Data Platform Engineer

Job Description

Design, build, and maintain scalable ETL/ELT pipelines and data integration workflows.

? Ingest, transform, and manage data from APIs, third-party platforms, event-tracking systems, and internal applications.

? Maintain and optimize cloud data platforms and data warehouses, including BigQuery, Snowflake, or similar technologies.

? Develop and manage data models, transformations, and datasets that support analytics, reporting, and AI/ML initiatives.

? Monitor data quality, pipeline performance, and system reliability; troubleshoot data issues and integration failures.

? Implement and validate event tracking and analytics instrumentation across web and mobile experiences.

? Translate business requirements and retail/eCommerce KPIs into scalable data models, SQL logic, and reporting solutions.

? Partner with Product, Engineering, Sales, and business stakeholders to define metrics, reporting requirements, and data strategies.

? Build and maintain Tableau dashboards and reporting solutions that enable data-driven decision-making.

? Contribute to data architecture, platform scalability, and long-term data strategy.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

5+ years of experience in Data Engineering, Analytics Engineering, or a related field.

? Strong SQL expertise with experience building and optimizing complex queries, transformations, and data models.

? Experience building and maintaining ETL/ELT pipelines and data integration workflows.

? Proficiency in Python for data engineering and automation.

? Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.

? Experience working with AWS and/or Google Cloud Platform.

? Experience implementing and validating event tracking, analytics instrumentation, and customer behavior data collection.

? Strong understanding of retail and eCommerce KPIs, including conversion, AOV, revenue, engagement, and funnel performance.

? Ability to translate business requirements and KPI definitions into scalable data models, SQL logic, and reporting solutions.

? Experience with Tableau, including dashboard development, KPI reporting, and business-facing analytics Experience supporting AI/ML platforms and data science workflows.

? Experience with streaming technologies such as Kafka or Pub/Sub.