Data Engineer II (Remote)
eFinancial, LLC

Job Info

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Who we are:

Fidelity Life is a leading provider of financial security for middle market consumers. With a history of innovation, the company is redefining the life insurance industry with patented products and processes. Fidelity Life pioneered the use of predictive analytics to streamline the new business process and revolutionize the speed with which policies can be issued. Established in 1896, Fidelity Life enjoys a long track-record of success and continues to build its reputation of sound fiscal management and customer-focused innovation.

In concert with Fidelity Life, eFinancial is an online and call-center-based insurance agency with a proven direct-to-consumer life insurance model. Using a proprietary and patented sales technology platform, eFinancial operates call centers in Chicago, IL; Seattle, WA; and Tempe, AZ. eFinancial's licensed agents and representatives reach thousands of consumers each day to help meet their unique life insurance needs - often with just a single phone call. To complement this channel, the company recently expanded to offer an entirely digital purchase experience.

Together, Fidelity Life and eFinancial are revolutionizing the life insurance industry to make life insurance more accessible and affordable for everyday Americans. With an integrated marketing, product manufacturing, and controlled distribution system, the enterprise is uniquely positioned for growth.

What the job looks like:

As a key member of the Big Data Analytics team, you will be responsible for creating and operating the Big Data environment that enables eFinancial and Fidelity Life Association to optimize business processes and grow rapidly. You will move and integrate data across multiple disparate systems, aggregate and organize large sets of data in order to enable lead operations, analytics, and predictive modeling. If you would love being an owner-operator of a fast-growing complex online business with modern technology stacks, building analytical and infrastructure solutions, and driving success via analytics, this role is for you!

What you will contribute:

• Own the creation and maintenance of company data structures and databases in AWS to support predictive model development, analytics, and business intelligence.
• Implement, test, document, and deploy integrations and maintain production readiness for cloud-based technology stack including real-time streaming, batch feeds, and predictions models from multiple cloud-based and on-premise sources.
• Take on specific ETL projects to assimilate data from multiple new structured and unstructured data sources in batch or real-time, as appropriate.
• Assimilate and implement business rules to process raw data. Set up visualization tools to meet the needs of both cloud and on-premise user community.
• Serve as data steward for Analytics team and third-party technology partners.

What you should bring to the table:

Requirements:

• Bachelor's degree in any relevant field required.
• At least 4 years of data engineer experience.
• Hands-on experience with AWS services: Lambda, Athena, Redshift Spectrum, Glue, S3, EKS, EC2, EMR, Kinesis, and RDS.
• Git experience required.
• Knowledge and experience in Big Data and in building Data Pipelines/ETL processes.
• Strong verbal and written communications skills that enable you to explain data infrastructure complexity with clarity and precision to executive management.
• Proficiency in SQL; and working knowledge of Python and PySpark.
• Ability to think strategically to anticipate and plan for future business needs.
• Passion for taking ownership of new opportunities and projects.
• Team Player mentality - you thrive in a collaborative environment.
• Excellent multi-tasking skills, you are able to shift gears quickly and comfortably.

Nice to have skills and experience:

• Experience with DevOps and CI/CD preferred.

Efinancial LLC, Fidelity Life Association, its parents subsidiaries and affiliates (collectively "The Company") are equal employment opportunity employers. We adhere to a policy of making employment decisions without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, gender identity, marital status, age, disability or any status protected by law. We assure you that your opportunity for employment with this Company depends solely on your qualifications.

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