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Senior Data Engineer
Synchron, LLC Brooklyn, NY
$112k-141k (estimate)
Full Time | Medical Technology 6 Months Ago
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Synchron, LLC is Hiring a Senior Data Engineer Near Brooklyn, NY

Job Description:

We are seeking a skilled BCI Cloud Data Engineer with a strong background in setting up and maintaining interactive cloud infrastructure that is optimized for neuro-electrophysiological data. As a vital member of our team, you will be responsible for continuing to build out and optimize our cloud-based solutions that empower our products and data scientists to perform their work efficiently and effectively. Your expertise in cloud development and working with neuro-electrophysiological data will contribute to the seamless execution of data pipelines, the creation of a user-friendly Python API, and the development of robust database and visualization tools. Additionally, you will play a key role in ensuring secure access to the infrastructure and in scaling our system to accommodate a growing number of users.

Responsibilities:

  • Define optimal data infrastructure for Synchron’s neuroprosthetic dataset across the variety of AWS services available to create an ecosystem for collaboration.
  • Set up infrastructure to support the automatic execution of data pipelines, enabling streamlined data processing and analysis in the cloud.
  • Develop a Python API that empowers data scientists to harness the full capabilities of the cloud infrastructure and execute their tasks seamlessly.
  • Build and manage a scalable database to store pipeline outputs and data scientist work sessions, ensuring data integrity and easy retrieval.
  • Create visualization tools and interfaces for data scientists to explore and interpret information stored in the database, enhancing the decision-making process.
  • Implement robust security measures to ensure secure access to the cloud infrastructure, data, and applications.
  • Collaborate with cross-functional teams to continuously optimize and enhance the platform's performance, scalability, and reliability.
  • Provide technical support and guidance to data scientists, assisting them in effectively utilizing the cloud-based tools and resources.
  • Contribute to the maintenance and improvement of an existing research cloud platform, leveraging your expertise to enhance its capabilities and functionality.
  • Stay updated with the latest developments in cloud technologies, data science frameworks (Numpy, Pandas, Scikit-learn, PyTorch, TensorFlow), and best practices, and apply them to drive innovation within the organization.

Qualifications:

  • Qualified candidates will have academic and professional experience with neurology and computer science in some combination. Bachelors' degree required; Ph.D. and more advanced scientific training encouraged to apply. 
  • Experience in working with neuro-electrophysiological data sets.
  • Experience in working with synchronized multi-stream, multi-dimensional time-series data.
  • Proven experience in designing, implementing, and maintaining cloud-based solutions using AWS services, including Lambda functions and SageMaker.
  • Proficiency in Python programming and experience building APIs for data manipulation and interaction.
  • Strong understanding of data science frameworks such as Numpy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
  • Familiarity with database design, management, and optimization, including SQL and NoSQL databases.
  • Solid knowledge of security principles and practices for cloud-based environments.
  • Experience in developing visualization tools and interfaces for data analysis.
  • Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a proactive attitude towards identifying and resolving technical challenges.
  • Excellent organizational skills and the ability to manage multiple tasks and priorities in a fast-paced environment.
  • Prior experience with horizontally scalable systems and handling a large number of users is a plus.

Join our dynamic team and contribute to the advancement of our cutting-edge cloud infrastructure that empowers data scientists to drive meaningful insights and innovations. If you are passionate about cloud technologies, data science, and creating impactful solutions, we invite you to apply and be part of our journey.

Strong preference for applicants in the NYC Metro Area. The salary range for positions that will be physically based in the NYC Metro Area is $150,000-185,000.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Medical Technology

SALARY

$112k-141k (estimate)

POST DATE

10/07/2023

EXPIRATION DATE

05/03/2024

WEBSITE

synchronmed.com

HEADQUARTERS

CAMPBELL, CA

SIZE

<25

FOUNDED

2016

TYPE

Private

CEO

MARTIN DIECK

REVENUE

<$5M

INDUSTRY

Medical Technology

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

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