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# Data Scientist / Data Engineer

- **Company:** AIT Global, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Warehousing, Decision Support Systems, Document-Oriented Databases, R (Programming Language), Python (Programming Language), Machine Learning, Software Deployment, SQL Databases, Google Cloud, Azure Data Factory, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Build Management, Microsoft Fabric, Information Technology, AWS Data Analytics, Machine Learning Operations, Restful APIs, Data Pipelines, Databricks
- **Published:** May 16, 2026
- **Apply:** https://www.dice.com/job-detail/923b6c0a-1931-497e-ac8e-74eda20985c0

## About the Role

* Bachelor's degree required in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field. Master's degree preferred.
 * Minimum 7 years of relevant professional experience, with 5 to 10 plus years specifically in data engineering, analytics, or model development.
 * Proficiency with Python, R, SQL, REST APIs, cloud platforms, and modern data pipeline architectures including dbt, Airflow, Spark, Databricks, or Microsoft Fabric.
 * Demonstrated experience preparing datasets, dashboards, models, or analytics workflows for production deployment.
 * Familiarity with health, education, or social sector data standards preferred, including DHIS2, FHIR, CSPro.
 * Experience working in low and middle income countries or public sector environments preferred.

Preferred Certifications:

 * Azure Data Engineer
 * AWS Data Analytics Specialty
 * Databricks or Snowflake
 * CAP (Certified Analytics Professional)

## Description

Hands-on data professional responsible for end-to-end data engineering, analytics, and model development for development sector programs. Covers data pipeline architecture, dataset preparation, dashboarding, and analytics workflow deployment.
Engagement Details:

 * Location: Home-based, remote. No office attendance required.
 * Engagement type: Independent consultant or sub-contractor under company.
 * Duration: Level of Effort basis per task order. Initial bench placement is for 12 months with extensions possible.
 * Travel: Only when a specific task order requires it. All travel pre-approved and reimbursed., * Design and build data pipelines, data warehouses, and analytics platforms supporting development programs.
 * Prepare, clean, and transform datasets from country information systems, surveys, administrative records, and external sources.
 * Develop analytics models, dashboards, and reporting layers for program monitoring, evaluation, and decision support.
 * Build and deploy machine learning models in production environments, including MLOps practices for model monitoring and retraining.
 * Work with cloud platforms such as Azure, AWS, Google Cloud Platform and open-source data stacks to deliver scalable analytics workflows.
 * Document data flows, lineage, and governance controls for donor reporting and compliance.


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