Senior Data Science Analyst/Data Engineer

Location: Richmond, Virginia 23219, hybrid; 12-month contract assignment. ETL development and process support may require weekend or out-of-business-hours work.

Pay range: $56–$61/hour, W-2.

Company

hirify.global, operating in the information technology and workforce solutions sector, provides IT and workforce services through PTR Global.

What you will do

• Build, deploy, and optimize end-to-end batch, incremental, and streaming data pipelines for analytics, reporting, and AI/ML use cases.
• Implement SQL-centric ETL/ELT solutions, data transformations, dimensional models, and high-volume warehouse workloads.
• Design low-latency streaming pipelines using technologies such as Kafka, Kinesis, or Spark Streaming.
• Improve pipeline, warehouse, and workload performance through indexing, partitioning, tuning, and cost optimization.
• Implement resilience, restartability, monitoring, alerting, data quality checks, reconciliation, security, access control, governance, metadata, lineage, and auditability.
• Partner with architecture, infrastructure, application, governance, DataOps, and platform teams; lead troubleshooting, root-cause analysis, design reviews, and technical solution development.

Requirements

• 5–7+ years of Data Engineering experience, with experience designing and supporting large-scale production data pipelines.
• Bachelor’s degree or higher in Computer Science, Information Systems, Mathematics, or a related discipline.
• Advanced SQL, ELT patterns, ETL development, performance tuning, data warehousing architecture, and dimensional modeling.
• Strong experience with Oracle Exadata, Snowflake, or similar cloud/on-premises data warehouses.
• Hands-on experience with enterprise ETL/ELT platforms such as Talend, dbt, or Informatica.
• Strong scripting experience with Python and shell.
• Experience with data virtualization tools such as Denodo, Composite, Dremio, or Starburst.
• Experience with DataOps practices, CI/CD, observability, data quality, and production support.
• Ability to work independently, communicate effectively, collaborate across teams, adapt to changing priorities, and maintain quality while working under pressure.

Nice to have

• Experience supporting AI/ML or advanced analytics pipelines.
• Cloud platform experience with 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.

Culture & Benefits

• Full-time W-2 consulting engagement with medical, dental, vision, and 401(k) contributions.
• PTO, sick leave, and other benefits mandated by applicable state or local requirements.
• Collaborative environment emphasizing ownership, knowledge sharing, effective communication, urgency, quality, and adaptability.
• Hybrid work arrangement in Richmond, Virginia, with possible weekend or out-of-business-hours support.

Hiring process

• Applicants should apply through the official hiring process; no fee, product purchase, gift-card purchase, or sensitive financial information is required during application or selection.