Job Description
Note: The job is a remote job and is open to candidates in USA. Streamline is a company specializing in Enterprise Mobility, Product Engineering, and IT Transformation. They are seeking a Senior Data Engineer to design, build, and optimize data pipelines for Snowflake while ensuring data quality and optimizing cloud infrastructure costs. Responsibilities β’ Design, develop, and deploy Azure Functions and broader Azure data services to extract, transform, and load data into Snowflake data models and marts β’ Implement automated data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness across all pipelines β’ Optimize workloads to reduce cloud hosting costs, including right-sizing compute, tuning queries, and leveraging efficient storage and caching patterns β’ Build and maintain ELT/ETL workflows and orchestration to integrate multiple internal and external data sources at scale β’ Design data pipelines that support both near real-time streaming data ingestion and scheduled batch processing to meet diverse business requirements β’ Collaborate with engineering and product teams to translate requirements into robust, secure, and highly available data solutions Skills β’ Strong expertise with Azure data stack (e.g., Azure Functions, Azure Data Factory, Event/Service Bus, storage) and Snowflake for analytical workloads β’ Proven experience designing and operating production data pipelines, including CI/CD, observability, and incident response for data systems β’ Advanced SQL and performance tuning skills, with experience optimizing transformations and Snowflake queries for cost and speed β’ Solid programming experience in Python or similar for building reusable ETL components, libraries, and automation β’ Experience with streaming and batch ingestion patterns (e.g., Kafka, Spark, Databricks) feeding Snowflake β’ Familiarity with BI and analytics tools (e.g., Power BI, Grafana) consuming Snowflake data models β’ Background in DevOps practices, including containerization, CI/CD pipelines, and infrastructure-as-code for data platforms β’ Experience with modern data transformation tools (e.g., dbt) and data observability platforms for monitoring data quality, lineage, and pipeline health β’ Ability to adapt to a fast-paced and dynamic work environment β’ Self-motivated and able to work independently with minimal supervision, taking initiative to drive projects forward β’ Expert-level problem-solving skills with the ability to diagnose complex data pipeline issues and architect innovative solutions β’ Proven ability to integrate and analyze disparate datasets from multiple sources to deliver high-value insights and drive business impact β’ Strong problem-solving skills and attention to detail β’ Proven ability to manage multiple priorities and deadlines β’ Passionate about staying current with emerging data engineering technologies and best practices, driving innovation to enhance product capabilities and maintain competitive advantage β’ Experience developing and architecting SaaS platforms with a focus on scalability, multi-tenancy, and cloud-native design patterns Benefits β’ A challenging and rewarding role in a dynamic and international environment. β’ Opportunity to be part of a growing company with a strong commitment to innovation and excellence. β’ A supportive and collaborative team culture that values personal growth and development. β’ Competitive compensation and benefits package. Company Overview β’ Streamline is an advisory firm that specializes in enterprise mobility, product engineering, project management, and IT transformation. It was founded in undefined, and is headquartered in Bothell, Washington, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship β’ Streamline has a track record of offering H1B sponsorships, with 7 in 2025, 3 in 2024, 4 in 2023, 13 in 2022, 12 in 2021, 30 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job