Sr. Data / M/L Engineer

Join a leading organization dedicated to providing essential services and driving innovation within a critical industry. As a partner with Aquent, we are seeking visionary talent to help shape the future of our data-driven initiatives. About the Role: Are you a highly skilled and innovative professional ready to make a significant impact? This pivotal role offers the opportunity to design, build, and optimize cutting-edge analytical solutions that will directly influence strategic business decisions and enhance operational efficiency. You will be at the forefront of leveraging large datasets to develop predictive and prescriptive models, establish robust data infrastructure, and empower business teams with actionable insights. Your expertise will be crucial in transforming complex data into tangible value, driving forward our mission with advanced technology and strategic vision, contributing directly to the success of our data-driven future.

Responsibilities

Design, develop, and implement advanced analytical solutions to support critical business decisions; Apply statistical and machine learning techniques to large datasets for predictive and prescriptive analysis; Build and optimize robust data pipelines and ETL frameworks, ensuring data quality and availability; Collaborate with cross-functional teams to define data requirements and integrate solutions; Develop and maintain interactive dashboards and reports using leading Business Intelligence (BI) tools; Write and optimize complex SQL queries for efficient data extraction and manipulation; Manage and maintain data within relational and SQL databases; Create comprehensive documentation for data processes, models, and tools; Contribute to full-stack development, spanning both front-end and back-end components; Establish and manage scalable data infrastructure, including hardware considerations, compilers, and interpreters; Apply advanced machine learning and artificial intelligence techniques to solve complex business problems; Leverage hardware experience to manage large datasets, develop efficient data pipelines, and ensure reliable data processing across servers and cloud platforms

Requirements

Strong experience with SQL and database management; Proven experience in designing and implementing data pipelines and ETL processes; Proficiency in machine learning and statistical modeling; Hands-on experience with leading Business Intelligence (BI) tools; Demonstrated full-stack development knowledge; Experience with major cloud platforms; Strong understanding of data architecture, data modeling, and infrastructure setup; Ability to effectively work with and manage large-scale datasets; Solid programming experience (e.g., Python, R); Exceptional problem-solving and analytical skills; Bachelor’s degree in Electrical Engineering or Computer Engineering

Nice to have

Experience with advanced AI and machine learning frameworks; Familiarity with big data technologies; Proven experience in setting up new environments and infrastructure from scratch; Knowledge of hardware and server configuration; Experience in complex, highly regulated industries; Familiarity with DevOps or data engineering tooling

Benefits

Health benefit contributions; retirement plans with match; flexible spending accounts