Remote Data Jobs · SQL

Design, build, and optimize scalable data platforms in a modern cloud environment. Involve hands-on development of ETL/ELT pipelines and data quality automation. Implement governance frameworks supporting analytics, BI, and ML use cases.

Perform analysis on structured and unstructured data sets. Develop solutions for targeted business needs. Implement models to uncover patterns and predictions creating business value and innovation.

Looking for a Senior Data Engineer with expertise in Azure and SQL to build and optimize data solutions. Engage directly with clients, translating business needs into technical solutions. Ensure best practices across data architecture, governance, and performance.

• Develop machine learning applications to support the new digital testing platform.
• Create insights from existing data and drive the collection of new data.
• Help the team break down the work into manageable tasks and support Agile maturity.

• Contributes to data analytics, data operations, and software product development.
• Supports existing data operations such as data refresh ETL and data structure development.
• Develops new products using data centric DevOps concepts to inform requirements and creation of APIs.

Design, develop and optimize ETL pipelines using PySpark, Hive and Airflow for large-scale data processing. Build and maintain data lakes using Delta Lake, ensuring data reliability, quality, and integrity. Monitor, troubleshoot, and improve pipeline performance, scalability, and reliability.

Analyze health insurance claims, policy, and customer data to identify trends. Support data-driven decision-making for stakeholders. Extract, analyze, visualize, and present data.

• Design and build large-scale distributed data pipelines using various technologies.
• Develop ETL/ELT workflows on GCP integrating multiple data sources.
• Implement observability, monitoring, logging, and error-handling within pipelines.

• Design and build dashboards and self-service tooling in Looker.
• Suggest and perform analysis of landing pages, A/B test, audiences, segments, ads, and creatives.
• Drive target audience segmentation, attribution modeling, lead generation analytics, paid and unpaid channels optimizations.

• Rebuild and own the Commercial reporting stack, from static spreadsheets to living Tableau dashboards.
• Translate noise into insight, spotting revenue leaks, performance drops, and what’s really driving client value.
• Partner with Sales, Account Management, and BI, focusing on shared goals and real outcomes.