Senior Data Engineer
Core
Design and build production-grade data solutions, pipelines, and analytics platforms for public and private sector clients, translating ambiguous business problems into robust technical outcomes.
Role type
Senior Data Engineer (Consulting)
Builds
Data pipelines, data warehouses, lakehouse architectures, and AI/ML integration solutions on cloud platforms.
Domain
Cloud Data Engineering, Analytics, AI/ML Integration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Data Modeling, Cloud Platforms (AWS/Azure), Spark/PySpark, CI/CD, Data Governance, Data Visualization, Statistical Reasoning, Agile Delivery
Preferred skills
Semantic Modeling, Prompt Orchestration, Model API Integration, Data Storytelling, Industry/Government Standards
Technologies
SQL, Python, Spark, PySpark, Pandas, AWS, Azure, Databricks, Redshift, Bedrock, Microsoft Fabric, Power BI, Tableau, Git
Responsibilities
Design and operate production-grade data pipelines and models; Architect data warehouses, lakehouse, and event-driven patterns; Integrate AI/ML models and APIs into data solutions; Create data visualizations and consultant-grade materials; Embed data governance, security, and quality best practices; Collaborate with clients and stakeholders in Agile environments.
Seniority
Senior, hands-on IC with consulting influence