Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oteemo Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Oteemo Inc. is a technology consultancy company specializing in DevSecOps transformation, infrastructure modernization, and cyber security solutions. The company helps enterprises rapidly deliver digital capabilities without compromising security and quality. Oteemo leverages artificial intelligence, adopts Agile methodologies, and provides business transformation services. They serve various sectors, including financial services, healthcare, technology, and government, by modernizing operations, enhancing security, and driving innovation. Oteemo operates from multiple locations, including the USA, Mexico, and India, delivering expert-led solutions to improve efficiency, safety, and reliability.

📋 Description

• Design and implement AI features end to end, from data pipelines through GenAI and agentic workflows to production deployment • Apply sound judgment on model behavior, evaluation, reliability, and guardrails • Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL • Develop Generative AI, agentic, ML, and BI systems using RAG, embeddings, vector databases, and modern frameworks • Implement MLOps/LLMOps practices, including CI/CD for data workflows, automated agent evaluation, and infrastructure as code • Enforce data security and governance, including PII/PHI handling, authentication, and role-based access control • Own technical workstreams autonomously • Mentor junior engineers • Champion software engineering best practices across the team

🎯 Requirements

• Active Secret or Top Secret clearance required • 5+ years of relevant professional experience in a data engineering role • Experience leading technical workstreams and mentoring junior engineers • Experience driving adoption of software engineering best practices within a team • Expert-level proficiency in Python and SQL • Ability to work in polyglot environments including Scala and Java • Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems • Experience with prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and production output handling • Experience with modern frameworks including Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro • Ability to implement AI features end to end • Sound judgment regarding model behavior, evaluation, reliability, guardrails, and quality/latency/cost trade-offs • Experience implementing data security and governance controls, including PII/PHI handling, authentication, and role-based access control (RBAC) • Deep knowledge of MLOps/LLMOps • Experience with CI/CD for data workflows, automated agent evaluation using LangSmith, Opik, or Langfuse, and infrastructure as code using Terraform • Experience across AWS, Azure, and GCP • Exceptional time management and ability to own technical workstreams autonomously

🏖️ Benefits

• Employees can work remotely • Inclusive and collaborative culture • Continuous learning • Mentorship opportunities • Work on cutting-edge cloud native, DevSecOps, AI/ML, Generative AI, and agentic systems projects