Job description

Description We are offering a contract to permanent employment opportunity for a Data Engineer in Philadelphia, Pennsylvania. As a Data Engineer, you will work in the healthcare industry, focusing on designing, developing, and delivering data solutions to support enterprise analytics. This role involves a strong emphasis on SQL and data engineering tools and methods, and the application of Python or Apache Spark for data transformations. Company Culture and Environment Robert Half promotes a collaborative and supportive team environment that values guidance, coaching, and training for new team members. The emphasis on professional standards and documentation indicates a commitment to quality and continuous improvement. Career Growth and Development Opportunities The position encourages professional development through collaboration with experienced data professionals and aims for certification in Epic Clarity Data Model within the first six months of employment. This highlights opportunities for learning and career advancement in the field of data engineering. Detailed Benefits and Perks Contract/temporary professionals are eligible for benefits including medical, vision, dental, life and disability insurance. Hired professionals can also enroll in the company 401(k) plan, providing additional financial security. Compensation and Benefits • Competitive salary based on experience • Medical, vision, dental, and life and disability insurance • Eligibility to enroll in 401(k) plan Why you should apply for this position today This role offers a unique opportunity to make a substantial impact in the healthcare industry while advancing your career in data engineering. You will be part of a dedicated team that emphasizes collaboration and innovation. Skills • Proficiency in Apache, Azure Databricks, and Microsoft Azure • Solid understanding of Continuous Integration / Continuous Delivery (CICD) processes • Experience with ETL (Extract Transform Load) methodologies • Familiarity with Snowflake and Azure Data Lake • Demonstrable experience in data engineering • Strong problem-solving skills and analytical abilities • Excellent communication skills, both written and verbal • Ability to work collaboratively within a team • Strong attention to detail and organizational skills Responsibilities • Design, develop, and implement data engineering solutions and data warehousing on Databricks • Ensure accurate ingestion, integration, and curation of data to deliver valuable information to stakeholders • Develop efficient processes for data ingestion from diverse sources to Databricks on Azure • Provide guidance, coaching, and training to entry-level and new team members on standards, processes, and documentation • Collaborate effectively with a large team of Data Engineers, Data Architects, and DevOps Engineers • Work towards developing expertise in Python or Apache Spark for data transformations • Ensure seamless integration of data across the enterprise and drive automation of repetitive tasks • Aim to successfully obtain certification in Epic Clarity Data Model within the first six months of employment • Emphasis on providing research-ready datasets Qualifications • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience • Strong attention to detail and organizational skills Education Requirements • Bachelor’s degree in Computer Science, Information Technology, or a related field Education Requirements Credential Category • Bachelor’s Degree Experience Requirements • Demonstrable experience in data engineering • Strong problem-solving skills and analytical abilities Why work in Philadelphia, PA Philadelphia offers a rich historical backdrop combined with a vibrant cultural scene, making it an exciting place to live and work. With a strong presence in the healthcare and technology sectors, the city provides numerous professional opportunities and a collaborative atmosphere that supports both personal and career growth.

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