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 • 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 Skills • 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 bolthires/CD, observability, and incident response for data systems • Advanced SQL and performance tuning skills, with experience optimizing transformations and Snowflake queries for bolthires 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, bolthires/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 • Ability to adapt to a fast-paced and dynamic work environment • Self-motivated and able to work independently with minimal supervision, taking initiative to drive projects forward • Expert-level problem-solving skills with the ability to diagnose complex data pipeline issues and architect innovative solutions • Proven ability to integrate and analyze disparate datasets from multiple sources to deliver high-value insights and drive business impact • Strong problem-solving skills and attention to detail • Proven ability to manage multiple priorities and deadlines • Passionate about staying current with emerging data engineering technologies and best practices, driving innovation to enhance product capabilities and maintain competitive advantage • Experience developing and architecting SaaS platforms with a focus on scalability, multi-tenancy, and cloud-native design patterns 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. Company Overview • 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 • 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