Data Engineering Intern At Mutually Human, we believe that innovation ensures relevancy. We help companies harness the power of Artificial Intelligence, Data, and Software through a holistic approach that emphasizes People, Process, and Technology. Our services are designed to solve key business challenges like optimizing operational efficiency, driving data-driven decision-making, and enhancing customer experiences. Join our team to help businesses stay ahead in an ever-evolving digital landscape. Position Overview We are looking for a Data Engineering Intern to join our data team. In this role, you will work alongside experienced engineers to help build, maintain, and optimize data pipelines and infrastructure that power our analytics and data-driven decision-making. Key Responsibilities Assist in designing, building, and maintaining scalable ETL/ELT pipelines Support data ingestion from a variety of sources including APIs, databases, and flat files Help monitor and troubleshoot data pipeline failures and performance issues Write clean, well-documented SQL and Python code for data transformation tasks Collaborate with data analysts and scientists to understand data requirements Contribute to data quality checks, validation frameworks, and testing Participate in code reviews and team standups Document data flows, schemas, and processes Qualifications Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field Familiarity with Python or another programming language Basic understanding of SQL and relational databases Exposure to data concepts such as data modeling, ETL processes, or data warehousing (coursework counts) Strong analytical and problem-solving skills Eagerness to learn and ability to work independently Nice to Have Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with tools like Spark, Airflow, dbt, or Kafka Knowledge of version control with Git Prior internship or project experience with data pipelines or large datasets What You’ll Gain Hands‑on experience with real‑world data infrastructure Mentorship from senior data engineers Exposure to modern data stack tools and best practices Opportunity to contribute to meaningful projects with measurable impact Think you have what it takes? Apply today! #J-18808-Ljbffr
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