Senior Data Engineer

ABOUT AIVAR INNOVATIONS

Aivar Innovations is an AI-native services and software company and AWS Preferred Partner, backed by Bessemer Venture Partners and Sorin Investments. Founded by four former Amazon Web Services senior leaders, Aivar combines deep cloud engineering expertise with AI-first thinking to build and deploy production-grade solutions at enterprise scale. Aivar operates three accelerator platforms Convogent (voice and agent AI automation), Velogent (governed agentic process automation for regulated industries), and Kubogent (Kubernetes-native AIOps). We raised $4.6 million in seed funding in January 2026 and serve 100+ customers across fintech, healthcare, and technology verticals in 7+ industries globally

.
About the Ro

le
You'll build the data foundation powering Aivar's accelerators and the autonomous agents that run on top of them. That means designing pipelines that turn unstructured enterprise data invoices, contracts, transactions, RFQs into structured, high-quality datasets agentic AI can reason on with full lineage and auditability. This is a senior IC role: you'll own production systems end-to-end and raise the technical bar for the engineers around y

ou.
What You'll

• OwnPipelines. Design and run ingestion, processing, and feature engineering pipelines handling terabytes of unstructured enterprise data across multiple sources and form
• ats.Architecture contribution. Make calls on warehousing, lakehouse, and streaming patterns that support both real-time agent decisions and downstream analyt
• ics.Quality & governance. Build the validation, lineage, and audit frameworks that let regulated clients trust agent decisions in product
• ion.Production reliability. Own SLAs, monitoring, and incident response for the pipelines you s
• hip.Mentorship. Review designs, level up junior engineers, and set the standard for engineering rigor on the t

eam.
Who Yo

• u Are4+ years building production data systems, with at least 2 years owning pipelines end-t
• o-endComfortable making independent design calls and defending them in r
• eviewPragmatic about quality you know when to enforce it and when to ship and it
• erateHave shipped data infra into regulated environments (financial, healthcare, or similar) or are eag

er to
Must-Have Exp

• ertiseDistributed processing: Apache Spark, Flink, or AWS Glue at production
• scaleAWS data stack: S3, Glue, Athena, RDS, DynamoD
• B, MSKPipeline engineering: ETL/ELT with error handling, retries, and monitoring; dbt for transform
• ationsQuality & governance: Great Expectations or equivalent; lineage, metadata, and compliance frameworks (GDPR, HIPAA, or
• SOC 2)Languages: Strong Python a
• nd SQLStreaming: Kafka or Redis Streams in prod

uctionNice t

• o HaveFeature engineering on unstructured data document classification, entity extraction, semantic tagging (spaCy, transformers, Lang
• Chain)Vector stores in production (Pinecone, Weaviate, pgv
• ector)Infrastructure as Code (Terraform or CDK) and observability (Prometheus, Grafana, OpenTele
• metry)Prior work supporting ML/AI or agentic systems down

streamWhat Will Set You

• ApartA pipeline you've personally owned in production that you can walk us through end-
• to-endExperience designing for compliance-critical enviro
• nmentsA point of view on the right balance between batch, streaming, and on-demand processing for agent wor

kloads

WHAT YOU'LL

BUILD:-
DIVERSITY &

INCLUSION
Aivar Innovations is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, gender identity, sexual orientation, religion, disability, age, marital status, caste, or any other protected characteristic. We are committed to building a diverse, inclusive, and respectful workplace for

everyone.Requi

red SkillsData Engineer, Lake architecture, Streaming data, NLP & AI Data, Unstructured data masteryend-to-end data pipelines, Pipeline Design, Distributed computing, Data Architecture, Da