Big Data Lead Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Lead Engineer in Denver, CO, on a contract/full-time basis for over 6 months, with a pay rate of "X". Key skills include AWS, SQL, and leadership in Big Data projects, requiring hands-on experience with big data technologies and offshore team coordination.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 5, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#Security #Snowflake #Leadership #Big Data #Agile #SQL (Structured Query Language) #Deployment #Redshift #Microservices #Oracle #API (Application Programming Interface) #AWS (Amazon Web Services) #Cloud #Quality Assurance #Data Lake #Lambda (AWS Lambda) #Data Engineering #Data Pipeline #Scala #Teradata
Role description
Title: Bigdata Lead Engineer
Location: Denver, CO (Onsite)
Type: Contract/Full Time (Both)
About the Role:
We are seeking a Bigdata Lead to lead and manage customer engagements for strategic projects like Big Data Engineering. This role requires an experienced professional who has hand on experience with bigdata technologies (75%) as well as who can coordinate offshore operations, oversee quality control, and ensure smooth project execution. (25%)
The ideal candidate will have a strong technical background with hands on experience in Big Data, Cloud Platforms (AWS), and Agile methodologies, with proven experience in customer-facing roles, leadership, and offshore team coordination.
Must have hands on experience working with bigdata technologies -
AWS - EMR, Glue, Lambda.
Snowflake OR redshift OR Teradata OR Oracle
20% on writing SQL.
Lead and oversee Big Data and API integration solutions, ensuring scalability, security, and performance.
Guide the design, implementation, and deployment of big data pipelines, analytics platforms.
Work with cross-functional teams (Data Engineers, API Developers, Cloud Architects) to develop best-in-class solutions.
Ensure seamless integration across distributed systems, data lakes, and microservices architectures.
Offshore Coordination & Operations Management
Act as a bridge between onsite and offshore teams, ensuring seamless collaboration.
Drive operational excellence, optimize processes, and eliminate inefficiencies.
Establish and enforce best practices, coding standards, and quality assurance measures.
Ensure offshore teams meet deadlines, maintain high productivity, and resolve blockers proactively
Title: Bigdata Lead Engineer
Location: Denver, CO (Onsite)
Type: Contract/Full Time (Both)
About the Role:
We are seeking a Bigdata Lead to lead and manage customer engagements for strategic projects like Big Data Engineering. This role requires an experienced professional who has hand on experience with bigdata technologies (75%) as well as who can coordinate offshore operations, oversee quality control, and ensure smooth project execution. (25%)
The ideal candidate will have a strong technical background with hands on experience in Big Data, Cloud Platforms (AWS), and Agile methodologies, with proven experience in customer-facing roles, leadership, and offshore team coordination.
Must have hands on experience working with bigdata technologies -
AWS - EMR, Glue, Lambda.
Snowflake OR redshift OR Teradata OR Oracle
20% on writing SQL.
Lead and oversee Big Data and API integration solutions, ensuring scalability, security, and performance.
Guide the design, implementation, and deployment of big data pipelines, analytics platforms.
Work with cross-functional teams (Data Engineers, API Developers, Cloud Architects) to develop best-in-class solutions.
Ensure seamless integration across distributed systems, data lakes, and microservices architectures.
Offshore Coordination & Operations Management
Act as a bridge between onsite and offshore teams, ensuring seamless collaboration.
Drive operational excellence, optimize processes, and eliminate inefficiencies.
Establish and enforce best practices, coding standards, and quality assurance measures.
Ensure offshore teams meet deadlines, maintain high productivity, and resolve blockers proactively
