Remote opportunity at
Stack ExchangeData Engineer
Stack Exchange operates Stack Overflow, a widely used platform for developers to find programming answers, collaborate, and discover career opportunities. The organization functions as a remote-first…
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About This Role
Stack Exchange operates Stack Overflow, a widely used platform for developers to find programming answers, collaborate, and discover career opportunities. The organization functions as a remote-first entity with hiring hubs located in the US, Canada, the UK, and Germany. The company is seeking a Data Engineer to design and deliver data capabilities that support new application features. In this role, the professional will collaborate closely with software engineers and product…
Job Description
Stack Exchange operates Stack Overflow, a widely used platform for developers to find programming answers, collaborate, and discover career opportunities. The organization functions as a remote-first entity with hiring hubs located in the US, Canada, the UK, and Germany.
The company is seeking a Data Engineer to design and deliver data capabilities that support new application features. In this role, the professional will collaborate closely with software engineers and product partners to build scalable connections, establish reliable data contracts, and transform raw data into consistent models. Responsibilities include building ingestion and transformation workflows, maintaining tenant boundaries and regional constraints, and ensuring pipeline resilience through incremental processing and observability. This position suits an experienced engineer who enjoys solving complex data challenges in a distributed work environment.
Responsibilities
- Collaborate with engineering teams to translate application requirements into data models, pipeline designs, and clear system interfaces.
- Build and operate production data operations utilizing SQL, Python, PySpark, and cloud data tools like Databricks.
- Construct ingestion and transformation workflows to supply usable data to application services and downstream consumers.
- Implement tenant-aware data flows that respect source permissions, update requirements, deletions, and regional constraints.
- Enhance pipeline resilience by incorporating incremental processing, checkpointing, retries, replays, and data quality checks.
- Establish observability mechanisms to track data freshness, completeness, progress, and pipeline failures.
- Evaluate architecture and tooling choices to balance reliability, performance, maintainability, and cost.
- Maintain shared datasets and pipelines supporting both application features and internal analytics.
- Contribute to design reviews, testing, documentation, and deployment practices while mentoring junior team members.
Requirements
- Minimum of 5 years of relevant engineering experience building and operating production data pipelines and contributing to architecture.
- Proficiency in SQL and Python, including relational database work, data modeling, and query optimization.
- Experience integrating external APIs and managing changing schemas, imperfect source data, and incremental updates.
- Familiarity with software engineering practices applied to data systems such as version control, automated testing, CI/CD, and monitoring.
- Ability to communicate technical tradeoffs and collaborate with various stakeholders.
- Experience with Azure or GCP alongside cloud data platforms like Databricks, Apache Spark, Delta Lake, or comparable technologies.
Qualifications
- Experience building data systems for customer-facing applications, multi-tenant products, or third-party integrations.
- Familiarity with document processing, knowledge systems, or AI-powered feature pipelines.
- Background in access controls, data governance, regional requirements, or customer data retention and deletion.
- Experience with event-driven processing, infrastructure as code, and cloud workload cost optimization.
Core Skills
Benefits
- Competitive base salary
- Generous paid vacation
- Generous parental leave, family care leave, and unlimited sick days
- Industry-leading health benefits applicable per country of residence for full-time employees
- Company-paid life insurance
- Home internet stipend
- Professional allocation for growth and development
- One-time home office setup allowance
- Company-paid access to Calm, Prosus Academy, and Overdrive
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Stack Exchange operates as a remote-first company with hiring hubs situated in the US, Canada, the UK, and Germany.
What level of experience is required for this role?
The posting requires 5 or more years of relevant engineering experience, which includes building and operating production data pipelines.
What technologies will I be expected to use?
The role requires strong SQL and Python skills, along with experience using cloud data technologies such as Databricks, Apache Spark, and Delta Lake on Azure or GCP.
What is the salary for this position?
The salary is not stated in the source posting, though it mentions a competitive base salary is provided.
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