Data Engineer
TripActions · Dallas, TX
About this role
**Data Engineer** The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and Analysis team. In this hybrid role, you will play a critical part in shaping our analytics infrastructure and capabilities. You'll work closely with product managers, engineers, and operations teams to design and build analytics-ready data models, automate data workflows, and uncover impactful insights that drive product and operational decisions. **What You'll Do:** • Design, build, and maintain robust data models, tables, and views in our analytics data warehouse (using dbt/Snowflake) • Develop and automate analytics-layer data pipelines and ensure data quality with appropriate testing and monitoring • Partner with product managers, engineers, and business stakeholders to understand requirements and define key metrics • Deliver thoughtful analyses on large, complex datasets to uncover actionable insights • Develop and maintain dashboards and reports in Thoughtspot to monitor KPIs and operational performance • Consolidate and harmonize data across different business units and acquisitions • Work directly with our in-house AI platform to support or develop new tools • Contribute to documentation and training for business users • Identify and implement opportunities to streamline analytics workflows • Work on-site 3-4 days per week as part of our collaborative team **What We're Looking For:** • 2-3+ years of relevant experience in data engineering, analytics engineering, or advanced data analytics • Advanced proficiency in SQL and experience with data modeling, dbt, and cloud data warehouses (Snowflake preferred) • Experience developing analytics-layer data pipelines and ensuring data quality • Hands-on experience with BI/data visualization tools (Thoughtspot preferred) • Experience analyzing complex, high-volume datasets and delivering actionable insights • Hands-on experience with Python for data analysis; prompt/AI development is a plus • Effective written and verbal communication skills • Collaborative mindset and ability to work on-site 3-4 days per week **Nice to Have:** • Experience with experimentation frameworks or statistical analysis • Experience in product-centric or fast-paced environments • Stakeholder management experience with Product, Engineering, and Operations teams • Familiarity with engineering best practices (versioning, testing, monitoring)
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