Data Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 85 - 90
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
- Application Deadline: Feb. 14 2026
- New York
- Hybrid
- Hourly salary: $85 - $90
Job Description
We are looking for a Data Engineer to join our team with growing requirement of Data & Analytics. The hire will be responsible for building and optimizing our data storage ingestion and consumption architecture to provide a strong base for our data platform. Also they will collaborate with technology partners across the Firm to integrate with new data sources and consumers. Furthermore they will work on a variety of projects around Sales Data Integrations Analytics Digital Marketing Integration Campaign Management Lead Generation Visualization and Advanced Analytics (Artificial Intelligence and Machine Learning). The ideal candidate is an experienced software developer who enjoys optimizing data and analytics systems and building them from the ground up. They must be self-directed and comfortable supporting the needs of multiple systems and projects. Candidates will be expected to be very hands-on and pick up domain knowledge. We focus on solving the problem and not getting tied down by technological choices so it is extremely important that candidates are open to learning & working with technologies that are new for them. We support what we build and the candidate will be responsible for post-production support on a rotation basis.
Responsibilities:
- Build and optimize data pipelines to consume data from various sources transform & model it and then distribute it to multiple consumers.
- Collaborate with technology partners across the Firm to understand and integrate with new data sources and consumers.
- Work with multiple data sources (including structured and unstructured) to create an optimize data cubes for consumption by analytical dashboards and / or downstream systems.
- Identify design and implement improvements / automations for optimizing data processing storage and availability while maintaining scalability etc.
- Develop and support analytics & machine learning projects.
- Support migration of the data platform from on-premises to cloud infrastructure.
- Work with various stakeholders to assist with data & analytics related projects and issues.
Required Skills:
- We are looking for a candidate with 7 years of experience in Data Engineering role who has attained a bachelors or masters degree in computer science computer engineering information technology/systems or another relevant technical field.
- Advanced working knowledge and experience with data modelling data warehousing concepts database design principles query authoring (SQL) and performance optimization.
- A successful history of manipulating transforming processing and extracting value from large disconnected datasets.
- Hands-on programming experience with Python Java or C#.
- Hands-on experience with ETL tools.
- Working knowledge of data transformation processing analysis and machine learning using Python (Pandas NumPy etc.)
- Excellent problem-solving and analytical skills with attention to details.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Excellent communication and collaboration skills.
- Experience with Relational database systems like Sybase SQL Server Postgres etc.
- Experience with object-oriented and/or function scripting languages: Python Java C or Scala etc.
- Experience with ETL tools (Informatica etc.) and frameworks.
- Experience with machine learning / artificial intelligence techniques like regression classification clustering time series text mining large language models etc.
- Advanced working knowledge and experience with data modelling data warehousing concepts database design principles query authoring (SQL) and performance optimization.
- Hands-on programming experience in one language (Python Java or C#).
- Hands-on experience with ETL (Informatica etc.) tools and frameworks.
- Hands-on experience of data transformation processing analysis and machine learning using Python (Pandas NumPy etc.)
Preferred Skills:
- Experience of visualization tools like Tableau QlikView Power BI etc.
- Experience with Cloud technologies like Snowflake Microsoft Azure Databricks etc
- Experience with data-science tools / workbench like Dataiku Jupyter Rapid Miner etc.
- Experience with Big Data tools / technologies: Hadoop Pig Hive Hue PySpark etc.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
