Data Engineer

Young Presidents' Organization

$110K — $130K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in data engineering or 8+ years of equivalent experience; Master’s preferred.
  • Over 5 years of experience as a data engineer in a consumer-facing organization.
  • Hands-on expertise with relational, noSQL, and GraphQL database design.
  • Proficient in data models, data mining, and segmentation techniques.
  • Knowledgeable in programming languages such as Java and Python, with experience in CI/CD development.
  • Strong numerical and analytical skills with the ability to synthesize diverse data sources.
  • Experience with platforms like Snowflake, BigQuery, Looker, Tableau, and Salesforce.

Responsibilities

  • Determine and implement YPO’s internal data architecture and its applications within the organization.
  • Collaborate with the data product owner on innovative product development.
  • Design and build scalable data services and pipelines.
  • Analyze and organize raw data to support internal data products and services.
  • Evaluate business objectives and needs related to data usage and development.
  • Analyze trends and patterns to identify new opportunities.
  • Help define data best practices and tool usage.

Benefits

  • Flexible work hours to accommodate international members and team.
  • Opportunities for travel, both domestically and internationally, approximately 20% of the year.
Full Job Description

PRIMARY RESPONSIBILITIES

  • Help determine the direction and implementation of YPO’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 YPO 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 YPO 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.

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