Digitive
Data Engineering Tech Lead (Contract-to-Hire)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Tech Lead (Contract-to-Hire) in a hybrid location (Houston), offering a competitive pay rate. Candidates must have 8+ years of data engineering experience, strong AWS skills, and a background in supply chain data.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Observability #Python #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Data Architecture #Monitoring #Batch #Data Quality #Lambda (AWS Lambda) #Data Access #BigQuery #dbt (data build tool) #Deployment #Database Performance #Scala #Aurora #Data Modeling #Data Engineering #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Redshift #Kafka (Apache Kafka) #Data Pipeline
Role description
Role: Data Engineering Tech Lead (Contract-to-Hire)
Location: Hybrid (Houston )
Role Summary
We are seeking a hands-on Data Engineering Tech Lead to strengthen and modernize our Data Platform supporting outbound supply chain analytics and real-time data flows.
This role will lead technical design, elevate engineering standards, and improve platform reliability, performance, and scalability across batch and near real-time workloads.
The ideal candidate combines strong architectural thinking with deep hands-on engineering experience and a passion for building stable, high-quality data systems.
Key Responsibilities
· Lead design and development of scalable data pipelines (batch and near real-time) using AWS technologies
· Establish and enforce data architecture standards, modeling best practices, and engineering guardrails
· Drive improvements in platform stability, monitoring, observability, and alerting
· Improve CI/CD practices and automate deployment processes for data workloads
· Optimize Redshift and database performance, including cost and workload management
· Strengthen data quality controls, validation logic, and governance practices
· Review code, mentor engineers, and raise overall technical standards across the team
· Support modernization efforts, including refactoring legacy ETL workflows
· Collaborate with cross-functional teams to ensure reliable and secure data access
Required Skills
· 8+ years in Data Engineering
· Strong hands-on experience with:
o AWS (Redshift, Aurora Postgres, S3, Lambda)
o SQL performance tuning
o Python-based ETL
o Data modeling (operational + analytical)
· Experience implementing CI/CD for data platforms
· Strong understanding of observability and monitoring frameworks
· Experience working with cross-functional architecture teams
Preferred
· Kafka / streaming exposure
· dbt experience
· GCP BigQuery/Streams
· Experience modernizing legacy ETL systems
· Exposure to supply chain/transportation data
· Experience leading offshore teams
Role: Data Engineering Tech Lead (Contract-to-Hire)
Location: Hybrid (Houston )
Role Summary
We are seeking a hands-on Data Engineering Tech Lead to strengthen and modernize our Data Platform supporting outbound supply chain analytics and real-time data flows.
This role will lead technical design, elevate engineering standards, and improve platform reliability, performance, and scalability across batch and near real-time workloads.
The ideal candidate combines strong architectural thinking with deep hands-on engineering experience and a passion for building stable, high-quality data systems.
Key Responsibilities
· Lead design and development of scalable data pipelines (batch and near real-time) using AWS technologies
· Establish and enforce data architecture standards, modeling best practices, and engineering guardrails
· Drive improvements in platform stability, monitoring, observability, and alerting
· Improve CI/CD practices and automate deployment processes for data workloads
· Optimize Redshift and database performance, including cost and workload management
· Strengthen data quality controls, validation logic, and governance practices
· Review code, mentor engineers, and raise overall technical standards across the team
· Support modernization efforts, including refactoring legacy ETL workflows
· Collaborate with cross-functional teams to ensure reliable and secure data access
Required Skills
· 8+ years in Data Engineering
· Strong hands-on experience with:
o AWS (Redshift, Aurora Postgres, S3, Lambda)
o SQL performance tuning
o Python-based ETL
o Data modeling (operational + analytical)
· Experience implementing CI/CD for data platforms
· Strong understanding of observability and monitoring frameworks
· Experience working with cross-functional architecture teams
Preferred
· Kafka / streaming exposure
· dbt experience
· GCP BigQuery/Streams
· Experience modernizing legacy ETL systems
· Exposure to supply chain/transportation data
· Experience leading offshore teams
