Senior, ETL/Data Engineer

Description

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.

We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!

NeoGenomics is looking for a Sr. ETL/Data Integration Engineer wants to continue to learn in order to allow our company to grow. This is a remote position with a Monday – Friday day shift.

Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:

As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Position Summary:

The Senior ETL/Data Integration Engineer – Data & Analytics plays a key role in the informatics division at NeoGenomics, enabling analytics on cloud data assets and ensuring high-quality data for cancer genetics research and innovation. The Senior ETL/Data Integration Engineer – Data & Analytics is responsible for API integration, data transformation, and relational database management to support various data-driven initiatives within the company.

Responsibilities:

• Collaborate with stakeholders to understand data needs and requirements for tailored data assets
• Provide accurate effort estimates and design solutions that align with customer specifications
  Develop and maintain data pipelines to efficiently extract, transform, and load (ETL) data from various sources and formats (RESTful APIs, RDPs, Containers)
• Implement, test, and maintain data solutions, ensuring scalability, reliability, and adherence to best practices
• Act as a liaison between technical teams and stakeholders, addressing queries and providing technical support
• Offer innovative solutions to accommodate new stakeholder requirements, ensuring timely delivery and customer satisfaction

Experience, Education and Qualifications:

• Bachelor’s degree in Computer Science, Information Systems or related field required
  Master’s degree in a relevant field preferred
• 5 or more years of hand-on experience in data engineering, data integration, or a related field with a strong focus on ETL processes and orchestration -OR-
• 3 or more years of experience with a Master’s degree in a relevant field
• Possess superior knowledge of cloud services and their integration with data engineering processes
• Experience in streaming data processing
• Demonstrate proficiency in scripting languages for data transformation and automation, including Python, SQL, PowerShell, and JavaScript
• Exhibit expertise in consuming RESTful APIs and working with semi-structured data formats (JSON, XML)
• Apply advanced SQL skills with extensive experience in relational databases such as Snowflake, SQL Server, MySQL, and Oracle
• Show strong skills in data modeling, schema design, and ETL processes
• Implement cloud data engineering best practices using AWS, Azure, and Snowflake

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.