Machine Learning Engineer, Robot Learning - Robotics Software Firm in High Growth
Senior Data EngineerAbout The RoleDesign and scale data platforms that power analytics, ML, and product features. You’ll build streaming and batch pipelines, enforce data contracts, and ensure trust in critical datasets.Responsibilities
Develop ELT/ETL and near-real-time pipelines (Kafka/Flink/Spark) with strong SLAs.
Model data (Dimensional/Data Vault), implement governance, lineage, and quality checks.
Operate cloud data warehouses (Snowflake/BigQuery/Redshift) and lakehouse patterns (Iceberg/Delta/Hudi).
Enable self-service with dbt, catalogs, and metrics layers; partner with DS/BI stakeholders.
Requirements
5+ years in data engineering; strong SQL and Python/Scala.
Experience with orchestration (Airflow/Dagster) and CI/CD for data.
Focus on reliability, cost efficiency, and documentation.
About AndiamoTalent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Staffing and Recruiting
Tags & Focus Areas
About Andiamo
Develop Generative Applications: Build production-ready systems leveraging LLMs and generative models for NLP, code, and multimodal use cases. Integrate with Products: Design APIs and services that embed generative AI capabilities into customer-facing applications. Optimize Models: Fine-tune, distill, and adapt foundation models to specific tasks and domains for efficiency and performance. Leverage Retrieval & Memory: Implement retrieval-augmented generation (RAG), vector search, and embed...