TPI Global Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Builder) in Montgomery, AL, on a contract-to-hire basis, requiring 5-7 years of data engineering experience, proficiency in SQL Server ETL/ELT, cloud integration, and programming (Python/Scala/Java). Preferred certifications include AWS Certified Data Engineer.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Montgomery, AL
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Docker #Automation #Cloud #Terraform #Python #DevOps #Ansible #SQL (Structured Query Language) #Kafka (Apache Kafka) #Dataflow #Big Data #SQL Server #dbt (data build tool) #ADF (Azure Data Factory) #Programming #Azure Data Factory #Kubernetes #Scala #GCP (Google Cloud Platform) #Observability #Azure #Java #Snowflake #AWS Glue #Data Engineering #Data Modeling #AWS DevOps #Airflow #C++ #Computer Science #AWS (Amazon Web Services)
Role description
Role: Data Engineer (Builder)
Locations: Montgomery, AL (Onsite)
Duration: Contract to Hire
Visa: USC or GC Only
Experience Needed
• 5–7 years in data engineering or database development.
• Hands‑on experience with SQL Server ETL/ELT pipelines.
• Experience integrating pipelines with cloud services (AWS Glue, Azure Data Factory, GCP Dataflow).
• Familiarity with streaming technologies (Kafka, Kinesis).
• Experience in data modeling and architecture design.
• Proficiency in Python/Scala/Java programming for pipeline development.
• Exposure to DevOps automation (Terraform, Ansible) and containerization (Docker, Kubernetes).
• DevOps and automation maturity with certifications (HashiCorp Terraform Associate, AWS DevOps Engineer) and containerization (Docker, Kubernetes).
• Preferred: Advanced programming depth with applied coursework or certifications (Python Institute PCPP, Scala Professional Certification).
• Preferred: Data modeling specialization with advanced coursework or vendor‑specific training (Snowflake, AWS Big Data Specialty).
Education
• Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
Certifications (Preferred)
• AWS Certified Data Engineer
• Azure Data Engineer Associate
• Google Professional Data Engineer
Software Use
• SQL Server (ETL/ELT pipelines, stored procedures).
• Orchestration tools (Airflow, DBT).
• Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow).
• Observability tools (OpenLineage, Monte Carlo).
• DevOps automation tools (Terraform, Ansible).
• Containerization platforms (Docker, Kubernetes).
Role: Data Engineer (Builder)
Locations: Montgomery, AL (Onsite)
Duration: Contract to Hire
Visa: USC or GC Only
Experience Needed
• 5–7 years in data engineering or database development.
• Hands‑on experience with SQL Server ETL/ELT pipelines.
• Experience integrating pipelines with cloud services (AWS Glue, Azure Data Factory, GCP Dataflow).
• Familiarity with streaming technologies (Kafka, Kinesis).
• Experience in data modeling and architecture design.
• Proficiency in Python/Scala/Java programming for pipeline development.
• Exposure to DevOps automation (Terraform, Ansible) and containerization (Docker, Kubernetes).
• DevOps and automation maturity with certifications (HashiCorp Terraform Associate, AWS DevOps Engineer) and containerization (Docker, Kubernetes).
• Preferred: Advanced programming depth with applied coursework or certifications (Python Institute PCPP, Scala Professional Certification).
• Preferred: Data modeling specialization with advanced coursework or vendor‑specific training (Snowflake, AWS Big Data Specialty).
Education
• Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
Certifications (Preferred)
• AWS Certified Data Engineer
• Azure Data Engineer Associate
• Google Professional Data Engineer
Software Use
• SQL Server (ETL/ELT pipelines, stored procedures).
• Orchestration tools (Airflow, DBT).
• Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow).
• Observability tools (OpenLineage, Monte Carlo).
• DevOps automation tools (Terraform, Ansible).
• Containerization platforms (Docker, Kubernetes).
