Senior Data Engineer, Customer Engineering
C
Claritas RxHealthcare Technology
United StatesFull-TimeSenior
Salary150000 - 170000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonSQLAgileJavaJiraData modelingHIPAA
Requirements
- Expertise in data architecture and business intelligence systems including ELT development, data transformation, data modeling, report design / development and BI dashboard design / development
- 10+ years of professional software engineering experience
- Excellent programming skills with Python/Java
- 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
- Strong Analytical skills combined with a detailed oriented mindset
- Experience working with Bug Tracking tools such as JIRA
- Experience working in AWS (Preferred)
- Passion for Agile Methodology (Preferred)
- Experience in healthcare (Preferred)
- Familiarity with HIPAA/SOC/HITRUST requirements (Preferred)
Responsibilities
- Deliver on data engineering initiatives towards our customer-centric technology roadmap
- Develop robust solutions that address immediate and long-term business challenges
- Ensure seamless platform integration with client environments
- Develop conceptual design, logical database, taxonomy, data storage and capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy for ClaritasRx data pipeline
- Design, build and oversee the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data
- Establish and build processes and structures to channel data from multiple inputs and store using distributed (cloud) structures, local databases, and other applicable storage forms
- 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
- Create and establish design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements
- Lead the technical requirements gathering, ensuring quality and consistency of our data architecture across our systems
- Develop secure and high-quality production code and review/debug code written by others
- Actively oversee live operations of our SaaS offering, monitoring KPI’s to find opportunities and threats
- Implement 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
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