Data Engineer
Share
Job Location:
New York City, NY - USA
Monthly Salary:
$ 80 - 85
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
- Application Deadline: Feb. 28 2026
- New York
- Hybrid
- Hourly salary: $80 - $85
Job Description
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
About Company
About the company SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say ... View more
