Senior Data Engineer - SFL Scientific｜Meet.jobs

THE ROLE

 

SFL Scientific is looking for a Lead Data Engineer to join our growing data science team and support our AI consulting practice. In this role, the ideal candidate will have ownership over defining, designing and developing solutions for our clients who are looking to implement technical processes that support and deploy machine learning and AI technologies. Join us to expand your technical career through consulting and professional services; opportunities to develop data science & AI skills are highly supported.

 

Key to this role is the ability to demonstrate cloud development, automation, DevOps, MLOps, data engineering, and streamlining IT infrastructure processes for organizations across a range of industries including healthcare, life sciences, manufacturing, energy, and more. In our consultative approach, we are platform agnostic and are committed to providing the best technical solutions for each client and solution. You will work cross-functionally with data scientists, machine learning engineers, data engineers, project managers, and industry experts to develop robust AI systems.

 

RESPONSIBILITIES

 

Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, AWS/Azure hybrid solutions, database management, and optimization of DevOps procedures

Leverage advanced skills in modern data architecture, data science engineering, data transformation, management of structured and unstructured data sources using cloud computing or on-prem technologies

Support and enhance data architecture, data pipelines, and define database schemas (Graph DB, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and technology initiatives

Lead and participate in architectural discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud or on-prem

Adopt best engineering practices in automation, HPC, CI/CD, and AIOps and mentor jr. members of the team to do so as well

 

QUALIFICATIONS

 

Bachelor's degree in STEM field or equivalent experience. Master’s preferred.

5+ years experience in data engineering, cloud engineering, MLOps

Expertise with code management and DevOps tools (e.g., Docker, Jenkins, etc.)

Expertise with workflow orchestration platforms such as Airflow, Glue, etc.

Experience designing data architectures and understanding of different types of database and platforms (relational, NoSQL, graph, etc.)

Experience with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g. AWS, Azure), containerization, and supporting analytics libraries

Excellent verbal & written communication skills

 

ABOUT US

 

SFL Scientific is a US-based data science professional services firm focused on strategy, technology, and solving business & operational challenges with Artificial Intelligence (AI). Working with clients of all sizes, industries, and AI maturity levels, our capabilities range from developing corporate AI strategies to building custom AI applications at scale. With a globally connected network of technology and cloud partners, SFL Scientific’s core services include leading cross-functional efforts across business, IT, and operations. Hundreds of clients—including S&P100 enterprises, fastest-growing startups, and government agencies—trust SFL Scientific to create and accelerate AI initiatives.

 

To learn more about our company and exciting career opportunities, visit: https://www.sflscientific.com/company/careers/

 

BENEFITS

 

Base salary, performance bonus/compensation, medical coverage, 401k plan, paid time off (vacation, personal/sick, parental, etc.), flexible work schedule, ongoing industry training, and other company-wide perks.

 

MENTORSHIP

 

Our team is dedicated to supporting new members across technical, business, and creative skills. We have a broad mix of experience levels, backgrounds, and training initiatives. We're focused on building an environment that celebrates technical excellence, continuous learning, knowledge sharing, and diversity through hands-on opportunities. Our success is founded on professional growth and encouraging our team to take on more complex projects and leadership roles in the future.

 

GROWTH

 

This person will have a complete view of a technology consulting firm in a novel, rapidly expanding field, working in a highly collaborative and responsive environment with high-profile Fortune 100 clients and partners. The candidate has the opportunity to shape how the data science team functions within SFL Scientific as the company expands based on client performance, project delivery, and technical solution development. This is an opportunity for a talented engineer to grow into a manager role, develop professionally and help develop a cohesive team of engineers, consultants, and scientists to support AI development and services efforts.