Lead Data Engineer - Remote, Flexible Hours, Stock Options

Nexaminds; Mexico; On-site; PHP 2,583,000 - 3,690,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship and learning opportunities

Job summary

Nexaminds is seeking a senior data engineer to own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.

You will design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans, while establishing data quality practices and automation. Collaboration with Platform/SRE and strong English communication are required.

Qualifications

• 7+ years of experience in data engineering roles delivering production systems.
• Strong SQL skills and experience modeling data for analytics and operational reporting.
• Hands-on experience with Snowflake including transformations, backfills, and performance-aware querying.
• Strong experience with Postgres or similar operational databases including schema design, bulk loading strategies, and migration concepts.
• Experience building robust batch processes including retries, throttling, idempotency, and operational monitoring.
• Demonstrated track record of creating data quality, reconciliation, and auditability controls.
• Comfort working in AWS environments and collaborating on IAM and permissions boundaries.
• Advanced English communication skills are required.

Responsibilities

• Own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.
• Design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans.
• Establish and execute data quality and validation practices including automated checks, anomaly detection, reconciliation reporting, and provenance/auditability.
• Support event-driven data correctness by validating Kafka semantics, consumer behavior, and downstream dependencies during batch operations and migrations.
• Build migration tooling and safety rails for datastore and API migrations including parity checks, cutover sequencing, and rollback validation.
• Partner with Platform/SRE to ensure production operations are safe, observable, and supportable.
• Produce clear artifacts for stakeholders including runbooks, cutover checklists, validation results, and post-mortem follow-ups when needed.

Skills

SQL proficiency

Data modeling

Snowflake

PostgreSQL

Batch processing

Data quality controls

AWS

English communication

Tools

Snowflake

PostgreSQL

Kafka

AWS

Job description

Nexaminds is seeking a senior data engineer to own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.

You will design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans, while establishing data quality practices and automation. Collaboration with Platform/SRE and strong English communication are required.