Data Engineer (REMOTE)

Principal Data Engineer

As a Principal Data Engineer, you will be expected to understand and investigate state-of-the-art techniques in advanced Machine learning (ML) and statistical modeling. You will design, develop, and deploy state-of-the-art scalable systems for innovative analytics applications. You will develop tools for data scientists and assist with the development of solutions for business problems and product enhancements. You will have an opportunity to work with first-rate engineers, scientists, and experts on stimulating challenges. Our ideal candidate can demonstrate how they have applied analytic disciplines in addition to having a development background. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, with a proven ability to drive business results with data-based insight. Able to mentor and guide junior data engineers

Team Environment: Our team is collaborative, enjoys working with each other, and we are eager to help each other succeed. We are self-starters with technical curiosity and have a willingness to learn. We are open to sharing new ideas and improvements. We work on the cutting edge technologies to provide the best experience for the customer. We take pride in our work. If this sounds like you, then you may be a good candidate for our team!

Your Responsibilities

• Work on the DevOps CI/CD for models.
• Build cost-effective tools and support structures to analyze data, perform elements of data cleaning, feature selection, feature engineering, and organize experiments with best practices.
• Design, develop, and maintain ingestion mechanisms and governance mechanisms for data lakes.
• Research and stay up-to-date on the latest technology developments through continuous learning. Be solution-based and a champion for promising new methods.
• Collaborate and strategize on opportunities, cross-training, and knowledge transfer.
• Demonstrated history of driving and delivering analytics models and solutions.

Essential Requirements

• Previous experience with Big data technologies, ETL, ELT, statistics and causal inference, Deep Learning, modeling and simulation
• Strong knowledge of Machine learning fundamentals, data mining, and statistical predictive modeling.
• Able to communicate effectively with Data Scientists, AI/ML engineers, quality engineers and management
• Strong problem-solving skills with an emphasis on product development.
• Strong programming skills in Python
• Experience in handling large scale data
• Working knowledge of spark
• 2 years of experience in leading and mentoring

Desirable Requirements

• Bachelor's degree, preferably in Analytics, Computer Science, Statistics, or a related major with 6+ years of relevant subject area experience or 4 + years of experience with Masters
• Experience in working with and creating data architectures.
• Knowledge of Machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, Java), in addition to open source Machine learning and analytics packages to generate deliverable modules and prototype demonstrations of your work.
• Breadth of skills and experience in Machine learning (diverse types of data and sources, different types of learning models, diverse learning settings)
• Ability and inclination to work in multi-disciplinary environments, and a passion for ideas realized in practice
• Strong analytical, written, and verbal communication skills

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at ************* or View phone number on click.appcast.io.