Lead Data Engineer

Talantir; United States; Remote; USD 120,000 - 130,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Vision insurance

Job summary

Expert Technical Solutions is seeking a highly skilled Lead Data Engineer for a premier client in New York, NY. You will architect and deploy large-scale data pipelines, design cloud-based data lakes, and enable real-time insights for FTTP operations.

The role offers a 6-month contract-to-permanent arrangement with remote work, competitive pay, and comprehensive benefits. The ideal candidate has 6+ years of experience, AWS, Python, SQL, and strong communication to bridge technical and business

Qualifications

• Bachelor's Degree in Computer Science, Data Science or a relevant field.
• 6+ years of experience designing, developing, and deploying data solutions in high-growth environments, preferably telecom or broadband-related.
• Deep expertise in cloud platforms (AWS preferred) with hands-on experience in data lakes, warehouse architecture, and pipeline automation.
• Strong programming skills in Python, SQL, and experience with Big Data frameworks (Spark, Hadoop).
• Ability to implement streaming architectures (Kafka) for near real-time insights into network performance and customer behavior.
• Familiarity with LLMs and AI/ML applications, exploring innovative ways to enhance FTTP operations.
• Exceptional communication and stakeholder management skills, able to bridge technical solutions with business impact.
• Comfortable working in a dynamic startup environment, adapting quickly to evolving challenges and opportunities.
• Nice to have exposure to Vetro, Altiplano.
• Telecom industry experience and familiarity with network analytics, customer segmentation, and fiber deployment strategies are highly desirable.

Responsibilities

• Architect and deploy ETL pipelines that efficiently ingest and process large-scale customer, network, and operational data.
• Design cloud-based data solutions tailored for an FTTP environment, optimizing data lakes, warehouses, and marts.
• Build real-time and batch processing pipelines to support network performance monitoring, demand forecasting, and customer analytics.
• Develop reusable components for data transformation, ensuring scalability, resilience, and fault tolerance.
• Collaborate with business and engineering teams to translate complex data needs into actionable solutions, supporting analytics and AI-driven insights.
• Establish strong data governance, security, and quality control measures to maintain integrity and compliance.
• Continuously evaluate emerging technologies, ensuring our data infrastructure remains cutting-edge and cost-effective.

Skills

Communication

Stakeholder management

Startup adaptability

Education

Bachelor's degree in Computer Science or Data Science

Tools

Python

SQL

Kafka

Spark

Hadoop

AWS

Job description

Lead Data Engineer

Expert Technical Solutions is seeking a highly skilled Lead Data Engineer for one of our premier, industry leading clients in New York, NY (10019) This person will play a pivotal role in shaping our client’s data infrastructure, enabling fast, reliable insights that drive strategic decisions in our client’s rapidly growing FTTP business. You will work closely with cross-functional teams, designing and implementing scalable data solutions that empower our operations and customer experience.

This is a 6 Month Contract to Permanent, REMOTE opportunity offering strong pay, excellent benefits, and unlimited growth potential.

Primary Duties and Responsibilities:

• Architect and deploy ETL pipelines that efficiently ingest and process large-scale customer, network, and operational data.
• Design cloud-based data solutions tailored for an FTTP environment, optimizing data lakes, warehouses, and marts.
• Build real-time and batch processing pipelines to support network performance monitoring, demand forecasting, and customer analytics.
• Develop reusable components for data transformation, ensuring scalability, resilience, and fault tolerance.
• Collaborate with business and engineering teams to translate complex data needs into actionable solutions, supporting analytics and AI-driven insights.
• Establish strong data governance, security, and quality control measures to maintain integrity and compliance.
• Continuously evaluate emerging technologies, ensuring our data infrastructure remains cutting-edge and cost-effective.

Required Experience:

• Bachelor's Degree in Computer Science, Data Science or a relevant field
• 6+ years of experience designing, developing, and deploying data solutions in high-growth environments, preferably telecom or broadband-related.
• Deep expertise in cloud platforms (AWS preferred) with hands-on experience in data lakes, warehouse architecture, and pipeline automation.
• Strong programming skills in Python, SQL, and experience with Big Data frameworks (Spark, Hadoop).
• Ability to implement streaming architectures (Kafka) for near real-time insights into network performance and customer behavior.
• Familiarity with LLMs and AI/ML applications, exploring innovative ways to enhance FTTP operations.
• Exceptional communication and stakeholder management skills, able to bridge technical solutions with business impact.
• Comfortable working in a dynamic startup environment, adapting quickly to evolving challenges and opportunities.
• Nice to have exposure to Vetro, Altiplano.
• Telecom industry experience and familiarity with network analytics, customer segmentation, and fiber deployment strategies are highly desirable.

Job Type: Full-time

Pay: $120,000.00 - $130,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Experience:

• AWS: 1 year (Required)
• Big Data: 1 year (Required)
• Kafka: 1 year (Required)
• Telecommunications: 1 year (Preferred)

Work Location: Remote