

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Indiana, United States
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π§ - Skills detailed
#Data Warehouse #Scala #SQL (Structured Query Language) #Data Modeling #Python #Data Manipulation #Data Lake #Big Data #dbt (data build tool) #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Security #Data Engineering #Cloud #SQL Queries #Data Quality #Data Pipeline
Role description
Role: Sr. Data Engineer
Location: Indiana, United States
Duration: Long Term Contract
About the Role
We are seeking a highly skilled Senior Data Engineer with extensive experience in Big Data technologies to join our team. The ideal candidate will have a proven track record of designing, developing, and maintaining large-scale data solutions (100+ TB) and driving modern data engineering practices.
Key Responsibilities
β’ Design, build, and maintain scalable and efficient data pipelines and ETL processes.
β’ Develop and optimize SQL queries for large-scale data manipulation.
β’ Build and maintain data models, data dictionaries, and ERDs for enterprise data systems.
β’ Collaborate with cross-functional teams to implement data solutions on Google Cloud Platform (GCP).
β’ Leverage DBT (Data Build Tool) to transform and model data.
β’ Ensure data quality, governance, and security best practices across the data ecosystem.
β’ Stay up-to-date with modern data technologies and recommend improvements to existing data infrastructure.
Required Qualifications
β’ 12+ years of hands-on experience as a Data Engineer in large-scale data environments.
β’ Strong proficiency in SQL and Python.
β’ Expertise in designing and maintaining ERDs (Entity Relationship Diagrams).
β’ Hands-on experience with Google Cloud Platform (GCP) data services.
β’ Proven experience with DBT (Data Build Tool) for data modeling and transformation.
β’ Solid understanding of modern data technologies and architectures (Data Lakes, Data Warehouses, ELT/ETL frameworks, streaming pipelines, etc.).
β’ Excellent problem-solving, communication, and collaboration skills.
Role: Sr. Data Engineer
Location: Indiana, United States
Duration: Long Term Contract
About the Role
We are seeking a highly skilled Senior Data Engineer with extensive experience in Big Data technologies to join our team. The ideal candidate will have a proven track record of designing, developing, and maintaining large-scale data solutions (100+ TB) and driving modern data engineering practices.
Key Responsibilities
β’ Design, build, and maintain scalable and efficient data pipelines and ETL processes.
β’ Develop and optimize SQL queries for large-scale data manipulation.
β’ Build and maintain data models, data dictionaries, and ERDs for enterprise data systems.
β’ Collaborate with cross-functional teams to implement data solutions on Google Cloud Platform (GCP).
β’ Leverage DBT (Data Build Tool) to transform and model data.
β’ Ensure data quality, governance, and security best practices across the data ecosystem.
β’ Stay up-to-date with modern data technologies and recommend improvements to existing data infrastructure.
Required Qualifications
β’ 12+ years of hands-on experience as a Data Engineer in large-scale data environments.
β’ Strong proficiency in SQL and Python.
β’ Expertise in designing and maintaining ERDs (Entity Relationship Diagrams).
β’ Hands-on experience with Google Cloud Platform (GCP) data services.
β’ Proven experience with DBT (Data Build Tool) for data modeling and transformation.
β’ Solid understanding of modern data technologies and architectures (Data Lakes, Data Warehouses, ELT/ETL frameworks, streaming pipelines, etc.).
β’ Excellent problem-solving, communication, and collaboration skills.