INSPYR Solutions · 2 days ago
Senior Data Platform Engineer - Elk Grove, CA (Hybrid – 3 days a week on-site)
Elk Grove, CA
Full-time
Hybrid
Senior Level
$160K/yr - $175K/yr
7+ years expINSPYR Solutions is a national expert in delivering flexible technology and talent solutions. They are seeking a Senior Data Platform Engineer responsible for designing, implementing, and supporting scalable data solutions while collaborating with data architects and business stakeholders.
Information TechnologyProfessional ServicesStaffing Agency
No H1B
Responsibilities
Design, develop, and maintain robust data pipelines for ingesting, transforming, and storing large volumes of structured, semi-structured, and unstructured data
Implement data workflows and ETL processes using technologies such as Spark, Delta Lake, and cloud-native tools
Support the production use of big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform), ensuring high availability, scalability, and performance
Monitor, troubleshoot, and resolve issues in production data systems, including job failures, performance bottlenecks, and data quality concerns
Collaborate with data architects to translate business requirements into technical solutions, ensuring alignment with architectural standards and best practices
Optimize SQL queries, Spark jobs, and data processing workloads for efficiency and cost-effectiveness
Implement and maintain data governance, security, and compliance measures, including access controls, data masking, and audit logging
Integrate data workflows into CI/CD pipelines, automate deployment processes, and manage source control using Git and related DevOps tools
Document data pipelines, workflows, and operational procedures to support knowledge sharing and maintainability
Stay current with emerging big data technologies and recommend improvements to enhance reliability, scalability, and efficiency
Qualification
Required
7+ years of experience in data engineering or related roles, with hands-on experience building and supporting production data pipelines
Strong proficiency with big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform) and the Spark ecosystem
Experience with data lakehouse and warehouse architectures, including Delta Lake or similar technologies
Senior Data Engineer with deep expertise in Retrieval-Augmented Generation (RAG) systems and advanced chunking strategies for optimizing semantic search and LLM integration, delivering scalable solutions for enterprise knowledge retrieval and contextual AI applications
Advanced skills in PySpark, Python, SQL, and related data processing frameworks
Experience with cloud storage, messaging/streaming technologies (e.g., Apache Kafka, cloud Pub/Sub), and vector databases
Proven ability to optimize ETL jobs, tune cluster configurations, and troubleshoot production issues
Familiarity with data governance tools, catalog solutions, and security best practices
Experience integrating data workflows into CI/CD pipelines and using DevOps tools (e.g., Git, Jenkins, Terraform)
Strong problem-solving skills, attention to detail, and ability to work independently or as part of a team
Excellent communication skills to collaborate with cross-functional teams and document technical solutions
Experience working in an Agile environment
Preferred
Certifications in major big data platforms (e.g., Databricks, Snowflake, Google Cloud Platform) are advantageous
Exposure to related big data and streaming tools such as Apache Kafka, cloud messaging services, Apache Airflow, and BI/analytics tools is a plus
Google Professional Cloud Architect or better – Preferred, but not required
Azure Solutions Architect Expert – Preferred, but not required
Benefits
20% Bonus
Excellent benefits
Company
INSPYR Solutions
INSPYR Solutions is a information technology staffing service providers.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Gregg Straus
Executive Vice President & Chief Financial Officer
Michelle Wren
Chief Operating Officer
Recent News
2025-09-12
Company data provided by crunchbase