Data Engineer

Job not on LinkedIn

🔥 15 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

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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Stack Exchange

WebsiteLinkedInAll Job Openings

- employees

Founded 2009

💼 Consulting

📣 Marketing

📚 Education

💰 $40M Series D on 2015-01

Consulting • Marketing • Education

Stack Exchange is a network of question-and-answer (Q&A) communities, each focused on a specific topic, ranging from physics and law to worldbuilding and role-playing games. The platform enables experts to share knowledge and earn trust through providing helpful answers, which are upvoted by peers to ensure the best solution is easily accessible. Stack Exchange fosters communities of passionate individuals, where users can gain reputation and privileges, making it a resourceful site for learning and collaboration.

📋 Description

• Embed with engineering teams to turn application requirements into data models, pipeline designs, and clear interfaces between systems • Design, build, and operate production data operations using SQL, Python, PySpark, and cloud data technologies such as Databricks • Integrate APIs, databases, and structured, semi-structured, and unstructured content • Build ingestion and transformation workflows for application services and downstream capabilities • Design customer-aware data flows preserving tenant boundaries, source permissions, data lifecycle requirements, updates, deletions, and regional constraints • Make pipelines resilient through incremental processing, checkpointing, safe retries, backfills, replay, and data-quality checks • Build observability for data freshness, completeness, processing progress, and pipeline failures • Evaluate architecture and tooling for reliability, performance, maintainability, and operating cost • Maintain and improve shared datasets and pipelines supporting application features and internal analytics • Contribute to design reviews, testing, documentation, and deployment practices • Share knowledge and mentor less experienced engineers

🎯 Requirements

• 5+ years of relevant engineering experience, including building and operating production data pipelines and contributing to their architecture • Strong SQL and Python skills • Experience with relational databases, data modeling, and query optimization • Experience integrating external APIs and working with changing schemas, imperfect source data, and incremental updates • Experience applying software engineering practices to data systems, including version control, automated testing, code review, CI/CD tooling, observability logging and monitoring • Ability to investigate issues across ingestion, transformation, and downstream delivery • Ability to explain technical tradeoffs and collaborate with technical and non-technical stakeholders • Track record of sharing knowledge and helping other engineers grow • Communication and self-direction needed to work effectively on a distributed team • Experience with Azure/GCP and cloud data platforms such as Databricks, Apache Spark, Delta Lake, or comparable technologies

🏖️ 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 all full-time employees • Company-paid Life Insurance • Home Internet stipend • Professional allocation for growth and development • One-time allowance to assist with home office setup • Company-paid access to Calm, Prosus Academy and Overdrive