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Circadia Health
Senior Data Engineer
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Based on New Jersey data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$116,216 / year median in New Jersey
+11% projected growth
Job Description
Senior Data Engineer | AI/Healthcare | $180K-$240KJersey City, NJ | Hybrid | Full-TimeWe're working with a fast-growing technology company in the AI and healthcare space that's looking to add a Senior Data Engineer to its growing engineering team.
This is a hands-on role focused on building and scaling production data infrastructure that supports high-volume applications, analytics, and machine learning systems. You'll own critical pipelines from ingestion through transformation and storage while working closely with backend and ML engineers.
What You'll DoDesign, build, and maintain scalable, high-throughput data pipelinesBuild integrations with external systems using APIs, webhooks, and change data capture (CDC)Transform, validate, and normalize complex datasets for production and analytical useDesign and optimize schemas across Snowflake and MySQLBuild data infrastructure supporting real-time applications and downstream ML workloadsDeploy and operate production data pipelines and services in AWSImplement monitoring, logging, alerting, and data-quality checksImprove pipeline reliability, scalability, and performanceBuild internal tooling around data ingestion, validation, and monitoringPartner closely with backend and ML engineersEnsure appropriate security and compliance practices for sensitive dataWhat You Need5+ years of experience in Data Engineering or Backend EngineeringStrong Python and SQLHands-on experience with Snowflake and MySQLExperience designing and building production data pipelinesProduction experience with AWSExperience with APIs, webhooks, and event-driven architecturesExperience with CDC or high-volume database ingestionStrong understanding of schema design and database performance optimizationExperience working with sensitive or regulated dataBachelor's degree in Computer Science or a related technical fieldAbility to work onsite in Jersey City, NJ at least 3 days per weekNice to HaveExperience building data infrastructure for machine learning or AI systemsExperience in healthcare or another highly regulated industryExperience working in a startup or high-growth engineering environmentCompensation & Benefits$180,000-$240,000 base salary + equity100% company-paid medical, dental, and vision coverage401(k) with company matchGenerous PTOCommuter stipendBenefits
This is a hands-on role focused on building and scaling production data infrastructure that supports high-volume applications, analytics, and machine learning systems. You'll own critical pipelines from ingestion through transformation and storage while working closely with backend and ML engineers.
What You'll DoDesign, build, and maintain scalable, high-throughput data pipelinesBuild integrations with external systems using APIs, webhooks, and change data capture (CDC)Transform, validate, and normalize complex datasets for production and analytical useDesign and optimize schemas across Snowflake and MySQLBuild data infrastructure supporting real-time applications and downstream ML workloadsDeploy and operate production data pipelines and services in AWSImplement monitoring, logging, alerting, and data-quality checksImprove pipeline reliability, scalability, and performanceBuild internal tooling around data ingestion, validation, and monitoringPartner closely with backend and ML engineersEnsure appropriate security and compliance practices for sensitive dataWhat You Need5+ years of experience in Data Engineering or Backend EngineeringStrong Python and SQLHands-on experience with Snowflake and MySQLExperience designing and building production data pipelinesProduction experience with AWSExperience with APIs, webhooks, and event-driven architecturesExperience with CDC or high-volume database ingestionStrong understanding of schema design and database performance optimizationExperience working with sensitive or regulated dataBachelor's degree in Computer Science or a related technical fieldAbility to work onsite in Jersey City, NJ at least 3 days per weekNice to HaveExperience building data infrastructure for machine learning or AI systemsExperience in healthcare or another highly regulated industryExperience working in a startup or high-growth engineering environmentCompensation & Benefits$180,000-$240,000 base salary + equity100% company-paid medical, dental, and vision coverage401(k) with company matchGenerous PTOCommuter stipendBenefits