Job Function
Other
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 of 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 aData Engineer who 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:
As a Sr. Data Engineer you will take a leading role in processing, orchestrating, and delivering customized data assets, ensuring the highest quality of data used in cancer genetics research and innovation. Instrumental in designing, implementing, and maintaining data engineering solutions, ensuring they meet the specific requirements of clients while adhering to best practices.
Core Responsibilities:
- Collaborate with customers to understand their data needs and requirements for tailored data assets.
- Provide accurate effort estimates and design solutions aligning with customer specifications.
- Utilize ETL (Extract, Transform, Load) and orchestration tools to process data from source systems and deliver predefined data assets.
- Implement, test, and maintain data solutions, ensuring scalability, reliability, and adherence to best practices.
- Act as a liaison between technical teams and customers, addressing queries, and providing technical support.
- Offer innovative solutions to accommodate new customer requirements, ensuring timely delivery and customer satisfaction.
- Collaborate closely with other data and systems engineers to develop comprehensive data solutions.
- Contribute to the design and development of reusable components and frameworks to streamline future implementations.
- Ensure the adherence to data governance standards, quality checks, and best practices in solution development and maintenance.
- Conduct performance tuning and optimization of data processes for efficiency.
- Limited travel on an as-needed basis
Education, Experience & Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- 3+years of hands-on experience in data engineering, emphasizing ETL processes and data orchestration.
- Proficiency in ETLtools,(i.e. Microsoft SSIS (SQL Server Integration Services), Qlik, and Informatica).
- Demonstrated expertise in engineering solutions for managing, transforming and move files and objects across various storage cloud locations such as AWS S3, Azure Blob Storage, etc.
- Experience in Cloud data engineering best practices with AWS databases and Snowflake as plus.
- Experience with transfer and sharing technologies (e.g., SFTP, FTP, HTTP/S) for secure and efficient data movement.
- Familiarity with systems orchestration tools or a willingness to learn and adapt to platforms likeSnapLogicandMulesoftsolutions.
- Ability to design, implement, and optimize data workflows across heterogeneous systems and cloud platforms.
- Strong programming skills in languages such as Python, Java, or similar languages for scripting and automation tasks.
- Knowledge of cloud services and their integration with data engineering processes.
- Excellent problem-solving abilities, communication skills, and the capacity to work effectively both independently and in collaborative team environments.
- Experience in implementing and maintainingdata governance practices and standards.
Yes
PI279214474
Job ID: 80913055
