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:
- ArchitectureArchitect 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 SQLOptimize 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