Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout the United States and beyond. We have an exciting opportunity for a Senior Data Engineer to join our client on a direct-hire basis.

100% Remote - USA

Data Integration Engineer | About You

The Data Engineer will serve in a key role within our Data Practice, working with clients to develop end-to-end data-driven solutions. Must be highly analytical and have the proven ability to develop and reverse engineer complex solutions. Critical thinking and advanced problem-solving skills are core behaviors among the team. Strong team and project lead experience will be valuable for this role.

Data Integration Engineer | Core Responsibilities

  • Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, and strategic insights and recommendations
  • Utilize e-commerce platforms and social media APIs to enhance the organization's application and user insights.
  • Design, develop, and test databases, data warehouses, data lakes, queries and views, reports, and dashboards.
  • Utilizes best-in-class ETL and ELT practices to perform data conversions, imports, and exports of data within and between internal and external software systems.
  • Merges platforms with enterprise systems and applications.
  • Provides advisory and solutioning expertise to a broad range of cross-functional teams.

Data Integration Engineer | Skills & Experience

  • Bachelor’s level degree or equivalent experience required.
  • Experience working within an eCommerce environment is critical to understanding the data landscape.
  • Experienced using social media APIs and e-commerce platforms including Shopify, including building and integrating REST APIs and web hooks.
  • SQL experience is required, but experience with Redshift or Vertica could be valuable.
  • Experienced using data visualization platforms (Tableau, Looker, Periscope, etc.)
  • Solid understanding of ETL strategies and design, (staging environments, data transformation, change data capture, slowly changing dimensions, etc.), with an eye towards delivering functional and useful solutions in a timely manner.
  • Python proficiency for data analytics including pandas, sklern, matplotlib, seaborn,

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