Sr Data Engineer I

$95,200 - $182,400/Yr

Principal Financial Group - Charlotte, NC

Full-time - Senior

Remote - Charlotte, NC

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Senior Data Engineer will join the Enterprise Data Analytics team, focusing on developing data solutions that support machine learning models for insights and automated decision-making across the organization. This role involves improving data reliability, efficiency, and quality while collaborating with data engineers and data scientists. The engineer will be responsible for data management functions, including data acquisition, processing, and visualization, and will provide technical guidance and mentorship to team members.

Responsibilities

• Recommend ways to improve data reliability, efficiency, and quality.
• Develop strategies for data acquisition and influence others within the business area.
• Provide data engineering and analysis expertise to improve efficiency across multiple technologies.
• Set standards and be responsible for technical aspects of data management functions.
• Work directly or in support of data science/analytics to design, develop, test and integrate data from various sources.
• Create, vet, and document complex data management process designs, models, and architectures.
• Provide technical advice and weigh in on technical decisions that impact other teams or the company.
• Provide technical guidance to team members on integration and functionality of infrastructure components.
• Demonstrate influence at the BU level and may be responsible for staff recruitment and performance evaluations.
• Set direction at the project/service level and influence decision-making at the Pillar/Product level.
• Coordinate with others to create action plans as a result of risk assessments or detected vulnerabilities.
• Perform other job-related duties or special projects as required.

Requirements

• Bachelor's degree plus 6 - 10 years related work experience or a Master's in related field plus 2 - 8 years related work experience.
• Demonstrable experience as an IT professional.
• Proven leadership and presentation skills required.
• Ability to work directly with data and datastores through programming languages such as Python, SQL, and Scala.
• Experience with a variety of data modeling techniques and data structures.
• Ability to optimize data for analytics and data science.
• Experience building/operating systems for data extraction, ingestion, and processing of large data sets.
• Knowledge and direct experience using business intelligence reporting tools.
• Experience building data products incrementally and integrating and managing datasets from multiple sources.
• Advanced planning, organizational, problem-solving, analytical, decision-making, and communication skills required.

Nice-to-haves

• Experience with developing and deploying AWS infrastructure via CDK.
• Experience developing data pipelines using tools such as AWS Glue and Snowflake Snowpark.
• AWS Certifications, such as Data Engineering Associate, Machine Learning Associate, or Solutions Architect Associate preferred.

Benefits

• Flexible Time Off (FTO) for salaried employees.
• Pension eligibility.
• Participation in a bonus program for non-sales positions.
• Sales positions eligible for sales incentives and bonus plans.