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Sr. Python/Data Engineer Position

Salary undisclosed

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Sr. Python/Data Engineer Position

Duration: 6 Months Plus

Start: Immediate

Position Responsibilities

Data Engineer is responsible for developing Life Sciences content curation and delivery system for the purpose of building life sciences databases that empower Client s 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.

Education/Experience

4-year degree in computer science, engineering, informatics, or equivalent experience

Minimum of 4 years of software development experience

Competencies/Technologies

Proficiency in Python

Proficiency in other programming languages such as JavaScript/TypeScript/Java

Proficiency in Linux/Unix environments

Experience building applications for public cloud environments (AWS preferred)

Experience with databases technologies (NoSQL, relational, property graph, RDF/triple store)

Experience with data engineering tools and techniques is highly desired

Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desired

Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, S3 is highly desired

Experience working with XML and XPath is highly desired

Experience with MarkLogic/Xquery is a plus

Experience with Apache Airflow is a plus

Experience building containerized applications (Docker, Kubernetes) 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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