Brooksource
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is located in "unknown." Key skills include SQL, ETL/ELT tools, Python, and cloud platforms. Requires a Bachelor's degree and 3+ years of relevant experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 28, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Georgia, United States
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🧠 - Skills detailed
#Programming #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Analysis #Cloud #Docker #Kubernetes #Snowflake #Java #AWS Glue #Data Lake #SQL (Structured Query Language) #Data Security #Data Governance #Apache Airflow #Compliance #PostgreSQL #Security #Scala #dbt (data build tool) #GCP (Google Cloud Platform) #Redshift #Data Processing #Spark (Apache Spark) #Data Architecture #Data Pipeline #Azure #MongoDB #Informatica #Computer Science #BigQuery #Documentation #Data Science #Data Engineering #Data Quality #Python #Data Modeling #ML (Machine Learning) #Airflow #AWS (Amazon Web Services) #Databases #NoSQL #Kafka (Apache Kafka)
Role description
Overview
We are seeking a skilled Data Engineer to design, build, and optimize data pipelines and architectures that enable analytics, reporting, and data-driven decision-making across the organization. The ideal candidate is passionate about data, has strong engineering fundamentals, and enjoys solving complex data challenges in a fast-paced environment.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT data pipelines and integrations across multiple data sources and systems.
• Build and optimize data architectures (data lakes, warehouses, and pipelines) to support business intelligence, analytics, and machine learning use cases.
• Collaborate with data analysts, scientists, and business stakeholders to understand data needs and ensure high data quality and availability.
• Implement best practices for data governance, security, and compliance.
• Monitor and troubleshoot data pipelines for performance, reliability, and accuracy.
• Automate workflows and improve efficiency of data processing and delivery.
• Maintain documentation for data models, data flows, and systems.
Required Qualifications
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 3+ years of experience in data engineering, data warehousing, or software engineering roles.
• Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, Snowflake, BigQuery, Redshift, MongoDB).
• Strong experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, dbt, Informatica, or AWS Glue).
• Programming skills in Python, Scala, or Java.
• Experience with cloud data platforms (AWS, Azure, GCP).
• Understanding of data modeling, data governance, and data security best practices.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Exposure to CI/CD practices for data pipelines.
• Experience supporting data science and machine learning workflows.
Overview
We are seeking a skilled Data Engineer to design, build, and optimize data pipelines and architectures that enable analytics, reporting, and data-driven decision-making across the organization. The ideal candidate is passionate about data, has strong engineering fundamentals, and enjoys solving complex data challenges in a fast-paced environment.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT data pipelines and integrations across multiple data sources and systems.
• Build and optimize data architectures (data lakes, warehouses, and pipelines) to support business intelligence, analytics, and machine learning use cases.
• Collaborate with data analysts, scientists, and business stakeholders to understand data needs and ensure high data quality and availability.
• Implement best practices for data governance, security, and compliance.
• Monitor and troubleshoot data pipelines for performance, reliability, and accuracy.
• Automate workflows and improve efficiency of data processing and delivery.
• Maintain documentation for data models, data flows, and systems.
Required Qualifications
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 3+ years of experience in data engineering, data warehousing, or software engineering roles.
• Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, Snowflake, BigQuery, Redshift, MongoDB).
• Strong experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, dbt, Informatica, or AWS Glue).
• Programming skills in Python, Scala, or Java.
• Experience with cloud data platforms (AWS, Azure, GCP).
• Understanding of data modeling, data governance, and data security best practices.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Exposure to CI/CD practices for data pipelines.
• Experience supporting data science and machine learning workflows.
