Data Engineer

We are seeking a Data Engineer contractor to join our team.

You will architect and implement modern data platforms, collaborate closely with BI, software, and AI specialists, and serve as a trusted advisor to clients.

This role is ideal for someone who enjoys balancing technical excellence and client engagement while remaining hands-on with modern cloud and data technologies.

Responsibilities

Architecture

• Architect modern data platforms using Databricks and related cloud technologies, with experience in Microsoft Fabric, Snowflake, Azure, or similar platforms considered highly valuable.
• Define scalable, secure, and maintainable data architectures that support analytics, reporting, machine learning, and AI initiatives
• Lead infrastructure design, CI/CD implementation, Infrastructure-as-Code, and deployment automation
• Evaluate architectural tradeoffs and recommend solutions aligned to client goals and long-term scalability
• Establish engineering standards, best practices, and reusable design patterns across projects

Data Engineering & Development

• Design and build enterprise-grade ETL/ELT pipelines and data integration solutions
• Develop solutions utilizing Databricks, Microsoft Fabric, Azure Data Factory, Snowflake, DBT, Spark, PySpark, Python, and SQL
• Optimize batch, streaming, and near-real-time data processing workloads
• Implement data quality, lineage, governance, observability, and monitoring frameworks
• Design semantic models and curated data products for BI, analytics, and AI consumption
• Support implementation of modern lakehouse and data warehouse architectures

Project Planning & Delivery

• Break down client requirements into actionable engineering workstreams
• Contribute to pre-sales scoping and estimation, ensuring effort estimates are technically defensible before commitments are made
• Drive backlog creation, refinement, estimation, and sprint planning activities
• Identify technical risks, dependencies, and mitigation strategies
• Ensure engineering work is delivered with high quality and within project budgets
• Partner with project leadership to maintain project health and successful client outcomes

Client Engagement & Consulting

• Lead technical discovery workshops, architecture reviews, and solution design sessions
• Present recommendations to both technical and business stakeholders
• Translate complex technical concepts into business-focused outcomes
• Contribute to project estimation, solution design, and Statement of Work development
• Identify opportunities for future phases and expanded client value

What We're Looking For

Required Qualifications

• 3+ years of data engineering experience
• Strong experience with Microsoft Fabric, Databricks, Snowflake, and modern cloud data platforms
• Advanced proficiency in SQL and Python
• Experience building scalable ETL/ELT pipelines and enterprise data architectures
• Strong understanding of dimensional modeling, lakehouse architectures, and analytics engineering
• Experience with CI/CD, Infrastructure-as-Code, and cloud-native development practices
• Familiarity with data governance, lineage, metadata management, and security best practices
• Strong client-facing consulting and communication skills
• Experience working in Agile delivery environments

Preferred Qualifications

• Experience with Microsoft Purview, Unity Catalog, Snowflake Horizon, or similar governance platforms
• Experience with Azure cloud architecture, networking, and security, including VNets, private networking, hybrid connectivity, and enterprise-scale data platform deployments.
• Experience supporting machine learning, AI, or advanced analytics initiatives
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and AI-ready data architectures
• Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar technologies
• Experience managing or formally leading engineering teams
• Microsoft, Databricks, Snowflake, or cloud platform certifications