EROS Technologies Inc
W2 Role :: Lead Data Engineer/Architect :: NYC, NY
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Lead Data Engineer/Architect in NYC, NY, on a contract basis. Requires 15+ years in IT, 10+ years in data warehousing, proficiency in Snowflake and Spark, and strong communication skills. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 14, 2026
🕒 - 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, NY
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🧠 - Skills detailed
#Data Pipeline #"ETL (Extract #Transform #Load)" #Data Warehouse #Leadership #Snowflake #GIT #Data Governance #SQL (Structured Query Language) #SQL Queries #Documentation #SQL Server #Compliance #Data Architecture #Data Processing #Jira #Data Integrity #Data Modeling #Data Privacy #Spark (Apache Spark) #Datasets #Data Engineering #Security #Cloud #Agile #Deployment
Role description
Role: Lead Data Engineer
Location: NYC, NY (Onsite)
Type: Contract
Key Responsibilities.
Data Warehouse Management: Maintain and optimize the SQL Server data warehouse, ensuring performance, reliability, and data integrity.
Process Optimization: Identify and implement enhancements to ETL processes, data pipelines, and operational workflows.
Technical Leadership: Serve as the technical lead for data engineering initiatives, collaborating with Product Owners, Managers, and agile teams to deliver on sprint and program objectives.
Project Delivery: Oversee all aspects of data engineering activities, including design, development, testing, documentation, deployment, and production support.
Stakeholder Collaboration: Work closely with business and technology teams to understand requirements and deliver effective data solutions.
Standards & Compliance: Ensure adherence to data governance, security policies, and best practices across all data engineering activities.
Continuous Improvement: Stay up to date with technology changes, particularly in cloud platforms and data privacy.
Experience: 15+ years of IT experience with a focus on hands-on development and data architecture.
Technical Skills: Proficient in data modeling, pipeline creation, and merging datasets.
Client-Facing: Experienced in leading client engagements and translating technical concepts to non-technical stakeholders.
Data Warehousing: 10+ years of real-world data warehousing project experience, with a deep understanding of architectural principles and design patterns.
Snowflake & Spark: Strong hands-on experience with Snowflake for data warehousing and Spark for data processing.
ETL/ELT Workflow Design: Proven experience in designing efficient and robust ETL/ELT workflows and job scheduling.
Performance Tuning: Expertise in performance tuning of SQL queries and Spark jobs. -Tool Proficiency: Experience with Git, Jira, and Agile methodologies.
Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Analytical Skills: Excellent analytical and problem-solving abilities, with a self-driven attitude and the capability to work both independently and as part of a team.
Soft Skills: Strong attention to detail, collaborative mindset, and curiosity.
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Role: Lead Data Engineer
Location: NYC, NY (Onsite)
Type: Contract
Key Responsibilities.
Data Warehouse Management: Maintain and optimize the SQL Server data warehouse, ensuring performance, reliability, and data integrity.
Process Optimization: Identify and implement enhancements to ETL processes, data pipelines, and operational workflows.
Technical Leadership: Serve as the technical lead for data engineering initiatives, collaborating with Product Owners, Managers, and agile teams to deliver on sprint and program objectives.
Project Delivery: Oversee all aspects of data engineering activities, including design, development, testing, documentation, deployment, and production support.
Stakeholder Collaboration: Work closely with business and technology teams to understand requirements and deliver effective data solutions.
Standards & Compliance: Ensure adherence to data governance, security policies, and best practices across all data engineering activities.
Continuous Improvement: Stay up to date with technology changes, particularly in cloud platforms and data privacy.
Experience: 15+ years of IT experience with a focus on hands-on development and data architecture.
Technical Skills: Proficient in data modeling, pipeline creation, and merging datasets.
Client-Facing: Experienced in leading client engagements and translating technical concepts to non-technical stakeholders.
Data Warehousing: 10+ years of real-world data warehousing project experience, with a deep understanding of architectural principles and design patterns.
Snowflake & Spark: Strong hands-on experience with Snowflake for data warehousing and Spark for data processing.
ETL/ELT Workflow Design: Proven experience in designing efficient and robust ETL/ELT workflows and job scheduling.
Performance Tuning: Expertise in performance tuning of SQL queries and Spark jobs. -Tool Proficiency: Experience with Git, Jira, and Agile methodologies.
Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Analytical Skills: Excellent analytical and problem-solving abilities, with a self-driven attitude and the capability to work both independently and as part of a team.
Soft Skills: Strong attention to detail, collaborative mindset, and curiosity.
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