Data Engineer, AWS

• *About The Company** Fractal is a leading strategic AI partner dedicated to empowering Fortune 500 companies through innovative data solutions and advanced analytics. With a mission to power every human decision in the enterprise, Fractal fosters an environment where human imagination and intelligence intersect to create impactful business outcomes. Recognized as a Great Place to Work by The Economic Times in collaboration with the Great Place to Work® Institute, and acknowledged by Gartner as a 'Cool Vendor' and a 'Vendor to Watch,' Fractal is committed to building a diverse, inclusive, and dynamic workplace. Our culture emphasizes passion, customer focus, and continuous growth, making us an exciting place for professionals eager to make a difference through technology. For more information, please visit Fractal | Intelligence for Imagination. • *About The Role** We are seeking a highly skilled AWS Senior Data Engineer to join our team in Rhode Island or remotely. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and solutions on AWS cloud infrastructure. This role requires a strong understanding of AWS services, data engineering best practices, and modern ETL frameworks to enable robust data processing for analytics and business intelligence initiatives. The successful candidate will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality datasets that support strategic decision-making. This position offers an exciting opportunity to work on cutting-edge data architecture, optimize workflows for performance and cost efficiency, and ensure data security and compliance across cloud environments. • *Qualifications • 3–6 years of professional experience in Data Engineering with a focus on AWS cloud services • Hands-on experience with AWS services including Glue, Redshift, EMR, Lambda, S3, and Athena • Strong programming skills in Python, with experience in PySpark/Spark • Proficiency in SQL and data modeling for analytical workloads • Experience with ETL frameworks, data lake architecture, and big data processing • Familiarity with workflow orchestration tools such as Airflow and AWS Step Functions • Knowledge of data security best practices and AWS IAM policies • Experience writing and managing Terraform scripts with hands-on involvement • *Responsibilities • Design, develop, and maintain robust data pipelines and ETL processes utilizing AWS services like Glue, EMR, Lambda, Redshift, and S3 • Implement data ingestion frameworks capable of handling structured and unstructured data from diverse sources • Optimize data workflows for enhanced performance, scalability, and cost efficiency • Collaborate with data scientists, analysts, and business teams to deliver accurate and timely datasets for analytics and reporting • Ensure data security, compliance, and governance across all AWS environments in accordance with organizational policies • Monitor, troubleshoot, and resolve issues within data pipelines to maintain high availability and reliability • Participate in CI/CD pipeline development for automated deployment and version control of data solutions • Develop and manage Terraform scripts for infrastructure as code, ensuring reproducibility and consistency • *Benefits** • Comprehensive health, dental, vision, life insurance, and disability plans, available from the first day of employment • Participation in the company’s 401(k) retirement plan after 30 days • 11 paid holidays annually • 12 weeks of parental leave to support work-life balance • Flexible paid time off policy to accommodate sick leave or vacation needs Equal Opportunity Fractal is an equal employment opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated with respect and fairness. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We welcome individuals of all backgrounds to apply and join our team in contributing to our mission of empowering human decision-making through AI and data innovation.