Senior Data Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

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.

Requirements:

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.

Benefits:

• 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.