Brillio

Python Developer, SQL & SSIS

Brillio

full-time

Posted on:

Origin:  • 🇺🇸 United States • Missouri

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Salary

💰 $70 - $75 per hour

Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftAWSCloudDjangoDockerETLFlaskGoogle Cloud PlatformGraphQLKubernetesMicroservicesMongoDBPostgresPythonPyTorchReactRedisReduxSCSSSQLSSISTensorflow

About the role

  • Design, write, and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
  • Develop Python scripts and applications for data processing, automation, and integration.
  • Collaborate with data scientists and analysts to build data pipelines and analytical tools.
  • Work with Salesforce APIs to extract, transform, and load data into internal systems.
  • Support Salesforce datamodeling and reporting requirements.
  • Ensure data consistency and integrity across Salesforce and other platforms.
  • Build and maintain scalable ETL/ELT pipelines using tools like Airflow or similar.
  • Manage and optimize relational databases and data warehouses (e.g., Snowflake, AWS Redshift).
  • Implement data governance, profiling, and validation processes.
  • Partner with cross-functional teams including product managers, researchers, and engineers.
  • Document technical specifications, data flows, and system architecture.
  • Participate in code reviews and contribute to best practices in data engineering.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in SQL and Python development.
  • Hands-on experience with Salesforce data structures and APIs.
  • Familiarity with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).
  • Experience with version control systems (Git) and CI/CD pipelines.
  • Experience with deep learning frameworks (PyTorch, TensorFlow) is a plus.
  • Knowledge of data modeling, big data analytics, and business intelligence tools.
  • Strong problem-solving and communication skills.
  • Ability to work independently in a fast-paced, dynamic environment.