Senior Data Science Analyst

About the Role

The Senior Data Science Analyst will play a critical role in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This position requires hands-on expertise in data engineering, technical leadership, and a deep understanding of data warehousing, ETL/ELT processes, and advanced analytics. The role involves collaborating with cross-functional teams to ensure high-quality data solutions that meet business needs while adhering to best practices in data governance, security, and performance.

Responsibilities

• Design and implement end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases.
• Develop scalable patterns for batch and incremental processing, focusing on hands-on coding and troubleshooting.
• Optimize data modeling, transformation logic, and performance strategies.
• Evaluate and integrate tools, frameworks, and platform capabilities to meet project requirements.
• Build and maintain high-volume data pipelines using SQL-centric ETL/ELT patterns.
• Design and implement scalable streaming pipelines for real-time data processing.
• Ensure data pipelines are resilient, observable, and production-ready with robust error handling and monitoring.
• Implement standards for data quality checks, validation, and reconciliation.
• Collaborate with governance and DataOps teams on metadata, lineage, and auditability.
• Proactively identify opportunities for reliability, performance, and cost optimization.
• Support production troubleshooting and root cause analysis.
• Participate in design and code reviews to enforce quality and best practices.
• Translate ambiguous requirements into well-designed technical solutions.

Qualifications

• 5 to 7+ years of Data Engineering experience.
• Advanced expertise in SQL, ELT patterns, and performance tuning.
• Strong experience with Oracle Exadata, Snowflake, or similar data warehouses.
• Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).
• Deep understanding of data warehousing architecture and dimensional modeling.
• Strong scripting experience (Python, shell).
• Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst).
• Experience with DataOps practices, CI/CD, and observability.
• Ability to work independently and deliver under pressure.
• Bachelor’s degree or higher in Computer Science, Information Systems, or Mathematics.

Preferred Qualifications

• Experience supporting AI/ML or advanced analytics pipelines.
• Cloud platform experience (AWS, Azure, or GCP).
• Experience influencing enterprise data standards or reference architecture.
• Experience optimizing cost and performance in cloud data warehouses.
• Hands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink.

About the Company

PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada.

Pay

$57 - $61/hr. W2

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment.

Benefits

Full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

Schedule

1 week in office, 1 week remote (Location: Richmond, VA)

Duration: 12 months