Cloud Data Engineer, Business Intelligence

Roles & Responsibilities

• Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
• Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
• Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
• Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
• Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
• Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
• Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
• Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
• Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.

Skills & Qualifications

• Experience: 5+ years of hands-on experience in data engineering.
• SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
• Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
• Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
• The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
• Coding: Proficiency in C# and/or Python.
• Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
• Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
• Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
• Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
• Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.

Additional Preferred Skills

• Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
• ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
• Statistical Languages: Familiarity with R.

Educational Requirements

Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!