Associate, Data Engineering - DISC Project

Population Services International • Washington, DC

1d • Remote

About The Position

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.

Requirements

• 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

Responsibilities

• Data Engineering: Support the design, build, and optimization of scalable data pipelines using cloud-based proprietary or open-source data platforms to 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, integrating models into production data environments, and contributing 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.

Benefits

• PSI's work is about enabling families to live happy and healthy lives—we think this should apply to our employees, too.
• Health & Wellness: In all of our locations, PSI offers a comprehensive benefits package that offers health, financial planning, family care, and flexibility for work life fit.
• Time Away: We want you to take time away when you need it. PSI offers a competitive leave package. On top of our leave, some PSI offices offer a compressed work week throughout the year, giving you additional work-life flexibility.
• Learning & Development: PSI is committed to your career growth. Through PSI’s job architecture, there are many potential career paths you can follow depending on your skills and interests. Additionally, PSI University, our learning management system, offers hundreds of courses, hosts org-wide trainings, offers Great Manager/Leader trainings, as well as a mentorship program for all staff levels.
• Innovation & Collaboration: With over 53 years of insight, PSI reimagines how to bring quality healthcare closer to those who need it most. Innovation requires stepping out of comfort zones, and our employees are encouraged to think beyond boundaries, collaborate to drive impact, challenge conventions, and pioneer new solutions.
• PSI is committed to pay equity and transparency. We ensure pay meets the market within each country. This approach minimizes our impact on local talent markets and allows PSI to attract and retain employees, while staying cost-competitive.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees