Data Engineer, Forward Deployed Engineer (AI)

Location: Hybrid role requiring at least 3 days per week on-site in Frisco, Texas; candidates must reside within a commutable distance. Relocation assistance is not provided.

Salary: $143,640–$273,000 annually in the United States, with location-specific ranges for certain states and cities.

Company

hirify.global designs, builds, manages, and modernizes mission-critical technology systems for enterprise customers.

What you will do

• Design, optimize, and maintain scalable ETL/ELT pipelines for high-volume batch processing and low-latency streaming.
• Architect distributed systems, database models, and cloud-native resources across hybrid and public-cloud environments.
• Deploy vector databases, semantic layers, RAG search systems, agent memory structures, APIs, and feature stores for AI and machine learning workloads.
• Implement data quality, metadata lineage, automated testing, observability, and schema-drift prevention.
• Diagnose performance bottlenecks and ensure solutions meet security, compliance, and data-protection requirements.
• Capture deployment insights, collaborate with global practices, and evolve prototypes into stable customer platforms.

Requirements

• Production-grade Python coding skills and advanced SQL optimization experience.
• Experience building and orchestrating ETL/ELT pipelines with tools such as Airflow, dbt, and Kafka.
• Expertise in database modeling, distributed computing, and AWS, Azure, or GCP cloud-native deployments.
• Hands-on experience with vector databases such as Pinecone, Milvus, Chroma, or Weaviate and vector indexing strategies.
• Knowledge of data quality, pipeline lineage, and observability tools such as Great Expectations and DataHub.
• Bachelor’s degree in a relevant technical field or equivalent professional experience; cloud certifications or willingness to obtain them is required.

Nice to have

• Experience with regulated industries such as financial services, healthcare, or the public sector.
• Docker and Kubernetes deployment experience.
• Semantic modeling, metadata management, and AI agent architecture experience.
• CI/CD, Git, GitHub, and Agile delivery experience.
• Advanced database, data architecture, or machine learning certifications, or a related master’s degree.

Culture & Benefits

• Collaborative, customer-focused environment with a growth mindset and hands-on delivery model.
• Medical and dental coverage, disability and retirement benefits, paid leave, and paid time off.
• Discretionary annual bonus program based on performance.
• Learning programs and access to certification opportunities from Microsoft, Google, Amazon, Skillsoft, and others.
• Inclusive workplace supported by employee inclusion networks and volunteering programs.