Aptonet Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Atlanta, GA (Hybrid) with a contract length of "unknown" and a pay rate of "competitive." Key skills include 3+ years in data engineering, strong SQL, ETL/ELT tools, Python, and cloud platforms (AWS/GCP/Azure).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta Metropolitan Area
-
🧠 - Skills detailed
#ML (Machine Learning) #Snowflake #Scala #SQL (Structured Query Language) #Strategy #Kafka (Apache Kafka) #Scripting #GCP (Google Cloud Platform) #Airflow #Data Access #"ETL (Extract #Transform #Load)" #BigQuery #Python #Redshift #Cloud #Data Science #Data Quality #dbt (data build tool) #Monitoring #AWS (Amazon Web Services) #Azure #Data Engineering #Data Strategy #Data Warehouse #DevOps #Data Modeling
Role description
Data Engineer
Location: Atlanta, GA (Hybrid)
Work Authorization: Must be authorized to work in the U.S. (sponsorship not available)
About the Role
We’re looking for a Data Engineer to join our team in Atlanta. If you love building scalable data systems, optimizing pipelines, and enabling data-driven decisions, you’ll feel right at home here. This role collaborates closely with engineering, analytics, and business stakeholders to turn raw data into meaningful, trusted insights.
What You’ll Do
• Design, build, and maintain scalable ETL/ELT pipelines and data workflows
• Develop and optimize data models to support analytics and applications
• Work with internal teams to understand data requirements and deliver reliable solutions
• Ensure data quality, integrity, and governance across systems
• Build tools to automate data delivery and monitoring
• Support cloud-based data infrastructure and pipelines (AWS/GCP/Azure)
• Partner with analysts and data scientists to enhance data accessibility and performance
What You Bring
• 3+ years of professional experience in data engineering or a similar role
• Strong SQL skills and experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.)
• Experience with ETL/ELT tools and frameworks (dbt, Airflow, etc.)
• Python expertise (or similar scripting language)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Solid understanding of data modeling, warehousing concepts, and distributed systems
• Strong problem-solving skills and a proactive, collaborative mindset
Nice-to-Have
• Experience supporting real-time data streaming (Kafka, Kinesis, etc.)
• Experience with CI/CD and DevOps tooling
• Exposure to machine learning pipelines or MLOps environments
Why Join
• Meaningful work with a growing team
• Opportunity to influence architecture and data strategy
• Collaborative, supportive culture
• Competitive pay + benefits
If you want, I can make variations:
• more corporate
• more startup-fun energy
• more senior-level
• one tailored for LinkedIn vs Indeed
Data Engineer
Location: Atlanta, GA (Hybrid)
Work Authorization: Must be authorized to work in the U.S. (sponsorship not available)
About the Role
We’re looking for a Data Engineer to join our team in Atlanta. If you love building scalable data systems, optimizing pipelines, and enabling data-driven decisions, you’ll feel right at home here. This role collaborates closely with engineering, analytics, and business stakeholders to turn raw data into meaningful, trusted insights.
What You’ll Do
• Design, build, and maintain scalable ETL/ELT pipelines and data workflows
• Develop and optimize data models to support analytics and applications
• Work with internal teams to understand data requirements and deliver reliable solutions
• Ensure data quality, integrity, and governance across systems
• Build tools to automate data delivery and monitoring
• Support cloud-based data infrastructure and pipelines (AWS/GCP/Azure)
• Partner with analysts and data scientists to enhance data accessibility and performance
What You Bring
• 3+ years of professional experience in data engineering or a similar role
• Strong SQL skills and experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.)
• Experience with ETL/ELT tools and frameworks (dbt, Airflow, etc.)
• Python expertise (or similar scripting language)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Solid understanding of data modeling, warehousing concepts, and distributed systems
• Strong problem-solving skills and a proactive, collaborative mindset
Nice-to-Have
• Experience supporting real-time data streaming (Kafka, Kinesis, etc.)
• Experience with CI/CD and DevOps tooling
• Exposure to machine learning pipelines or MLOps environments
Why Join
• Meaningful work with a growing team
• Opportunity to influence architecture and data strategy
• Collaborative, supportive culture
• Competitive pay + benefits
If you want, I can make variations:
• more corporate
• more startup-fun energy
• more senior-level
• one tailored for LinkedIn vs Indeed
