
Master Data Engineer
2 days ago
We're seeking a talented Data Engineering Lead to drive the development and operation of production-grade data pipelines.
The ideal candidate will have hands-on experience with data engineering, strong leadership skills, and the ability to communicate effectively across time zones.
- Technical Leadership & Delivery
- Lead a small squad or workstream; scope milestones; manage dependencies and risks;
- Unblock engineers; communicate status to stakeholders; land outcomes on time
- Architecture & Direction
- Define target states and data contracts; make build/buy calls; author RFCs;
- Drive cost/performance guardrails and reliability patterns
- Data Pipelines
- Design, build, and operate reliable batch and change-driven pipelines;
- Schedule/orchestrate jobs; handle schema evolution and failures gracefully
- Transformations & Modeling
- Implement clean, tested merge/transformation pipelines;
- Produce models that are easy to consume for products and analytics;
- Tune SQL for performance
- APIs & Integration
- Build or collaborate on APIs for data access/updates;
- Design request/response contracts; handle auth (OAuth2/OIDC/JWT), idempotency, validation, and auditing
- Infrastructure & DevOps
- Provision/manage cloud resources with Terraform;
- Automate build/test/deploy with CI/CD;
- Write solid shell scripts for glue/ops tasks
- Observability & Reliability
- Instrument logs/metrics/traces;
- Define SLOs and on-call runbooks;
- Lead incident reviews and drive root-cause prevention
- Security & Compliance
- Apply least-privilege access, secrets management, and encryption in transit/at rest;
- Partner on compliance requirements
- Quality & Standards
- Champion unit/integration/data-quality tests (including SQL);
- Enforce code health via reviews, linters, and CI checks
- Collaboration & Docs
- Operate async-first;
- Produce concise docs (data contracts, mappings, runbooks, RFCs);
- Collaborate closely with product/engineering/analytics across time zones
- Proven Leadership
- Led engineers or owned large, multi-team projects;
- Comfortable running design reviews and giving actionable feedback
- Strong SQL
- Tuning, indexing, query plans;
- Solid RDBMS fundamentals (e.g., Postgres, SQL Server, MySQL)
- Programming Languages
- Python for data work and services;
- Comfortable with shell scripting (bash preferred; Powershell acceptable)
- CLOUD PLATFORMS
- Terraform and IaC fundamentals;
- CI/CD experience (version control workflows, automated tests, environment promotion)
- CLOUD SERVICES
- Azure preferred (storage, compute, identity, monitoring);
- If not Azure, very strong AWS background
- DATA INTEGRATION
- Ingestion (batch + change-driven), orchestration, schema/versioning, resilient retries/replays
- WORKFLOW ORCHESTRATION
- Prefect preferred (flows/deployments, retries/backoff, scheduling, observability);
- Airflow/Dagster also acceptable
- APIs & AUTHENTICATION
- REST patterns, pagination, validation, rate limiting, OAuth2/OIDC/JWT
- OBSERVABILITY
- Logs/metrics/traces and actionable alerts/dashboards
- TESTING MINDSET
- Habit of writing tests for code and SQL;
- Fixtures/test data; CI
- COMMUNICATION
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