[Hiring] Associate, Data Engineering @Population Services International

Role Description

PSI seeks an Associate, Data Engineering that will provide dedicated support to the DISC project in developing robust, production-grade data architectures, transforming complex raw data into high-quality, analytics-ready datasets, and ensuring reliable and performant data platform operations.

• Data Engineering:
  • Support the design, build, and optimization of scalable data pipelines using cloud-based proprietary or open-source data platforms.
  • Deliver high-quality, analytics-ready datasets for enterprise reporting and advanced analytics.
  • Implement best practices for data transformation and cleansing to ensure data integrity and reliability.
  • Support the development and maintenance of technical documentation, including SOPs and user guides.
• Machine Learning Operations (MLOps) Support:
  • Enable and support machine learning workflows by developing feature pipelines.
  • Integrate models into production data environments.
  • Contribute to automated model monitoring and processes.
• Platform Operations & Reliability:
  • Ensure the stability, performance, and reliability of data platforms through proactive monitoring, CI/CD practices, and production issue resolution.
  • Support the implementation of data analytics, visualization, and reporting tools.
  • Provide technical support in data quality management, data governance, security, and data privacy.
• Embody PSI’s values: Measurement, Pragmatism, Honesty, Trust, Collaboration, and Commitment.
• 10–25% international travel, or flexibility to support global teams across regions.

Qualifications

• Bachelor’s degree (or international equivalent) in Computer Science, Information Technology, Statistics, or a related field.
• At least 3 years of related experience; an equivalent combination of relevant education and experience may be considered.
• Strong data engineering skills, with experience building and maintaining ETL/ELT pipelines and working with both structured and unstructured data.
• Solid scripting skills in PySpark, Python, R, or SQL.
• Knowledge and appreciation of data modeling principles and database systems.
• Experience with Microsoft Fabric, Databricks, or similar cloud-based or open-source data platforms.
• Experience with data lake/lakehouse architectures and best practices for data storage and processing.
• Knowledge of machine learning concepts and frameworks.
• Strong problem-solving and critical thinking skills, with the ability to identify and mitigate risks and develop creative solutions.
• Experience using data analysis and visualization tools (e.g., Power BI, Superset, Tableau, D3.js).
• Ability to build and maintain relationships with internal and external stakeholders; able to work both independently and as part of a team.
• Exceptional interpersonal and communication skills (verbal and written), with the ability to interpret data and present insights to non-technical audiences.

Benefits

• Comprehensive benefits package that offers health, financial planning, family care, and flexibility for work-life fit.
• Competitive leave package, with some PSI offices offering a compressed work week throughout the year.
• Commitment to career growth through various potential career paths and access to PSI University for learning and development.
• Encouragement of innovation and collaboration to drive impact and pioneer new solutions.

Salary Ranges

• For Kenya (paid in Ksh): Ksh 2,100,000 (minimum) - Ksh 3,500,000 (midpoint) - Ksh 4,550,000 (maximum).
• Actual base salary compensation will be determined by factors such as a candidate’s qualifications, experience, internal equity, external market analysis, and other business factors permitted by law.