Lead Data Engineer

🕒 September 25

🇺🇸 United States – Remote

💵 $155k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Magna Legal Services

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 Debt financing on 2020-02

Consulting • Insurance • Logistics

Magna Legal Services is a U. S. -based provider of end-to-end litigation support services for law firms, insurance companies, corporations, and government agencies. The company offers court reporting and virtual depositions, record retrieval, service of process, investigative and language services, social media surveillance, jury research and consulting (JuryConfirm, JuryEvaluator, JuryScout), trial presentation and graphics, and related trial support. Magna also produces legal conferences and CLE/CE programs and provides nationwide scheduling and online tools to support litigation from discovery through trial.

📋 Description

• Own the technical direction, architecture, and ongoing evolution of the Snowflake data warehouse, including performance, scalability, security, reliability, and cost efficiency • Lead the design, development, and standardization of scalable ETL/ELT pipelines across data sources and destinations, including continued evolution toward Azure Data Factory • Establish and uphold engineering standards for code quality, testing, documentation, version control, deployment, monitoring, and data quality • Lead the design and development of dimensional data models, including star schemas within a medallion architecture, using dbt, Sigma, and related technologies • Partner with technical and business stakeholders to translate data needs into a prioritized technical roadmap and deliver trusted, reusable data solutions • Provide technical guidance through solution design and code reviews; mentor data engineers and analysts • Evaluate and introduce tools, patterns, and process improvements to improve scalability, reliability, maintainability, and delivery efficiency • Lead complex and ad hoc data engineering initiatives from requirements through delivery while promoting data governance, data literacy, and responsible data practices

🎯 Requirements

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field • 5+ years of progressive experience in data engineering, including ownership of complex initiatives and technical leadership within a modern cloud data environment • Advanced hands-on experience with Snowflake, including data warehouse architecture, performance tuning, security and access controls, and cost optimization • Advanced SQL skills • Strong experience with a scripting language such as Python for data processing, automation, and troubleshooting • Strong experience designing and operating scalable ETL/ELT pipelines, including orchestration, testing, monitoring, and production support • Hands-on experience with dimensional data modeling, star schema and medallion architectures, and dbt or a comparable transformation framework • Experience with Azure Data Factory or a comparable cloud orchestration platform • Demonstrated technical leadership through mentoring, design and code reviews, engineering standards, and cross-functional delivery • Strong communication and prioritization skills

🏖️ Benefits

• Equal employment opportunity policy • Compensation and training included among protected employment terms and conditions

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