What are the responsibilities and job description for the TE59P3 Software Engineer position at Chemical Abstracts Service?
CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 117 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.
CAS is currently seeking a Data Engineer for our Technology team. This position will be located in our headquarters in Columbus, Ohio.
Job Accountabilities:
- Data Engineer is responsible for developing Life Sciences content curation and delivery system for the purpose of building life sciences databases that empower CAS proprietary life sciences search technologies. This role encompasses developing and deploying scientific software solutions in the life sciences information space to support transformational initiatives, delivering both short and long-term results to the business.
- Develops data transformation and integration pipelines and infrastructure foundations of life sciences content in support of scientific databases and data curation. Combines strong software development and data engineering skills with a working knowledge of basic biology/chemistry/physics to develop sophisticated informatics solutions that drive efficiencies in content curation and workflow process. Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.
Qualifications:
- 4-year degree in computer science, engineering, informatics, or equivalent experience
- Minimum of 4 years of software development experience
- Experience with MarkLogic/Xquery required
- Proficiency in programming languages such as Java/Scala/JavaScript/TypeScript/Python
- Proficiency in Linux/Unix environments
- Experience with databases technologies (relational, NoSQL, property graph, RDF/triple store)
- Experience with data engineering tools and techniques
- Experience building applications for public cloud environments (AWS preferred) is highly desired
- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue) is highly desired
- Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is desired
- Experience building containerized applications (Docker, Kubernetes) is highly desired
- Experience working with XML and XPath is highly desirable.
- Experience with creating efficient Xquery algorithms is highly desirable
- Experience with CORB2 is highly desirable
- Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, DynamoDB, S3 is a plus
- Strong communication, organizational savvy, interpersonal skills
- Self-motivated with the ability to work with minimal supervision
- Innovates and continuously improves; focuses on areas of highest potential
CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran
Education
Bachelors of Computer Science (preferred)
