are assisting someone with a disability, and require assistance to apply for one of our jobs, please contact: [email protected].

Technical Assistance:

If you experience technical problems during the application process, please email [email protected].