Senior Data Engineer (US only)
Nimble Gravity1 month ago
Remote, United StatesSenior
Responsibilities
- Design, develop, maintain, and optimize end-to-end cloud data pipelines.
- Create complex data transformation logic and ETL processes for analysis and reporting.
- Collaborate with data architects and stakeholders to ensure pipeline scalability, reliability, performance, data quality, and integrity.
- Understand client data requirements and deliver actionable insights.
- Lead, guide, and mentor a team of data engineers.
- Stay current with cloud technologies and data engineering practices.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, or a related field.
- At least 5 years of experience as a Data Engineer focused on cloud-based solutions.
- Strong hands-on expertise with Microsoft Azure and relevant Azure services.
- Experience with Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Python, PySpark, SparkSQL, Azure Data Factory, Logic Apps, Azure Data Storage Gen2, Kafka, and Azure Event Hubs.
- Proficiency in data modeling, ETL/ELT processes, and data warehousing concepts.
- Knowledge of SQL, NoSQL databases, and data processing frameworks such as Apache Spark.
- Strong problem-solving and troubleshooting skills for complex data engineering issues.
- Strong leadership skills and the ability to guide and mentor junior team members.
- Relevant Microsoft Azure data certifications are preferred.
Tech Stack
Categories
Data Engineering
About Nimble Gravity
Nimble Gravity is a Denver-based, privately held IT services firm that provides data, AI/ML, and digital engineering consulting to enterprises, with a focus on ecommerce. It implements analytics platforms, machine learning models, and storefront optimizations on Shopify and BigCommerce, and builds custom data integrations and visualizations. The company engages on a services and project basis, covering strategy, implementation, and managed support.