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About Clear Street:
At Clear Street, we are disrupting the institutional brokerage and clearing market by modernizing archaic industry segments with brand new technology. We’re changing the way institutional investors interact with the markets; offering an alternative to working with big banks. Our cloud-based API technology will empower clients to clear, settle, and finance trading activity while accessing real-time risk and position information. Our platform is built on an incredibly modern tech-stack, by pragmatic engineers focused on building intuitive and frictionless user experiences. Our tech-infused suite of customer experience-oriented prime service offerings will increase our clients’ efficiency and provide real-time insights they’ve never previously experienced.
The Team:
As an experienced Data Engineer on our Data Infrastructure team, you will play an integral role in the design and execution of our shared data tooling and infrastructure. You’ll work horizontally across the engineering organization to determine what data pipeline problems people have, how they are solving them, and how those solutions could generalize across the firm. You will create reusable data platform elements and tools that improve the way engineering teams transform data. You will partner with others across the organization to understand complex data-related issues and seek effective compromises. As a voice of experience in the team, you will help mentor teammates, evolve our technical standards and best practices, and further our culture of system designs and data pipeline architecture.
Requirements:
Data Infrastructure Team Stack: Python, Snowflake, Argo, Kafka, Docker, Kubernetes
We offer:
Full Time
07/10/2022
11/06/2022
clearstreet.io
New York, NY
<25
The following is the career advancement route for Data Engineer (Mid/Senior Level) positions, which can be used as a reference in future career path planning. As a Data Engineer (Mid/Senior Level), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (Mid/Senior Level). You can explore the career advancement for a Data Engineer (Mid/Senior Level) below and select your interested title to get hiring information.
If you are interested in becoming a 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 Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
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 Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.