Data Engineer

Recare Deutschland GmbH; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Edenred card

Extra vacation day

Flexible working hours

Remote-friendly company

Job summary

Recare Deutschland GmbH is seeking a Senior Data Engineer to own the data platform moving data into Snowflake with robust ingestion, orchestration and quality checks. You will shape pipelines across analytics and product data, build event pipelines and maintain modeling that links usage to revenue.

You will work in a remote-friendly environment with flexible hours, engage in privacy-focused data practices, and collaborate with product, RevOps and Finance to ensure consistent metrics and trusted

Qualifications

• 5+ years creating production data pipelines in data-intensive environments.
• Strong Python and production-grade coding practices.
• Advanced SQL using window functions and CTEs.
• Experience with Snowflake and cost management.
• Familiarity with dbt and data transformation tooling.
• Proven ingestion fundamentals, CDC, idempotency and backfills.
• Orchestrators like Airflow or Dagster in production.
• AWS experience and container deployment understanding.
• Data quality mindset with validation and monitoring.
• GDPR familiarity and pseudonymisation capabilities.
• English fluency; German is a plus.
• Healthcare/regulated domain exposure; integrating CRMs (HubSpot/Salesforce).
• Event tracking design (Snowplow/Segment) and privacy-aware data models.
• Kubernetes in production and Snowflake-as-code discipline.
• Ability to explain trade-offs to non-engineers; strong documentation.

Responsibilities

• Own the data platform moves data into Snowflake with reliable ingestion.
• Design pipelines, ensure clear dependencies, retries, and SLAs.
• Define orchestration to prevent partial or incorrect downstream data.
• Build event pipelines for new products; align with product and finance definitions.
• Maintain dbt models linking product usage to revenue data.
• Integrate CRM and SaaS systems; enable two-way sync where needed.
• Establish data quality checks, monitoring and alerting.
• Enforce RBAC, masking, pseudonymisation and deletion across data stores.
• Treat data code with same engineering rigor as product code; ensure CI/CD and docs.

Skills

Experience (5+ years) in data Piplines

Python

SQL

Data ingestion

Data quality

GDPR

English (fluent)

Go

Go code

AI coding tools

Kubernetes

Snowflake

dbt

Airflow

HubSpot / Salesforce integration

German language

Tools

Snowflake

dbt

Airflow

Kubernetes

AWS

Docker/Containers

Go

Snowflake as code

HubSpot

Salesforce

Job description

Описание:

As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. Our data flows from our applications, product events and business systems, in a highly regulated healthcare context. This role exists to build the platform that makes sure that data arrives complete, on time and safe to use, so Product, leadership, RevOps and Finance work from the same numbers. You will be the first data engineer in a new data team that sits in Product, works across the company and reports to the Head of Data. You will own the platform that moves our data into Snowflake and shape the architecture decisions around it: which tools we build on, how pipelines are orchestrated and monitored, and how data infrastructure is managed as code.

What to expect

This is what you can expect from us as a Senior Data Engineer:

• Purposeful work – your work gives the teams serving hospitals and aftercare providers data they can trust.
• Real ownership – as the first data engineer in a new team, you shape the data platform and its tooling.
• Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you.
• Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We'll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.
• Edenred card – which you can use according to your needs.
• Extra vacation day – so you can celebrate your birthday with your loved ones, you'll have the day off.

Задачи:

Data from our application databases, product events and SaaS tools needs to reach Snowflake reliably. You build and run that ingestion and decide where to buy a managed connector and where to build. Our pipelines need clear dependencies, retries, alerting and SLAs. You set up orchestration so a failed or partial load stops downstream work instead of silently producing wrong numbers. New products need event pipelines. You design them together with engineers, keeping patient data out of analytics events by design. Product and Finance need to work from the same definitions. You maintain the dbt models that connect product usage with customer, billing and revenue data. Our CRM (HubSpot) and our internal systems need to talk to each other. You build the data flows between them, including two-way synchronisation where it is needed. Data quality problems need to be caught before a dashboard or a board report does. You establish validation, monitoring and alerting. Our data needs strong privacy and access controls. You enforce role-based access and masking in Snowflake, pseudonymisation, and deletion that propagates across raw and modelled data. Data code needs the same engineering standards as our product code. You bring code review, testing, documentation and CI/CD to it.

How we build

We run a modern cloud-native stack to move, model and protect data reliably in a regulated healthcare environment. Cloud: AWS (The European Sovereign Cloud partition) Runtime: Kubernetes (EKS) and Postgres (RDS) Warehouse and modelling: Snowflake (EU), dbt Orchestration: Airflow or Dagster (being introduced) BI: Looker Observability: Datadog CI/CD: GitHub Enterprise Cloud with Actions Infrastructure: CloudFormation Business systems: HubSpot, Chargebee

Требования:

Several years (typically 5 or more) building production data pipelines, as a data engineer or as a backend engineer on data-intensive systems.

Strong Python: you write tested, maintainable production code, not only scripts.

Advanced SQL, including window functions, CTEs and query optimisation.

Production experience with Snowflake or a comparable cloud warehouse: compute sizing and cost control, role-based access, masking, and performance tuning.

Experience with dbt, or a similar tool for tested and documented transformations.

Solid ingestion fundamentals: initial versus incremental loads, change data capture from Postgres, idempotency, schema evolution, late and out-of-order data, and backfills.

Production experience with an orchestrator such as Airflow or Dagster.

Experience with AWS and with deploying your own work in containers.

A data quality mindset: you profile data, test assumptions and build checks.

Practical knowledge of GDPR: you can identify personal data and implement pseudonymisation, access control and deletion.

You use AI coding tools in your daily work and know where they help and where they need checking.

Ability to own decisions as the only data engineer and to explain technical trade-offs to non-engineers.

Preference for writing over talking, resulting in clear, concise, yet complete documentation and asynchronous communications.

Fluent English, written and spoken. Other languages are a plus.

Healthcare or regulated-domain experience (e.g. ISO 27001, C5).

Integrating CRM and SaaS systems such as HubSpot or Salesforce, including reverse ETL or two-way sync.

Designing product event tracking (e.g. Snowplow or Segment).

Kubernetes in production.

Reading and changing Go code.

Managing Snowflake as code.

German language skills.

Our values

Strong opinions, weakly held. We adapt, negotiate trade-offs, and reconsider decisions when necessary. We don't stick to one implementation – we re-evaluate and adjust as needed (including throwing away the old one). Pragmatic choice of tools and avoidance of one-size-fits-all thinking. Bringing professionalism and empathy to how you work with others. Strong belief in solid technical fundamentals and preference for understanding and first principles over memorization.