C&G Consulting Services, Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Horizon Core Banking knowledge, requiring 3+ years of experience, proficiency in Databricks, SQL, and Python. Contract length is unspecified, onsite work in New York City, and candidates must be Green Card holders or US citizens.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Data Science #Scala #Data Governance #Data Security #Spark (Apache Spark) #Cloud #Azure #Data Cleansing #SQL (Structured Query Language) #Storage #Data Integrity #Data Management #Security #Databricks #Data Pipeline #Python #Data Processing #"ETL (Extract #Transform #Load)" #Compliance #Computer Science #Data Engineering #Data Architecture #Datasets
Role description
This is a contract to hire role. Must be willing to go onsite 5 days a week in New York City. Must be local to New York city. MUST BE A GREEN CARD HOLDER OR US CITIZEN. Client will not sponsor a visa. DO NOT APPLY if you do not meet these requirements. Thank you
Must Have Horizon Core Banking Knowledge
Job Description:
We are looking for an experienced and highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics and data-driven decision-making across the organization.
Essential Job Functions:
1. Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and integration from various sources.
1. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
1. Implement best practices for data management, storage, and retrieval, focusing on optimizing performance and ensuring data integrity.
1. Work with large datasets and perform data cleansing, transformation, and aggregation to support analytics and reporting functions.
1. Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
1. Stay updated with the latest advancements in data engineering and Databricks technologies to continuously improve our data infrastructure.
1. Document data processes and workflows, ensuring transparency and knowledge sharing across the team.
1. Ensure data security and compliance with regulatory requirements and industry best practices.
1. Perform other duties as directed.
Knowledge, Skills and Experience Requirements:
1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience
1. 3+ years of experience as a Data Engineer, preferred proven expertise in using Databricks.
1. Strong proficiency in data processing tools and languages such as SQL, Python, and Spark.
1. Experience with cloud platforms, particularly Azure, and integration with Databricks.
1. Understanding of data architecture principles and experience with ETL tools and methodologies.
1. Excellent problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.
1. Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
This is a contract to hire role. Must be willing to go onsite 5 days a week in New York City. Must be local to New York city. MUST BE A GREEN CARD HOLDER OR US CITIZEN. Client will not sponsor a visa. DO NOT APPLY if you do not meet these requirements. Thank you
Must Have Horizon Core Banking Knowledge
Job Description:
We are looking for an experienced and highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics and data-driven decision-making across the organization.
Essential Job Functions:
1. Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and integration from various sources.
1. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
1. Implement best practices for data management, storage, and retrieval, focusing on optimizing performance and ensuring data integrity.
1. Work with large datasets and perform data cleansing, transformation, and aggregation to support analytics and reporting functions.
1. Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
1. Stay updated with the latest advancements in data engineering and Databricks technologies to continuously improve our data infrastructure.
1. Document data processes and workflows, ensuring transparency and knowledge sharing across the team.
1. Ensure data security and compliance with regulatory requirements and industry best practices.
1. Perform other duties as directed.
Knowledge, Skills and Experience Requirements:
1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience
1. 3+ years of experience as a Data Engineer, preferred proven expertise in using Databricks.
1. Strong proficiency in data processing tools and languages such as SQL, Python, and Spark.
1. Experience with cloud platforms, particularly Azure, and integration with Databricks.
1. Understanding of data architecture principles and experience with ETL tools and methodologies.
1. Excellent problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.
1. Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
