Senior Data Engineer - Databricks

Overview

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions: * Lead and architect migration of data environments with performance and reliability. * Assess and understand the ETL jobs, workflows, BI tools, and reports * Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products * Experience in crafting database / data warehouse solutions in Databricks * Key must have skill sets – Databricks, Python, SQL * Support an Agile software development lifecycle * You will contribute to the growth of our Data Exploitation Practice!

Qualifications: * Ability to hold a position of public trust with the US government. * 12+ years of experience with a Bachelors Degree or 8+ years with a Masters Degree. * 8-12 years industry experience in data engineering and a passion for solving complex problems. * 8-12 years direct experience in Data Engineering with experience in the following: * + Experience designing and building data pipelines and data products on modern lakehouse platforms (e.g. Databricks, Apache Spark), including Delta Lake, distributed processing and performance optimization. + Experience supporting or integrating GenAI/ML workflows (e.g. feature engineering, vectors torage, RAW pipelines, or model lifecycle using tools like MLFlow) + Experience operating in enterprise or regulated cloud environments, including working within platform constraints, security controls, and data governance frameworks. + Experience building batch and streaming data pipelines using distributed processing frameworks (e.g. Apache Spark Structured Streaming) within a lakehouse architecture. + Exp