Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 194d ago
The date the source published, not the day we noticed it (2026-03-04). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
LATAM
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $7,062–7,250/mo
Middle 50% of 18 listings that do state pay — Engineering · Senior · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 2h ago · last seen just now
The listing
About CodeRoad
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
About the Role
As a Senior Data Engineer, you will own the design and evolution of scalable data pipelines and architectures. You will act as the primary anchor for data ingestion, transformation, and storage solutions, ensuring that mission-critical data is accessible and reliable. This role is open to experts in various on-demand technologies (Snowflake, Databricks, Redshift, etc.), requiring a focus on data integrity and high-performance processing. Your success is measured by the efficiency of data workflows, the reliability of data lakes/warehouses, and your ability to translate complex data requirements into technical reality.
Key Responsibilities
- Pipeline Development: Design and build robust ETL/ELT processes to handle large-scale data ingestion and transformation.
- Architecture Design: Lead the evolution of data warehouses, lakes, and streaming architectures to support business intelligence and analytics.
- Data Quality: Implement rigorous testing and monitoring to ensure data accuracy, consistency, and security.
- Optimization: Manage and tune database performance, ensuring low-latency access for downstream applications.
- Team Influence: Collaborate with Data Scientists and Stakeholders to define data models and support the growth of junior engineers through technical mentorship.
Requirements
- Experience: 5+ years of dedicated data engineering experience.
- Data Tech: Proficiency with modern data stacks (e.g., Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Languages: Advanced proficiency in SQL and Python or Scala.
- Cloud: Experience building data solutions on AWS, Azure, or GCP.
- Modeling: Strong understanding of data modeling techniques (Star Schema, Data Vault, etc.).
- Communication: Advanced English proficiency (written and verbal) for collaboration with US-based clients.
- Environment: Mandatory experience in nearshore/offshore client-facing startup cultures.
What you’ll love:
- USA Contractor / 100% Remote
- Competitive Pay (USD)
- Holidays Off & Paid Time Off
- Health insurance assistance program
- Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.