Senior Data Engineer in United States Embassy at Jobgether

This role offers the opportunity to design and deliver modern data solutions that enable smarter business decisions through advanced analytics and engineering practices.
You will work closely with clients and technical teams to build scalable data platforms, pipelines, and reporting solutions.
The position combines hands-on engineering expertise with strong business understanding to transform complex requirements into impactful solutions.
You will contribute across the full data development lifecycle, from requirements gathering and architecture to implementation and optimization.
Working with modern cloud technologies, you will help create reliable, high-performing data ecosystems for enterprise clients.
This is an ideal opportunity for a data professional who enjoys problem-solving, collaboration, and continuous innovation.

The Senior Data Engineer will design, develop, and maintain business intelligence and analytics solutions using modern data platform technologies. This role requires a strong combination of technical expertise, client engagement skills, and the ability to translate business needs into scalable data solutions.

• Build and maintain robust databases, data pipelines, and data lake solutions that support enterprise analytics needs.
• Develop and optimize data transformations, data models, reporting solutions, dashboards, and analytics applications.
• Design and implement scalable data solutions using modern cloud technologies and data engineering best practices.
• Collaborate directly with clients to understand business challenges, gather requirements, and translate needs into technical solutions.
• Participate in all phases of analytics development, including discovery, solution design, implementation, documentation, and continuous improvement.
• Apply data engineering methodologies such as ETL/ELT processes, data modeling, anomaly detection, and data quality management.
• Work closely with technical experts and project teams to deliver reliable and effective data platforms.
• Support Agile development practices, continuous integration, and continuous delivery processes.
• Communicate technical concepts clearly with both technical and non-technical stakeholders.
• Manage multiple projects while maintaining focus on customer expectations, deadlines, and solution quality.
• Provide recommendations and proactive improvements to enhance analytics capabilities and business outcomes.
• Maintain a collaborative mindset by sharing knowledge, supporting team success, and contributing to a positive engineering culture.

The ideal candidate is an experienced data engineering professional with strong knowledge of cloud-based analytics platforms, modern data architectures, and business intelligence solutions. They should have excellent analytical skills, communication abilities, and a passion for continuous learning.

• 3–5 years of professional experience in data engineering or related data platform roles.
• Hands-on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Databricks, Azure Synapse, and Fabric.
• Strong understanding of modern data platform architectures, including data warehouse, lakehouse, and medallion architecture approaches.
• Experience designing and developing ETL/ELT pipelines and scalable data processing solutions.
• Strong SQL skills and experience working with relational database platforms.
• Knowledge of data modeling methodologies, including dimensional modeling and Kimball techniques.
• Familiarity with data profiling, anomaly detection, and data quality practices.
• Experience with DevOps practices, CI/CD processes, and collaborative software development environments.
• Growing proficiency with Python for data engineering tasks.
• Understanding of Agile engineering practices and delivery methodologies.
• Excellent analytical, problem-solving, organizational, and communication skills.
• Ability to work independently and collaboratively within technical teams.
• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
• Consulting experience is preferred but not required.
• Commitment to continuous learning and professional certification development.

• Opportunity to work with large, sophisticated, and innovative clients across North America.
• Collaborative, results-oriented team environment with opportunities to make a meaningful impact.
• Dynamic workplace that encourages skill development and professional growth.
• Comprehensive health, vision, and dental insurance coverage.
• Life insurance and disability coverage.
• Health and dependent care flexible spending accounts.
• 401(k) retirement plan.
• Generous vacation and flexible time-off programs.
• Company-paid holidays.
• Training and development opportunities to support career advancement.