Design, build, and maintain ETL pipelines and backend data workflows using Python and SQL.
Develop and optimize data processing solutions on AWS using services such as Glue, EMR, Lambda, and S3 under guidance from senior engineers and architects.
Implement and support CI/CD pipelines to automate build, test, and deployment processes.
Collaborate with data engineers, architects, product owners, and business partners to understand requirements and translate them into clear technical tasks.
Write clean, maintainable, and well-tested code that aligns with team standards and architectural guidelines.
Troubleshoot and resolve data, performance, and reliability issues in lower and production environments with support from senior team members as needed.
Participate in code reviews to provide and receive feedback and help uphold coding and quality standards.
Contribute to design and technical discussions by sharing ideas and raising risks or improvement opportunities.
Continuously learn and adopt tools, technologies, and development practices relevant to data engineering and cloud platforms.
Requirements
Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
2 Years of experience in software development, with a focus on backend or data engineering.
Proficiency in Python for backend development and data processing tasks.
Strong SQL skills, including working with large datasets and query optimization.
Hands-on experience with AWS services, ideally including Glue, EMR, Lambda, and S3, and Kafka topics
Experience working with CI/CD pipelines and tools that support automated build, test, and deployment.
Solid understanding of software development methodologies and best practices, including version control and automated testing.
Strong problem-solving, debugging, and troubleshooting skills.
Experience with Java or JavaScript is a plus but not required.
Tech Stack
AWS
Cloud
ETL
Java
JavaScript
Kafka
Python
SQL
Benefits
Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short
and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.