352 Data Engineer Jobs in New York, NY
Augment Jobs is Hiring a Data Engineer Near New York, NY
Roles And Responsibilities
- Data Pipeline Development:
- Design, build, and maintain robust and scalable data pipelines to collect, process, and store structured and unstructured data from multiple sources.
- Implement ETL processes to extract data from various systems, transform it into a usable format, and load it into data warehouses or data lakes.
- Optimize data pipeline performance for efficiency, reliability, and data quality using best practices and appropriate technologies.
- Data Modeling and Architecture:
- Design and implement data models, schemas, and database structures to support data storage, retrieval, and analysis.
- Develop and maintain data architecture standards and guidelines to ensure consistency, scalability, and security of data solutions.
- Evaluate and recommend database technologies, tools, and frameworks based on project requirements and data management best practices.
- Data Integration and Transformation:
- Integrate data from disparate sources and systems, ensuring compatibility, consistency, and data integrity throughout the process.
- Transform and cleanse data as needed to support analytics, reporting, and data visualization requirements.
- Implement data quality checks and monitoring to proactively identify and resolve data issues or anomalies.
- Cloud Platform Management:
- Deploy and manage data infrastructure on cloud platforms (e.g., AWS, Azure, Google Cloud), including setting up virtual machines, containers, and serverless computing environments.
- Utilize cloud-based services for data storage, compute, and analytics (e.g., S3, Redshift, BigQuery) to optimize data processing and storage costs.
- Implement security measures and access controls to protect sensitive data and ensure compliance with data privacy regulations.
- Collaboration and Documentation:
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver data-driven solutions.
- Document data engineering processes, workflows, and technical specifications to facilitate knowledge sharing and support ongoing maintenance.
- Provide technical guidance and mentorship to junior team members, promoting best practices in data engineering and development.
- Competitive base salary commensurate with experience and qualifications.
- Performance-based bonuses or incentives tied to project delivery, data pipeline performance, and business impact.
- Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.
- Potential for career growth and advancement within the organization based on performance and contributions.
Job Summary
Full Time
$134k-165k (estimate)
06/27/2024
12/22/2024
The job skills required for Data Engineer include Data Engineering, AWS, Data Warehouse, Azure, Data Modeling, Data Quality, 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.
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.
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