PTR Global

Senior Data Science Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Science Analyst in Richmond, Virginia, on a W2 contract for over 6 months, paying $55-$61 per hour. Requires 5-7+ years in Data Engineering, expertise in SQL, ELT, and cloud data warehouses like Snowflake.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
488
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πŸ—“οΈ - Date
May 20, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Richmond, VA
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🧠 - Skills detailed
#Data Engineering #Apache Kafka #Scripting #Spark (Apache Spark) #Scala #Data Processing #Cloud #Data Warehouse #Data Modeling #Computer Science #Code Reviews #Dremio #Python #dbt (data build tool) #ML (Machine Learning) #Snowflake #Talend #Mathematics #Oracle Exadata #SQL (Structured Query Language) #AWS (Amazon Web Services) #Batch #Security #Monitoring #Metadata #Informatica #Observability #Data Lineage #Data Science #Virtualization #AI (Artificial Intelligence) #Azure #Data Pipeline #DataOps #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Oracle #GCP (Google Cloud Platform)
Role description
Position: Senior Data Science Analyst Location: Richmond, Virginia Duration:Β W2 Contract Job ID: 176936 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, a deep understanding of data warehousing architecture, and the ability to implement advanced ELT solutions. The role also involves troubleshooting complex data challenges, ensuring best practices, and collaborating with architecture and platform teams to enhance the overall data ecosystem. Responsibilities: β€’ Design and build end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases. β€’ Develop, test, and deploy scalable patterns for batch and incremental data processing. β€’ Optimize data modeling, transformation logic, and performance strategies. β€’ Evaluate and integrate tools, frameworks, and platform capabilities to meet project requirements. β€’ Implement enterprise-grade error handling, restartability, and monitoring for data pipelines. β€’ Design and maintain scalable, low-latency streaming data pipelines using technologies like Kafka, Kinesis, or Spark Streaming. β€’ Ensure data pipelines meet security, access control, and governance requirements. β€’ Collaborate with governance and DataOps teams on metadata, lineage, and auditability. β€’ Proactively identify opportunities for reliability, performance, and cost optimization. β€’ Support production troubleshooting and root cause analysis. β€’ Participate in design and code reviews to enforce quality and best practices. β€’ Translate ambiguous requirements into well-designed technical solutions. Qualifications: β€’ 5 to 7+ years of Data Engineering experience. β€’ Advanced expertise in SQL, ELT patterns, and performance tuning. β€’ Strong experience with Oracle Exadata, Snowflake, or similar cloud/on-prem data warehouses. β€’ Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica). β€’ Deep understanding of data warehousing architecture and dimensional modeling. β€’ Strong scripting experience (Python, shell). β€’ Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst). β€’ Experience with DataOps practices, CI/CD, and observability. β€’ Ability to work independently and deliver results under pressure. β€’ Bachelor’s degree or higher in Computer Science, Information Systems, or Mathematics. Preferred Qualifications: β€’ Experience supporting AI/ML or advanced analytics pipelines. β€’ Cloud platform experience (AWS, Azure, or GCP). β€’ Prior experience influencing enterprise data standards or reference architecture. β€’ Experience optimizing cost and performance in cloud data warehouses. β€’ 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: β€’ Pay any fee to be considered for, submitted to, or selected for any opportunity. β€’ Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. β€’ 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:Β $55Β - $61 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. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com