Data Engineer I - Marketing Analytics (Hybrid)

Full-time - Entry Level

Hybrid - Portland, ME

5,001-10,000 employees

Insurance Carriers and Related Activities

About the position

The Data Engineer I will design, build and maintain data systems and pipelines to allow data to be accessed and utilized optimally for analytics or visualization/insight generation purposes. The role requires technical expertise in the fields of computer programming, database management and data architecture; and relies on increasing business knowledge.

Responsibilities

• Employ a variety of languages and tools to develop, construct, test and maintain data pipelines, ensuring they support the requirements of the business.
• Integrate varying sizes of data from different sources (including DB2, SQL Server, Web API and Teradata).
• Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
• Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply.
• Create data assets that conform to scalability, extensibility, performance and maintainability requirements for the problem at hand.
• Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools.
• Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to manager.
• Support integration of solutions within existing business processes using automation techniques.
• Understand theory and application of current and emerging software engineering practices.
• Provides support to lower level Data Engineer peers.
• Perform other related duties as assigned.

Requirements

• Bachelor's degree in quantitative field is required, Master's is preferred.
• 2 years of professional experience or equivalent relevant work experience preferred.
• Knowledge in all of the following skillsets and deep expertise in at least two: Software Engineering, Data Architecture and Infrastructure, Holistic Data Preparation, Data Extraction, Transform & Load, Core business capabilities, Leadership Capabilities.

Nice-to-haves

• Experience in at least one relevant object-oriented programming language (i.e. Java/Scala, Python).
• Exposure to DevOps best practice including CI/CD, process automation and optimization.
• Experience in writing complex SQL queries that join multiple tables/databases.
• Demonstrated communication skills, experience in financial services, exposure to working with senior management and executive leadership.

Benefits

• Award-winning culture
• Inclusion and diversity as a priority
• Performance Based Incentive Plans
• Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
• Generous PTO (including paid time to volunteer!)
• Up to 9.5% 401(k) employer contribution
• Mental health support
• Career advancement opportunities
• Student loan repayment options
• Tuition reimbursement
• Flexible work environments