Senior Data Engineer

🕒 August 6

🌐 Georgia, Cyprus, +6 more countries – Remote

🇬🇪 Georgia – Remote 🇨🇾 Cyprus – Remote 🇷🇸 Serbia – Remote 🇵🇱 Poland – Remote 🇦🇲 Armenia – Remote 🇰🇿 Kazakhstan – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Palta

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🏥 Healthcare

💼 Consulting

📣 Marketing

💰 $100M Series B - Palta on 2021-08

Healthcare • Consulting • Marketing

Palta is a global holding company and portfolio of preventative digital health and wellness brands that build consumer-facing mobile apps and AI-powered virtual coaches. The group develops and operates large-scale B2C health and wellness products — including women's health, AI weight-management coaching, fitness coaching, and AI-driven skincare — with a focus on preventative care and personalized guidance. Palta emphasizes deep tech and data-driven solutions to make preventative healthcare and wellness accessible at scale.

📋 Description

• Design, build, and maintain streaming pipelines • Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs • Migrate existing data ingestion pipelines from SaaS tools to company infrastructure • Deliver data to the raw layer of the Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data • Evolve the AWS streaming stack, including Kinesis, SQS, Lambda, and API Gateway, improving cost efficiency, observability, and resilience • Maintain Terraform infrastructure as code for ingestion and processing resources • Monitor pipelines, troubleshoot, and resolve incidents • Contribute to safe data access for AI agents and tooling • Continuously improve ingestion architecture, tooling, and engineering practices • Make architectural decisions independently and review teammates' work • Own and monitor production systems

🎯 Requirements

• 5+ years of commercial Python experience in a backend or data engineering role • Solid understanding of distributed systems architecture, including load balancing, sharding, and synchronous/asynchronous processing trade-offs • Hands-on experience with cloud services, preferably AWS, including Lambda, API Gateway, and containers in ECS/EKS • Experience building streaming pipelines with Kinesis, SQS, or equivalents • Experience with infrastructure as code using Terraform or equivalents • Working knowledge of SQL, including joins and window functions • Commercial experience with real-world production data and handling messy, duplicated, delayed, or malformed input • Solid understanding of data flow through production systems and preventing downstream issues • Operational mindset and comfort owning and monitoring production systems • Ability to make architectural decisions independently and review teammates' work • Strong SQL and data modeling skills (nice to have) • Experience with Snowflake and dbt (nice to have) • Experience with workflow orchestrators such as Airflow, Dagster, or Prefect (nice to have) • Experience working with analytics and product teams as a data provider (nice to have) • Experience working with sensitive or regulated data (nice to have)

🏖️ Benefits

• Open-minded teams and a welcoming, inclusive company culture • Opportunity to make a real difference with a game-changing health tech product • Competitive salary package based on expertise, skillset, and impact on the product • Stock options • In-office, remote and hybrid work opportunities • Equipment whatever you need to be happy and productive • Premium SIMPLE subscription • 21 days annual leave, plus bank holidays observed where you live • Flexible hours focused on results rather than time at your desk