Job Title: Data Engineer

Company Name: Neon

Job Details: $160k-$220k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/ml4pkp7i6os1xnst

Job Description: Posted 2mo agoData Engineer@ NeonView All JobsWebsiteNew York City or United States$160k-$220k/yrRemoteFull TimeResponsibilities:designing pipelines, optimizing storage, building ingestionRequirements Summary:4+ years in data engineering, Python + SQL, data orchestration (Airflow/Kafka), cloud (AWS Redshift/S3, Databricks or Snowflake), strong data modeling and lineage.Technical Tools Mentioned:Airflow, Kafka, Python, SQL, AWS, Redshift, S3, Databricks, Snowflake, ETL, Data Modeling
About NeonMany large companies make billions each year by monetizing Americans’ personal data. At Neon, we’re finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data.We recently raised over $25 million from investors including Lightspeed, Upper90, and Upfront Ventures.About the roleAs the third AI hire at an AI training data company, you will be an incredibly important part of our team. You’ll truly be doing it all: helping with data quality, sampling, classification, packaging, privacy, and more.You’ll be working on…Designing and implement scalable, automatable, and robust data orchestration pipelines and data‑lineage workflows.Optimizing data storage systems for query performance, cost-efficiency, and growth across structured and unstructured datasets.Building and maintaining components of Neon’s core platform, such as ingestion APIs, metadata registries, and compliance logging.Driving continuous improvement in data quality, reliability, observability, and pipeline resilience.Collaborating with product and business-facing teams to support customer onboarding, validate production data flows, and triage escalations.You have…Authorization to work in the US.4+ years of professional experience in data engineering, building production data systems with Python + SQL.Hands-on expertise with data orchestration tools (Airflow/Kafka/etc.), metadata tracking, ETL, and data platforms.Experience with cloud platforms like AWS (Redshift, S3, etc.), Databricks or Snowflake preferred.A strong understanding of data modeling, versioning, pipeline observability, and data lineage tracking.A startup mindset and comfort in fast-moving environments; skilled at solving ambiguous, large-scale data problems.Strong communication skills: you can distill technical complexity for stakeholders across engineering and business teams.Bonus points if you’ve worked at one of the top voice AI labs.CompensationCompetitive salary equity.Cash: $160-$220KEquity: 0.15-0.4%