We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models. Responsibilities: • Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse. • Troubleshoot and resolve system and data-related errors to maintain data quality and integrity. • Collaborate with stakeholders to translate business requirements into efficient data solutions. • Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies. • Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability. • Design and deploy machine learning models, integrating AI solutions into existing systems. • Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance. • Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows. • Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables. • Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.

• Proven experience with ETL processes and data pipeline development, with a minimum of 3 years in a similar role. • Strong proficiency in Python, including familiarity with libraries like Pandas, NumPy, and Scikit-learn. • Solid understanding of relational databases, with expertise in crafting and optimizing SQL queries. • Knowledge of machine learning algorithms, frameworks, and techniques such as supervised and unsupervised learning. • Hands-on experience with cloud services, particularly AWS resources like Lambda and S3. • Familiarity with Apache Spark, Hadoop, and Kafka for data processing and streaming applications. • Ability to work effectively in Agile teams, contributing to collaborative planning and execution. • Experience working with distributed remote teams is a plus.

<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.®</h3> Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to <a href="https://www.roberthalf.com/us/en/terms">Robert Half’s Terms of Use</a>.

Malvern, PA
remote
Permanent
100000.00 - 125000.00 USD / Yearly
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models. Responsibilities: • Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse. • Troubleshoot and resolve system and data-related errors to maintain data quality and integrity. • Collaborate with stakeholders to translate business requirements into efficient data solutions. • Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies. • Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability. • Design and deploy machine learning models, integrating AI solutions into existing systems. • Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance. • Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows. • Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables. • Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
2025-11-14T14:54:03Z