Senior Data Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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Nerdy

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

💰 $150M Post-IPO Equity - Nerdy on 2021-09

Education • Artificial Intelligence • SaaS

Nerdy is an education technology company that combines live instruction (through Varsity Tutors) with AI-powered learning tools on a purpose-built platform. It offers live 1-to-1 tutoring, weekly prep classes, workshops, instant session playback, and AI features such as session summaries, adaptive diagnostics, an on-demand AI Tutor, and a Tutor Copilot to surface examples and exercises. The platform covers 3,000+ subjects and uses data-driven expert curation and AI-based matching to connect learners with high-rated tutors and personalize practice and study agents.

📋 Description

• Own the pipelines and platform moving Nerdy’s data from source systems into a governed lakehouse • Build and operate streaming and batch ingestion from Kafka and third-party APIs into Iceberg tables • Own CDC, schema evolution, and late-arriving data • Operate the Iceberg lakehouse on Starburst Galaxy/Trino, including table layout, partitioning, compaction, retention, and cluster sizing • Build and maintain bronze, silver, and gold dbt layers • Implement incremental models, idempotent merges, and safe backfills • Push shared logic upstream to simplify downstream consumers • Design dbt Cloud schedules, dependencies, retries, and alerting • Maintain production freshness SLAs and drive incidents to root cause • Implement data quality tests, contracts, freshness and volume monitoring, lineage, and access controls • Handle PII within privacy and security guardrails • Tune queries, file layout, and cluster usage to improve performance and manage costs • Manage clusters, storage, and access through Terraform and CI • Partner with Analytics Engineering, Product Engineering, and business teams on dependable data products • Maintain versioned Git code, review pull requests, run CI/CD, and document sources, models, and runbooks • Use AI for code generation and review, test scaffolding, pipeline debugging, data profiling, and anomaly detection

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Math/Stats, or equivalent experience • 3+ years as a Data Engineer or similar in high-growth environments • Expert SQL and strong Python • Experience building unattended, self-recovering production pipelines • Experience with Iceberg on Trino/Starburst Galaxy or similar lakehouse technologies such as Delta Lake, Hudi, Spark, Databricks, or Presto/Athena • Streaming experience with Kafka/Confluent or similar, including schema registry, CDC, and idempotent lakehouse loading • Proficiency with dbt and dbt Cloud, including incremental models, macros, tests, and documentation • Experience with Airflow or Dagster • Solid AWS experience with S3, IAM, and Glue/REST catalogs • Infrastructure as code experience with Terraform or similar • Knowledge of data modeling, partitioning, incremental processing, and large-dataset backfill strategies • Git-based development and CI/CD familiarity • Disciplined approach to code reviews, releases, and on-call • Experience with AI-native productivity tools • Alignment with Nerdy’s apolitical, mission-focused culture

🏖️ Benefits

• Competitive USD-benchmarked compensation, paid in local currency • 100% remote within your home country; no relocation required • Flexible paid time off • Paid official national holidays • Free all-inclusive learning membership for the employee and household • 1-on-1 tutoring hours and unlimited on-demand classes • Access to Nerdy’s learning products and services • Access to cutting-edge AI tools • Regular training and peer reviews • Collaborative culture • Opportunity to make a global impact