Data Engineer

PRIMARY RESPONSIBILITIES

• Help determine the direction and implementation of ’s internal data architecture and its usage throughout the organization and its member-facing services.
• Collaborate with the data product owner on new product development.
• Design and build data services and pipelines that can support a wide-variety of use-cases.
• Support internal data products and services by analyzing and organizing raw data.
• Evaluate business needs and objectives as they relate to data usage and development.
• Analyze and interpret trends and patterns to help find new opportunities.
• Help define data best practices and tool usage.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.

SKILLS

• Ability to work collaboratively in a multi-cultural organization with international members, helping them achieve excellence in voluntary roles for initiatives.
• Excellent interpersonal skills, adept at building meaningful relationships with all levels of associates, members and vendors. Adaptable, insightful, empathetic and reliable.
• Able to maintain discretion and integrity of confidential information.
• Resourceful and able to work independently with initiative and good judgement. Effective time management, organization and prioritization, managing multiple projects simultaneously.
• Possesses a distinct global mindset, sensitive to local and international customs and protocols.
• Able to identify problems, research alternatives, provide solutions and/or resolve issues in a timely manner. Anticipates member needs and delivers with clarity.
• Analytical with ability to influence and guide appropriately and execute. Natural curiosity and desire to learn more; proficiency and interest in applying new technologies and tools.
• Excellent verbal and written communication skills, including proof reading, with a meticulous attention to detail. Adjusts communication style appropriately to the audience.
• Professional presence, appearance, and stature to interact easily with members, C-level executives and high-profile corporate leaders.

EDUCATION / EXPERIENCE / BACKGROUND

• Bachelor’s degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master’s degree preferred.
• Prefer 5+ years’ experience working as a data engineer for a consumer-facing organization with a large and varied customer/user-base.
• Extensive hands-on experience with relational, noSQLgraph and GraphQL database design.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of applicable programming languages (e.g. Java and Python) and experience working within a test-driven CI/CD development pipeline.
• Great numerical and analytical skills.
• Strong analytical skills with the ability to combine data from a variety of different sources, and to see how that data can be correlated to provide valuable business and end-user insights.
• Experience working with a wide variety of data platforms like Snowflake and BigQuery with Looker and Tableau, and data services that include Salesforce and 3rd party API-based data.

PHYSICAL REQUIREMENTS

• Ability to work flexible and/or extended hours as needed to accommodate members and team members in multiple time zones.
• Willingness and ability to travel, domestically and internationally, without restrictions, approximately 20% per year.

EOE

is an Equal Opportunity Employer. takes pride in supporting a diverse workforce and demonstrates this through its policies and practices. does not discriminate in recruiting, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.