S3 Connections LLC
Data Engineer- Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Python in Pasadena, CA, offering a hybrid work model. Contract length is unspecified, with a pay rate of "unknown." Requires 7+ years of experience, expertise in Python, PySpark, Databricks, and PostgreSQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 16, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pasadena, CA
-
🧠 - Skills detailed
#DevOps #Data Engineering #Debugging #Data Bricks #Data Processing #Cloud #PySpark #Data Pipeline #Scala #Databricks #AWS (Amazon Web Services) #Databases #API (Application Programming Interface) #Microservices #Python #Spark (Apache Spark) #PostgreSQL #Azure #GCP (Google Cloud Platform)
Role description
Role: Python Developer / Data Engineer
Location : Pasadena- CA Onsite/ Hybrid
Need locals in California (in-person Interview required)
Skills: Python , Pyspark , Data Bricks
Key Responsibilities:
• Design, develop, and maintain backend services and high-performance data pipelines using Python and PySpark.
• Architect and implement scalable APIs and microservices to support business-critical applications and integrations.
• Design and optimize PostgreSQL data models and queries for performance and reliability.
• Collaborate with cross-functional teams including data engineers, architects, and DevOps to ensure system robustness and scalability.
• Lead technical design discussions, mentor junior engineers, and enforce best practices in backend development.
• Participate in performance tuning, debugging, and production support.
• Integrate with external systems such as OpenText (experience helpful but not required).
Required Skills and Experience
• 7+ years of professional software development experience, with a focus on backend systems.
• Expert-level proficiency in Python and PySpark for backend and data processing workloads.
• Experience with Databricks
• Strong understanding of backend architecture, distributed systems, and API design.
• Experience with PostgreSQL or other relational databases.
• Familiarity with cloud-based environments (AWS, Azure, or GCP) and CI/CD pipelines.
• Strong problem-solving skills and ability to work independently on complex projects.
Role: Python Developer / Data Engineer
Location : Pasadena- CA Onsite/ Hybrid
Need locals in California (in-person Interview required)
Skills: Python , Pyspark , Data Bricks
Key Responsibilities:
• Design, develop, and maintain backend services and high-performance data pipelines using Python and PySpark.
• Architect and implement scalable APIs and microservices to support business-critical applications and integrations.
• Design and optimize PostgreSQL data models and queries for performance and reliability.
• Collaborate with cross-functional teams including data engineers, architects, and DevOps to ensure system robustness and scalability.
• Lead technical design discussions, mentor junior engineers, and enforce best practices in backend development.
• Participate in performance tuning, debugging, and production support.
• Integrate with external systems such as OpenText (experience helpful but not required).
Required Skills and Experience
• 7+ years of professional software development experience, with a focus on backend systems.
• Expert-level proficiency in Python and PySpark for backend and data processing workloads.
• Experience with Databricks
• Strong understanding of backend architecture, distributed systems, and API design.
• Experience with PostgreSQL or other relational databases.
• Familiarity with cloud-based environments (AWS, Azure, or GCP) and CI/CD pipelines.
• Strong problem-solving skills and ability to work independently on complex projects.
