Software Engineer, Data Operations at Superhuman
May no longer be active — verify on the employer site
At a glance
- Company
- Superhuman
- Location
- Berlin, Germany
- Work arrangement
- Remote
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Superhuman job
- 🏢 Superhuman has 21 jobs here, 16 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Superhuman if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Architect and lead design of large-scale data pipelines and data lakes handling billions of events.
- Build reliable real-time and batch processing systems to power analytics, features, and ML research.
- Define platform-level decisions: storage, orchestration, governance, cost optimization, and security.
- Implement and maintain cloud infrastructure (IaC), streaming (Kafka), and batch tooling (Spark/ETL).
- Collaborate with product, backend, analytics, and ML teams to deliver reusable tools and frameworks.
- Mentor engineers and contribute to technical roadmaps, standards, and operational excellence.
Requirements:
- Proven experience building distributed data systems at scale (streaming and batch).
- Strong SQL and data modeling skills; familiarity with Spark, Kafka, and ETL orchestration.
- Experience with cloud data storage/compute (Delta Lake, Snowflake, BigQuery, Redshift) and IaC (Terraform).
- Proficient in Python, Scala, or Java and production debugging/observability practices.
- Understanding of data governance, cost optimization, and privacy regulations (GDPR/CCPA).
- Strong design, communication, and mentoring skills; track record guiding technical direction.
Responsibilities
Architect and lead the development of large-scale data pipelines and data lakes handling billions of daily events. Collaborate with cross-functional teams to build tools and frameworks that power analytics and product features while mentoring other engineers.
Requirements
Requires expertise in large-scale distributed systems, production environment management, and proficiency in SQL and data engineering languages. Candidates must have experience with modern data storage technologies and a strong understanding of data privacy regulations like GDPR/CCPA.
Key skills
- Distributed Computing — in 6 other listings on The Stack
- Data Infrastructure — in 11 other listings on The Stack
- Data Governance — in 90 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Spark — in 54 other listings on The Stack
- Kafka — in 173 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Scala
- Java
- Data Modeling
- Delta Lake
- Snowflake
- BigQuery
- Redshift
- ETL Pipelines
On The Stack (as of 2026-11-05)
Frequently asked questions about Superhuman
Is this Software Engineer, Data Operations role still open?
It was posted on 2026-06-01. Listings more than 30 days old may no longer be active, so check Superhuman's site before applying.
Does Superhuman offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Superhuman's site.
Where is this role located?
The listing gives the location as Berlin, Germany. It is marked remote.
What skills does this role ask for?
The listing names: Distributed Computing, Data Infrastructure, Data Governance, SQL, Spark, Kafka, Terraform, Python, Scala, Java, Data Modeling, Delta Lake, Snowflake, BigQuery, Redshift, ETL Pipelines.