Principal Data Engineer

April 6

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+15 more states

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Lovelytics

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Lovelytics is a leading data and AI consultancy that specializes in transforming business operations through innovative data strategies and advanced analytics. With a focus on industries such as healthcare, financial services, manufacturing, and retail, Lovelytics leverages generative AI and machine learning to empower organizations to maximize the potential of their data assets. As a premier partner of Databricks and other technology leaders, Lovelytics is dedicated to crafting tailored solutions that enhance decision-making processes and optimize performance in the rapidly evolving digital landscape.

Tableau • Data Architecture • Managed Services • Business Intelligence • Data Visualization

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Design end-to-end data pipelines leveraging Databricks for ETL, streaming, and batch processing. • Architect data lakes and warehouses on Databricks, ensuring scalability, reliability, and performance. • Collaborate with stakeholders and other capability team members to translate business requirements into technical specifications and scalable solutions. • Implement best practices for data governance, security, and optimization within the Databricks environment. • Collaborate with Technical Directors to identify market trends, implement internal initiatives, and contribute thought leadership through blogs and innovative solutions. • Apply deep technical knowledge to address client challenges and expand business opportunities, and at times, engage in client-facing pre-sales and pursuit activities. • Manage projects, ensuring milestones are achieved within set timelines and budgetary constraints. • Provide technical guidance and support across various project facets, from data integration to troubleshooting.

🎯 Requirements

• Bachelor's degree in Computer Science or related field. • 8+ years of data engineering experience within cloud-based analytics architectures, with at least 4 years in a traditional consulting environment and role. • Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks. • Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. • Solid understanding of cloud platforms (Azure, AWS, or GCP) and their integration with Databricks. • Expertise in SQL, Python, or Scala for data manipulation and analysis. • Familiarity with Machine Learning model development or ML Ops is advantageous. • Excellent communication skills, crucial for effective client interaction and management. • Relevant certifications such as Databricks Data Engineer Professional and Databricks Machine Learning Professional are desirable.

🏖️ Benefits

• Exciting projects with diverse clients across various industries globally. • Collaborative environment fostering rapid skill development and innovation. • Opportunity to work alongside seasoned data engineers and grow professionally. • Encouragement to challenge norms, develop new technologies, and refine methodologies. • A vibrant, diverse team of data enthusiasts, experience seekers, and entrepreneurial minds dedicated to continuous improvement.