256 Data Engineer Jobs in New York, NY
Rearc is Hiring a Data Engineer Near New York, NY
We look for team members who value ownership and freedom with outstanding leadership abilities and expertise in their field.
About The RoleAs a Data Engineer at Rearc, you will play a pivotal role in architecting, building, and maintaining data infrastructure and pipelines. Collaborating with both internal teams and clients, you will ensure efficient data processing, storage, and accessibility while adhering to industry best practices and security standards.
We are building a team of knowledgeable and competent data engineers that build best-in-class solutions to help our customers realize the full potential of data in their business. We use cloud-native architectures and modern data engineering practices to help data engineers, data scientists, and business analysts realize their full potential.
What You'll Do
- Evaluate clients' existing data infrastructure and provide recommendations for improvements in areas such as scalability, reliability, and performance.
- Design, implement, and maintain data pipelines to ingest, transform, and load data into various data stores and warehouses.
- Develop and optimize data models to support analytics, reporting, and machine learning applications.
- Design, implement, and maintain data pipelines to ingest, transform, and load data into various data stores and warehouses, leveraging Databricks and Apache Spark technologies.
- Implement and enforce data governance policies and procedures to ensure data integrity, privacy, and compliance with regulatory requirements.
- Stay abreast of emerging technologies and trends in data engineering and share knowledge with colleagues and clients.
- Strong proficiency in data processing concepts and technologies, including data warehousing, ETL/ELT, data modeling, and SQL.
- Experience with programming languages commonly used in data engineering, such as Python, Scala, or Java.
- Familiarity with cloud platforms like AWS, GCP, or Azure, and their respective data services (e.g., AWS Glue, GCP Dataflow, Azure Data Factory).
- Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
- Ability to work collaboratively in a team environment, with excellent communication and interpersonal skills.
- Comfortable with remote communication and collaboration tools, including video conferencing.
- Proficiency in English, both written and verbal.
- Experience with distributed computing frameworks like Apache Spark or Apache Flink.
- Knowledge of containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms.
- Background in software development or data science.
- Certifications in relevant technologies or cloud platforms.
Benefits And PerksHealth Benefits
Generous time away
Maternity and Paternity leave
Educational resources and reimbursements
401(k) plan with a company contribution
Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.The Pay Range For This Role Is100,000 - 140,000 USD per year(NomadWorks: Virtual Office)
Job Summary
Full Time
$133k-164k (estimate)
05/21/2024
06/19/2024
The job skills required for Data Engineer include Python, Data Engineering, AWS, Big Data, Machine Learning, Azure, 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.
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.
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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.
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.
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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.
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