Senior Data Engineer – Data Analytics & BI is sought in the United States. This role designs, develops, and maintains scalable data infrastructure and analytics solutions to support data-driven decision-making. You will work across data engineering, business intelligence, reporting, and analytics to transform complex datasets into actionable insights. The position combines hands-on development with collaboration with Data Engineering, Data Science, and business teams. Responsibilities include designing reliable ETL/ELT pipelines, building self-service dashboards, and improving data quality and accessibility. You will influence how teams use data while applying strong engineering, documentation, testing, and performance practices in a collaborative environment focused on continuous learning, innovation, and technical excellence. Accountabilities include triaging requests for data reporting and analysis, developing automated pipelines, building dashboards, defining reporting requirements, and collaborating with stakeholders. You will use SQL, Python, Tableau, Jupyter Notebook, and related technologies to extract and visualize data from multiple sources; audit data integrity; optimize ETL processes; provide guidance to end users; document designs and procedures; participate in on-call responsibilities; and stay current with emerging data engineering practices and cloud platforms. Requirements include 8+ years in SQL with complex queries and large databases, 5+ years in Python for data engineering, 8+ years of experience building Tableau reports and dashboards, experience with

Senior Data Engineer – Data Analytics & BI is sought in the United States. This role designs, develops, and maintains scalable data infrastructure and analytics solutions to support data-driven decision-making. You will work across data engineering, business intelligence, reporting, and analytics to transform complex datasets into actionable insights. The position combines hands-on development with collaboration with Data Engineering, Data Science, and business teams. Responsibilities include designing reliable ETL/ELT pipelines, building self-service dashboards, and improving data quality and accessibility. You will influence how teams use data while applying strong engineering, documentation, testing, and performance practices in a collaborative environment focused on continuous learning, innovation, and technical excellence. Accountabilities include triaging requests for data reporting and analysis, developing automated pipelines, building dashboards, defining reporting requirements, and collaborating with stakeholders. You will use SQL, Python, Tableau, Jupyter Notebook, and related technologies to extract and visualize data from multiple sources; audit data integrity; optimize ETL processes; provide guidance to end users; document designs and procedures; participate in on-call responsibilities; and stay current with emerging data engineering practices and cloud platforms. Requirements include 8+ years in SQL with complex queries and large databases, 5+ years in Python for data engineering, 8+ years of experience building Tableau reports and dashboards, experience with