Data Engineer

Job Description Position Title: Data Engineer Position Description: Protingent Staffing has an exciting contract Data Engineer Opportunity. Job Responsibilities: • Data Engineering & UDW Enablement: • Ingest and transform Salesforce (SFDC), SQL and No SQL data, FHIR healthcare data, and other sources into Snowflake DW. • Design data marts, graph data structures, and integrate with graph databases (GraphDB) in Snowflake optimized for conversational agent retrieval. • Build and orchestrate ETL/ELT pipelines using Airflow, Azure Data Factory, dbt, or equivalent cost-effective tools. • Knowledge of Salesforce Apex integration and workflows • Ensure high data quality, governance, lineage, and performance for near real-time queries. • Hands-on experience with Python for scripting, automation, or data processing. • Familiarity with modern data tools and frameworks to accelerate delivery. • Digital Agent Implementation: • Build GenAI/LLM-powered agents that interact with Snowflake, GraphDB, and other systems. • Integrate with telephony systems (e.g., Twilio, Amazon Connect, or Azure equivalents) for inbound and outbound calls. • Implement real-time and near real-time connections to surface answers quickly and accurately. • Incorporate transcription services and concepts of short-term and long-term memory for better conversational continuity. • Enable secure authentication, context passing, and warm transfers to Salesforce Service Cloud or call center platforms. • Experience with prompt engineering and applying LLMs in practical use cases. • Exposure to backend API development and integration patterns. • Architecture, Leadership & Compliance: • Define and own the end-to-end architecture from data ingestion to AI agent interaction, including Snowflake and GraphDB components. • Gather requirements directly from business stakeholders and translate them into technical solutions. • Ensure solutions comply with HIPAA, TCPA, and data privacy standards, with strong PHI/PII protections. • Mentor contractors or junior engineers and lead technical delivery milestones. • Optimization & Innovation: • Monitor and optimize latency, cost, accuracy, and resolution rates of both pipelines and AI agents. • Explore advanced use cases such as outbound engagement, personalization, and multimodal inputs (voice + text). Job Qualifications: • 7+ years of data engineering experience, with expertise in Snowflake, GraphDB, and ETL/ELT pipeline design. • Proven experience ingesting and transforming Salesforce (SFDC) data and working with FHIR healthcare data models. • Strong background in graph data structures, graph databases (GraphDB), and real-time data retrieval architectures. • Hands-on knowledge of LLM/GenAI-based applications, including vector databases, embeddings, and orchestration frameworks (LangChain, LlamaIndex, etc.). • Experience with telephony integration, transcription services, and memory management in conversational AI. • Proficiency in data pipeline orchestration tools (Airflow, Azure Data Factory, dbt, or similar). • Familiarity with compliance requirements in healthcare (HIPAA, TCPA, PHI/PII). • Excellent leadership, requirement-gathering, and cross-functional collaboration skills. Job Details: • Job Type: Contract • Pay Rate Range: $70-75/hr. • Location: Remote acceptable Benefits Package: Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education/certification reimbursement, pre-tax commuter benefits, Paid Time Off (PTO), and an administered 401k plan. About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.