186 Data Engineer Jobs in New York, NY
Hello Heart is Hiring a Data Engineer Near New York, NY
Our Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.
In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role is based in the New York City Metropolitan Area and is a hybrid role working at least two days per week in our NYC office.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
The ideal candidate will be:
- A technology enthusiast – who loves data and get shiver excitement from tech innovations
- Desire to know how things work and a greater desire to improve them
- Intellectual curiosity to find unusual ways to solve problems
- Comfortable taking on challenges and learning new technologies
- Comfortable working in a fast-paced dynamic environment
Qualifications:
- Bachelor’s Degree in Computer Science or related field
- 4 years experience of designing and implementing server-side Data solutions
- Proven experience in creating and optimizing big data processes, pipelines and architectures
- Proven experience with AWS ecosystem
- Proven experience with Kubernetes in Production
- Experience with at least one high-level system language (e.g. Python, Scala)
- Experience working on production grade projects
- Familiarity with Python
- Familiarity with Apache Airflow - Advantage
- Familiarity with distributed systems and technologies (Spark, Hadoop, MapReduce) - Advantage
The US base salary range for this full-time position is $97,935 to $171,816. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Job Summary
Full Time
$104k-128k (estimate)
02/07/2024
05/03/2024
helloheart.com
MENLO PARK, CA
50 - 100
2013
Private
ALLAN JOHNSTON
$5M - $10M
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About Hello Heart
Hello Heart is a California-based health-tech platform that provides blood pressure monitoring, clinical coaching and related solutions for individuals and corporates.
The job skills required for Data Engineer include Python, AWS, Big Data, Computer Science, Data Quality, Innovation, 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.
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.
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.
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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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