Senior Data Science Analyst

PTR Global; Richmond (VA); Hybrid; USD 79,000 - 84,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K contributions

PTO & sick leave

Job summary

PTR Global is seeking a Senior Data Science Analyst to design and build enterprise-grade data pipelines for analytics and AI/ML use cases in Richmond, VA. This hybrid role combines hands-on data engineering with leadership in ETL/ELT design and data governance across cross-functional teams.

You will work with Oracle Exadata, Snowflake, and modern ETL/ELT platforms, delivering reliable, observable pipelines while optimizing cost and performance in a 12‑month engagement.

Qualifications

• 5–7+ years in data engineering.
• Expert in SQL and ELT patterns.
• Experience with data warehouses like Snowflake or Oracle Exadata.
• Hands-on with ETL/ELT platforms (Talend, dbt, Informatica).
• Strong Python and shell scripting.
• Bachelor’s degree or higher in relevant field.

Responsibilities

• Design and implement end-to-end data pipelines for analytics.
• Develop scalable batch and streaming data processing.
• Optimize data models and transformations for performance.
• Ensure data quality, governance, and auditability.
• Collaborate with governance and DataOps teams on metadata.

Skills

SQL

ELT patterns

Performance tuning

Python

Data warehousing

CI/CD

Observability

Data governance

Education

Bachelor’s degree or higher in CS/IS/Math

Tools

Talend

dbt

Informatica

Oracle Exadata

Snowflake

Denodo

Dremio

Kafka

Spark

Job description

Position: Senior Data Science Analyst

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

Duration: 12 months

Job ID: 178683

Job Overview: 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 PTR Global: 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. For more information visit www.ptrglobal.com

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.


• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.


• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $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. Our 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.

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.