Deloitte Senior Data Engineer - SFL Scientific in Los Angeles, California
Senior Data Engineer, Specialist Senior - SFL Scientific
The SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy.
Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value.
We are hiring a Senior Data Engineer to support the design and develop solutions for various organizations looking to implement tools, software, and processes that support machine learning and AI initiatives across healthcare, life sciences, manufacturing, energy, and other sectors.
Work you'll Do:
As a Senior Data Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and deployment services for our novel machine learning applications. Key to this role is the ability to demonstrate both traditional data engineering expertise, leveraging cloud/enterprise/open-source solutions, and constructing IT infrastructure for organizations across a wide variety of industries.
In our consultative approach, we are committed to providing the best technical solutions for each client and solution. Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Some of our novel use cases include cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, and renewable energy.
Join us to expand your technical career through the lens of consulting and work on many novel projects and use cases to expand your data engineering & AI skills!
Work with clients to design, develop, and deploy new architectures for machine learning applications such as ELT pipelines, database & data warehouse solutions, compute infrastructure, cloud services, and containerized solutions
Leverage skills in modern data architecture, cloud engineering, data transformation, and management of structured and unstructured data sources
Support and enhance data architecture, and data pipelines, and define database schemas (Graph DB, SQL, NoSQL) to support algorithm scalability and deployment based on agile business priorities and technology initiatives
Participate in architectural discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud or on-prem
Adopt and maintain engineering best practices in data security, retention, and sensitivity
Present to key stakeholders, including architecture findings and design of infrastructure, hardware, software, cloud, and deployment, etc.
Mentor, motivate and coach junior members on technical best practices and inspire professional development
SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel, and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Bachelor's degree in a STEM field or equivalent experience (Computer Science, Engineering, Physics etc.); Master's degree preferred
2+ years in data engineering, data architecting or cloud engineering, while building highly scalable and secure solutions
1+ years leading project/ client engagement teams in the execution of data engineering solutions
Expert in languages such as Python, SQL, Shell scripting, Bash, & Linux commands
Expert in logging, monitoring, and data documentation best practices
Extensive hands-on experience with source version control (e.g., Git), containerization (e.g., Docker), container orchestration (e.g., Kubernetes), and supporting libraries
Experience with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g. AWS, Azure), multi-cloud service providers (e.g., Snowflake, Dataricks) & on-prem alternatives (e.g. MinIO)
Experience with workflow and data management solutions such as Fivetran, Airflow, Kafka, Glue, etc.
Experience designing data architectures and SQL, NoSQL & Graph databases
Strong analytical and problem-solving skills with the ability to develop novel and efficient solutions
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Live within commuting distance to one of Deloitte's consulting offices
Limited immigration sponsorship may be available.
Master's or Ph.D. degree in Computer Science, Information Technology, or related STEM field
AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
Demonstrated experience launching AI/ML solutions into production environments, such as into cloud or HPC/GPU environments
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $138,000 to $230,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.