🚨 Urgent Hiring: Senior Data Engineer – Generative AI
📍 Location: Austin, TX & Sunnyvale, CA (Onsite Only)
📄 Job Type: Contract (C2C)
⏳ Experience: 10+ Years Only
💼 Position Summary:
We are actively looking for a highly skilled Data Engineer with deep expertise in Generative AI to work onsite in Austin, TX or Sunnyvale, CA. The ideal candidate will bring over 10 years of hands-on experience in data engineering, large-scale data systems, and AI/ML technologies, especially GenAI pipelines.
✅ Key Requirements:
- Minimum 10+ years of professional experience in Data Engineering
- Strong expertise with data pipelines, data lakes, ETL/ELT, and distributed systems
- Hands-on experience in Generative AI, LLMs, or ML model development
- Proficient in Python, PySpark, SQL and experience with cloud platforms (preferably GCP, AWS, or Azure)
- Experience with MLOps, Kubeflow, Airflow, or Databricks
- Background in data governance, model performance tuning, and versioning
💡 Preferred Qualifications:
- Familiarity with OpenAI, LangChain, or HuggingFace
- Strong collaboration skills working with Data Scientists and ML Engineers
- Knowledge of vector databases and semantic search (e.g., Pinecone, FAISS, Weaviate)
📍 Work Locations (Onsite Required):
- Austin, Texas
- Sunnyvale, California
(Candidates must be able to work onsite from day one. No remote option.)
📬 To Apply:
Kindly send your updated resume to
📧 surya@infowaygroup.com
📝 Subject Line: Senior Data Engineer – GenAI – [Your Name]
#DataEngineer #GenerativeAI #AIJobs #GenAI #DataJobs #AustinJobs #SunnyvaleJobs #C2CRole #NowHiring #AIEngineer #LLMEngineer
I believe I’m a strong fit for this role and your company because my technical skills, problem-solving mindset, and collaborative approach align well with what you’re looking for.
I bring deep expertise in Python, PySpark, and SQL, with hands-on experience building scalable data pipelines, working with large datasets, and ensuring data quality — all crucial for delivering reliable analytics and business insights. My cloud experience across AWS and Azure, using services like Glue, EMR, S3, ADF, and Databricks, allows me to design and optimize cloud-native architectures that are both cost-efficient and high-performing.
Beyond technical skills, I’m highly focused on collaboration and communication. I’ve worked closely with cross-functional teams from data scientists and engineers to business stakeholders translating business needs into technical solutions and making sure everyone stays aligned. I take pride in writing clean, maintainable code, following best practices, and mentoring junior team members when needed.