Data Engineer

August 21

🏡 Remote – Anywhere in California

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Logo of Claritas Rx

Claritas Rx

Delivering actionable information tailored to your unique needs is what sets us apart.

Specialty pharmacy data aggregation • Specialty pharmacy data integration • Biopharmaceutical commercial data analytics • Specialty channel data strategy • Market Access

51 - 200

💰 Private Equity Round on 2021-03

Description

• Design and build the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. • Develop technical tools and programming to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. • Follow established design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. • Review internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. • Participate in Technical requirements gathering, ensuring quality and consistency of our data architecture across our systems. • Foster innovation by designing and building solutions that solve business problems and by partnering with cross functional stakeholders and at senior levels. • Develop secure and high-quality production code. Review / debugs code written by others. • Actively oversee live operations of our SaaS offering, monitoring KPI’s to find opportunities and threats. • Design and develop features, understand customer requirements, and meet business goals. • Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance. • Implementing multi-tenant systems, with focus on isolation and security. • Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! • Organize work around a cross-functional team of Product Managers, BAs, Engineers, BI Developers and Quality Engineers. • Stay up-to-date with the latest technologies and industry trends, leveraging them to drive platform innovation.

Requirements

• Expertise in data architecture and business intelligence systems including ELT development, data transformation, data modeling, report design / development • 7+ years of professional software engineering experience • Excellent programming skills with Python • Strong relational database skills - design, scalability, SQL Experience querying and extracting data from databases • Data Concepts (ETL, data structures, metadata and workflow management) • Solving complex data and technology problems • Excellent communication skills to narrate data driven insights and technical approach • B.S. in computer science, engineering, or related degree • Experience with Agile software development (e.g. scrum, Kanban) • Experience in a fast-paced environment with enterprise class software release experience as well as SaaS based short, quick product life cycles. • Great energy and passion – must be comfortable in a rapidly changing dynamic environment • Strong Analytical skills combined with a detailed oriented mindset • Experience working with Bug Tracking tools such as JIRA • Ability to work in a fast paced, dynamic and team oriented environment.

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