Senior Data Engineer, Collaborative Surveillance

Responsibilities

Data Pipeline Development

• Technical oversight for expanding and optimizing data architecture, including optimizing the entire data lifecycle from collection to analysis for multidisciplinary teams.
• Support integration/interoperability of existing systems and provide guidance on potential mechanisms for accessing/exchanging data (e.g., API, data standards, e.g., HL7/FHIR).
• Identify and understand sources of data and optimize ways for data to be collected and processed in preparation for analysis by multidisciplinary teams.
• Provide subject matter expertise and make design recommendations/specifications on optimal data extraction, transformation, and loading (ETL) from structured and unstructured data sources.
• Work with members of the data use and data science workstream to define requirements to inform systems design and data flows, including query procedures.

Data Management

• Implementation of data warehouse(s), including data models using relevant healthcare standards (e.g., HL7 FHIR, terminologies), master data, and metadata that can be used to link datasets for use and analysis.
• Technical assistance on data quality management, security, privacy, and data governance.
• Provide support for data availability and access within the NPHI and eventually allow for access to and transfer of critical data from other sectors and Ministries.

Reporting & Analytics

• Collaboration with RTSL and country-based partners on data use, analysis, and reporting
  Support implementation of data reporting and visualization tools.

Collaboration and Accompaniment

• Routine engagement with and support to key country-based informatics staff, including but not limited to Chief Informatics Officers/Chief Technology Officers.
• Collaboration with RTSL and country-based partners on data use and analysis, policy and governance, and informatics.
• Consensus building and alignment with existing governance and technical guidance frameworks, including digital health strategies.
• Accompaniment with non-technology public health staff to define system requirements.
• Assist in the identification of procurement needs and the evaluation/selection of appropriate technology platforms.
• Support and mentorship for junior data engineering staff.

Skillset

Education

• Bachelor’s or higher-level degree in Computer Science, Engineering, or related field.

Experience

• Minimum of 10 years of experience in data engineering or a related discipline.
• Demonstrated experience in implementing data pipelines/ETL into data warehouses and data querying and analysis, ideally in the health sector.
• Proven experience with data pipeline and workflow management tools.

Skills & abilities

• Ability to build and optimize data pipelines and systems architecture.
• Strong knowledge of SQL, Python, and other data engineering tools and languages.
• Strong understanding of data warehousing methods, database administration, and hosting requirements.
• Capable of providing strategic direction and subject matter expertise to in-country teams to enable programs to make use of the data collected.
• Proven ability to work collaboratively with government leadership (Ministers of Health or Directors of National Public Health Institutes) on strategy development and alignment on commitments and timelines.
• Familiarity with data governance, security and privacy standards.
• Excellent communication, presentation and interpersonal skills for engaging and influencing non-governmental partners, civil society organizations, donors, and multilateral agencies.
• Coaching and mentoring skills to support capacity strengthening of partner agencies and key government personnel.
• Ability to thrive in a collaborative and highly matrixed environment with experience serving many different internal and external stakeholders and demonstrating inclusiveness and active listening skills.
• Results and impact-oriented, with a problem-solving attitude.
• Excellent leadership and team management skills.
• Strong problem-solving ability and attention to detail.
• Ability to work in a fast-paced and dynamic environment.
• Cultural competency and ability to work and support remotely.
• Ability to travel approximately 30% of the time.
• Fluent in English.

Other

• Able to work remotely and willing to convene occasionally for in-person team meetings, as needed.