Stack Overflow

Stack Overflow

Stack Overflow, founded in 2008, is a leading platform that empowers developers worldwide to learn, share knowledge, collaborate, and advance their careers through collective expertise. With products like Stack Overflow for Teams, Advertising, and Tale...

Internet Software & Services
251-1K
Founded 2008

Description

  • Translate application requirements into data models, pipeline designs, and system interfaces with engineering teams.
  • Design, build, and operate production data systems using SQL, Python, PySpark, Databricks, and cloud technologies.
  • Develop ingestion and transformation workflows for application services and downstream use cases.
  • Design tenant-aware data flows supporting permissions, lifecycle requirements, updates, deletions, and regional constraints.
  • Improve pipeline resilience through incremental processing, checkpointing, retries, backfills, replay, and data-quality checks.
  • Build observability for data freshness, completeness, processing progress, and failures.
  • Evaluate architecture and tooling based on reliability, performance, maintainability, and cost.
  • Maintain shared datasets and pipelines supporting product features and internal analytics.
  • Contribute to design reviews, testing, documentation, deployments, knowledge sharing, and mentoring.

Requirements

  • 5+ years of relevant engineering experience building and operating production data pipelines and contributing to architecture.
  • Strong SQL and Python skills, including relational databases, data modeling, and query optimization.
  • Experience integrating external APIs and handling changing schemas, imperfect data, and incremental updates.
  • Experience with version control, automated testing, code review, CI/CD, logging, monitoring, and observability.
  • Experience with Azure or GCP and platforms such as Databricks, Apache Spark, or Delta Lake.
  • Ability to investigate issues across ingestion, transformation, and downstream delivery.
  • Strong communication skills for explaining technical tradeoffs and collaborating with technical and non-technical stakeholders.
  • Experience sharing knowledge, mentoring engineers, and working independently on distributed teams.
  • Experience with multi-tenant customer-facing systems or third-party integrations is preferred.
  • Experience with AI-related data pipelines, governance, regional requirements, event-driven processing, infrastructure as code, or cloud cost optimization is preferred.

Benefits

  • Competitive base salary.
  • Generous paid vacation and unlimited sick days.
  • Parental leave and family care leave.
  • Country-specific health benefits and company-paid life insurance.
  • Home internet stipend and one-time home office setup allowance.
  • Professional development budget.
  • Company-paid access to Calm, Prosus Academy, and Overdrive.
  • Remote-first work environment.

Interested in this position?

Apply directly on the company website

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