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Data Engineer
StreetID New York, NY
$134k-165k (estimate)
Full Time | IT Outsourcing & Consulting 2 Days Ago
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StreetID is Hiring a Data Engineer Near New York, NY

We are looking for an experienced Market Data Engineer to join our team. The ideal candidate will have a strong background in Python, cloud technologies, and extensive experience working with tick data and building robust tick data pipelines. The role involves designing, implementing, and maintaining our market data processing systems, ensuring high availability, performance, and scalability.

RESPONSIBILITIES

• Design and develop high-performance tick data pipelines to process and analyze large volumes of financial market data.

• Work with timeseries databases (e.g., KDB, OneTick) to store, query, and manage tick data efficiently.

• Utilize cloud technologies to optimize data processing and storage solutions.

• Collaborate with other engineers and trading teams to define data requirements and integrate market data into our products and services.

• Ensure data quality and integrity by implementing robust data validation and error handling mechanisms.

• Continuously improve data processing latency and throughput to meet the needs of high-frequency trading environments.

• Develop and maintain documentation for data pipelines and architectures.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4 years of experience in software engineering with a focus on market data.

• Proficient in Python familiar with cloud platforms (AWS, GCP, Azure).

• Experience with Kubernetes and containerization.

• Demonstrated experience with tick data and building tick data pipelines.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.

• Experience working with timeseries databases (e.g., KDB, OneTick) and C is a plus.

• Experience with financial markets and trading concepts is a plus.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$134k-165k (estimate)

POST DATE

06/27/2024

EXPIRATION DATE

06/23/2025

WEBSITE

streetid.com

HEADQUARTERS

Brooklyn, NY

SIZE

25 - 50

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Data Engineer include Python, AWS, Computer Science, Azure, Data Quality, Data Processing, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, 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. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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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.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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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.

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Oil changes are an essential component of preventative maintenance.

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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.

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Consider pursuing additional professional engineering or big data certifications.

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

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