AptivaCorp
Data/Scala/Spark Engineering Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data/Scala/Spark Engineering Specialist in NYC, NY for 12 months at a competitive pay rate. Requires 8-10 years of data engineering experience, proficiency in Scala, Snowflake, ETL tools, and strong data modeling skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
June 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Snowflake #Data Analysis #Spark (Apache Spark) #Data Modeling #Datasets #Databases #ML (Machine Learning) #Data Engineering #"ETL (Extract #Transform #Load)" #REST API #Data Pipeline #Data Science #Tableau #Python #Cloud #API (Application Programming Interface) #SQL (Structured Query Language) #Data Transformations #Informatica #Schema Design #Visualization #Talend #REST (Representational State Transfer) #SQL Queries #Scala
Role description
Position: Data/Scala/Spark Engineering Specialist
Location: NYC, NY Only locals
Duration: 12 Months
We need Data engineering, Scala, Snowflake and Data modeling for this role.
Need only resources who can do scala coding.
Job Description:
8 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required: Account API, Alert API, Artifact Repository API, Catalog Integration API, Cortex Inference API, Database API, Dynamic Table API, Event Table API, Iceberg Table API, Notebook API
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Strong data modelling concepts and schema design on relational data store and on cloud data store
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required
Position: Data/Scala/Spark Engineering Specialist
Location: NYC, NY Only locals
Duration: 12 Months
We need Data engineering, Scala, Snowflake and Data modeling for this role.
Need only resources who can do scala coding.
Job Description:
8 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required: Account API, Alert API, Artifact Repository API, Catalog Integration API, Cortex Inference API, Database API, Dynamic Table API, Event Table API, Iceberg Table API, Notebook API
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Strong data modelling concepts and schema design on relational data store and on cloud data store
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required
