> Markdown version of [/jobs/ext/3021841-data-engineer-i-ii-or-principal-data-engineer-i-ii-level](https://www.wearedevelopers.com/jobs/ext/3021841-data-engineer-i-ii-or-principal-data-engineer-i-ii-level). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer I/II or Principal Data Engineer I/II level - **Company:** McKinsey & Company, Inc. - **Location:** Darien, CT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cyber Security, Continuous Delivery, Continuous Integration, Data Cleansing, Information Engineering, Data Security, Python (Programming Language), PostgreSQL, Machine Learning, Systems Development Life Cycle, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Web Application Frameworks, Data Processing, Google Cloud, Data Storage Technologies, Large Language Models, Snowflake, Apache Spark, Generative AI, Cloudformation, Pandas, Pyspark, Information Technology, Low Latency, Data Management, Machine Learning Operations, Virtual Agents, Terraform, Multiplatform, Data Pipelines, Databricks - **Published:** September 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-life-sciences-ai-darien-ct--f92a10af-4762-4d31-a854-0c629199d54c ## About the Role There is flexibility to hire at the Senior Data Engineer I/II or Principal Data Engineer I/II level, depending on your experience. * Degree in computer science, business analytics, engineering, mathematics, or a related field * 5+ years of professional experience in data engineering, software engineering, or adjacent technical roles * Proficiency in Python for production-grade pipelines, with strong skills in SQL and PySpark * Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Pandas, Spark, dbt, LangChain, LangGraph). * Familiarity with workflow orchestration tools such as Temporal, CI/CD for data workflows, and infrastructure-as-code (Terraform, CloudFormation) * Familiarity with vector databases and understanding of low latency serving patterns is a plus * Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP) * A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Databricks Asset Bundles, Snowflake, BigQuery, PSQL, etc.) * Understanding of MLOps and LLMOps principles including pipeline monitoring, testing, and evals, with exposure to observability tools such as Langfuse, LangSmith, and Opik * Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels. Skills: Agile Programming Methodologies, Amazon Web Services (AWS), Artificial Intelligence (AI), Biology, Biotech and Pharmaceutical, Building Systems, Business Analysis, Business Intelligence, Cloud Computing, Coaching, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Formats, Data Management, Data Modeling, Data Processing, Data Science, Data Storage, Diversity, English Language, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Leading Edge Technology, Machine Learning, Mathematics, Mentoring, Microsoft Windows Azure, Multiplatform/Cross-Platform, Presentation/Verbal Skills, Production Systems, Research & Development (R&D), Sales Pipeline, Scalable System Development, Software Engineering, System Integration (SI), Team Player, Technical Leadership, Unstructured Data, Use Cases, Writing Skills ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)