via Remote Rocketship
$120K - 200K a year
Design, develop, and optimize data pipelines and workflows using Azure and Snowflake to support analytics and reporting.
Strong expertise in Azure data services, Snowflake, SQL, Python, and experience with streaming and batch data ingestion.
Job Description: • Design, develop, and deploy Azure Functions and broader Azure data services to extract, transform, and load data into Snowflake data models and marts. • Implement automated data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness across all pipelines. • Optimize workloads to reduce cloud hosting costs, including right-sizing compute, tuning queries, and leveraging efficient storage and caching patterns. • Build and maintain ELT/ETL workflows and orchestration to integrate multiple internal and external data sources at scale. • Design data pipelines that support both near real-time streaming data ingestion and scheduled batch processing to meet diverse business requirements. • Collaborate with engineering and product teams to translate requirements into robust, secure, and highly available data solutions. Requirements: • Strong expertise with Azure data stack (e.g., Azure Functions, Azure Data Factory, Event/Service Bus, storage) and Snowflake for analytical workloads. • Proven experience designing and operating production data pipelines, including CI/CD, observability, and incident response for data systems. • Advanced SQL and performance tuning skills, with experience optimizing transformations and Snowflake queries for cost and speed. • Solid programming experience in Python or similar for building reusable ETL components, libraries, and automation. • Experience with streaming and batch ingestion patterns (e.g., Kafka, Spark, Databricks) feeding Snowflake. • Familiarity with BI and analytics tools (e.g., Power BI, Grafana) consuming Snowflake data models. • Background in DevOps practices, including containerization, CI/CD pipelines, and infrastructure-as-code for data platforms. • Experience with modern data transformation tools (e.g., dbt) and data observability platforms for monitoring data quality, lineage, and pipeline health. Benefits: • A challenging and rewarding role in a dynamic and international environment. • Opportunity to be part of a growing company with a strong commitment to innovation and excellence. • A supportive and collaborative team culture that values personal growth and development. • Competitive compensation and benefits package.
This job posting was last updated on 2/16/2026