JOB OVERVIEW

We are seeking a highly skilled and experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architecture. The ideal candidate will play a key role in managing our growing data infrastructure, enabling advanced analytics, machine learning, and business intelligence initiatives across the organization. This role requires strong technical skills, a problem-solving mindset, and a deep understanding of modern data platforms and tools. Salary for this role is starting at $140,000.

COMPANY BACKGROUND

Prometric (www.prometric.com) is a trusted test development and delivery provider to more than 300 organizations worldwide. Prometric serves as an industry gatekeeper, ensuring that people legitimately earn the credentials they seek to achieve, and thereby guaranteeing a fair testing experience for all who come through our doors.

RESPONSIBILITIES

• Design, develop, and maintain robust data pipelines and ETL processes.
• Work closely with data scientists, analysts, and product teams to define data requirements and implement scalable data models.
• Optimize data architecture for performance, reliability, and cost-efficiency.
• Lead initiatives around data quality, governance, and security.
• Integrate data from multiple sources (internal and external) into the centralized data warehouse/lake.
• Collaborate on infrastructure decisions related to cloud data platforms (e.g., AWS, GCP, Azure).
• Mentor junior engineers and enforce best practices in code quality and architecture.
• Participate in performance tuning, automation, and continuous integration for data systems.

QUALIFICATION REQUIREMENTS

EDUCATION

• BA/BS required; MBA in Computer Science, engineering, or related field is preferred

EXPERIENCE

• 5+ years of experience in data engineering or a similar role
• Expertise in Python, SQL, and one or more modern ETL tools (e.g., Apache Airflow, dbt).
• Experience with cloud-based data platforms such as AWS Redshift, Snowflake, Google BigQuery, or Azure Synapse.
• Strong understanding of data warehousing, data lakes, and distributed systems.
• Experience with real-time data streaming tools such as Kafka or Spark Streaming is a plus.
• Familiarity with dashboard/reporting tools like Power BI, Tableau, or Zoho Analytics.
• Solid communication skills and ability to work independently and cross-functionally.
• Experience with CI/CD, Git, and agile development practices.

SKILLS

• Exposure to machine learning pipelines and model deployment.
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Familiarity with data privacy and compliance standards (e.g., GDPR, HIPAA).
• Certifications in cloud platforms (AWS, GCP, Azure) are a plus.

PHYSICAL JOB REQUIREMENTS

• N/A

Prometric is an equal opportunity employer: disability/veteran