Sr. Data Engineer

Oteemo is an industry-leading technology consulting firm at the forefront of AI-driven, cloud native, enterprise Dev Sec Ops  transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical and business challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting-edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core.

We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.

We're looking for a Senior Data Engineer to design and implement AI features end to end - from data pipelines through GenAI and agentic workflows to production deployment. In this role, you'll build and optimize scalable, secure data pipelines across polyglot client enterprise environments, develop Generative AI, agentic, ML, and BI systems using modern frameworks, and implement MLOps/LLMOps practices across AWS, Azure, and GCP.

You'll own technical work streams autonomously, mentor junior engineers, and bring sound judgment on model behavior, evaluation, reliability, and guardrails to everything you build.

Responsibilities:

• Help design and implement AI features end to end - from data pipelines through GenAI/agentic workflows to production deployment - applying sound judgment on model behavior, evaluation, reliability, and guardrails.
• Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL across polyglot client enterprise environments.
• Develop Generative AI, agentic, ML, and BI systems using RAG, embeddings, vector databases, and modern frameworks (Spark, Lang Chain, Databricks, Airflow, and similar).
• Implement MLOps/LLMOps practices - CI/CD for data workflows, automated agent evaluation, and infrastructure as code across AWS, Azure, and GCP.
• Enforce data security and governance, including PII/PHI handling, authentication, and role-based access control.
• Own technical work streams autonomously, mentor junior engineers, and champion software engineering best practices across the team.

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

We Value:

• Drive:Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity
• Commitment to Quality:Passion to conceive and produce world-class solutions that drive real-world value for the customer
• Customer Focus:Consultative approach to solving problems for customers. Expectations management.
• Communication:Superior communication skills. Ability to clearly articulate problems, solutions, risks, rewards etc. (written and verbal)
• Technical
  
  Skills:
  
  Love for technology. You have to be inherently passionate about technology.
• Business Acumen:Technology ultimately is used to enable the business. We…