Data Engineer/Developer

• Design, develop, and maintain scalable data pipelines, applications, and utilities using Python and PySpark.
• Build robust ETL/ELT frameworks and data processing solutions for large-scale datasets.
• Develop reusable components, libraries, and automation solutions following coding standards and best practices.
• Write clean, maintainable, and efficient code with proper error handling and logging.
• Participate in code reviews and ensure adherence to development standards.

We are looking for a strong hands-on Data Engineer/Developer with solid coding and software development experience. The ideal candidate should have a development-first mindset, be comfortable writing production-quality code, building scalable data applications, and working with modern cloud and data platforms.

The candidate should have strong expertise in Python, PySpark, AWS, Snowflake, APIs, Microservices, and software engineering best practices., The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate’’s skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Bachelor’’s or Master’’s degree in Computer Science, Information Technology, Engineering, or a related field., * Strong hands-on development experience in Python.

• Experience with PySpark and large-scale data processing.
• Strong understanding of software engineering principles, coding standards, design patterns, and best practices.
• Experience with AWS Cloud services such as Glue, Lambda, S3, EC2, API Gateway, ECS, etc.
• Hands-on experience with Snowflake or other cloud data platforms.
• Solid understanding of relational and non-relational databases.
• Experience developing Microservices.
• Knowledge of CI/CD pipelines, Git, version control, and DevOps practices.
• Strong SQL and data modeling skills.
• Excellent analytical, debugging, and problem-solving skills.
• Strong communication and stakeholder management skills, * Strong hands-on development experience in Python.
• Experience with PySpark and large-scale data processing.
• Strong understanding of software engineering principles, coding standards, design patterns, and best practices.
• Experience with AWS Cloud services such as Glue, Lambda, S3, EC2, API Gateway, ECS, etc.
• Hands-on experience with Snowflake or other cloud data platforms.
• Solid understanding of relational and non-relational databases.
• Experience developing Microservices.
• Knowledge of CI/CD pipelines, Git, version control, and DevOps practices.
• Strong SQL and data modeling skills.
• Excellent analytical, debugging, and problem-solving skills.
• Strong communication and stakeholder management skills

Skills: AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Automation, Best Practices, Building Codes, Cloud Computing, Code Reviews, Coding Standards, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Modeling, Data Processing, Data Sets, Database Extract Transform and Load (ETL), Debugging Skills, Design Patterns Programming Methodologies, DevOps, Error Handling, Git, Information Technology & Information Systems, Maintain Compliance, Microservices, Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Development, Software Engineering, Source Code/Configuration Management (SCM)