← All jobs
CodeRoad

Senior Data Engineer

Latin America
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

About the role

Engagement Type: Full-Time / Contractor

CodeRoad's standard text

About CodeRoad

CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.

Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.

Why Build Your Career at CodeRoad?

High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.

Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.

Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.

High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.

Key Responsibilities

Architect & Build Data Pipelines: Lead the design and implementation of scalable, production-grade ETL/ELT pipelines for large-scale data ingestion, transformation, and processing using tools like Apache Spark, Airflow, Kafka, and dbt.

Evolve Cloud Data Architecture: Design and optimize cloud data warehouses, lakes, and lakehouses (Snowflake, Databricks, BigQuery, or Amazon Redshift) to support advanced analytics, BI, and reporting workloads.

Drive Data Quality & Observability: Implement automated data validation schemas, monitoring frameworks, and testing suites to ensure low-latency performance, high data accuracy, and strict security compliance.

Master Data Modeling & Optimization: Engineer resilient data models utilizing enterprise frameworks (Star Schema, Data Vault 2.0, Dimensional Modeling) while tuning query performance and storage efficiency.

Collaborate Across Engineering PODs: Partner closely with Data Scientists, ML Engineers, and Business Analytics stakeholders to translate complex business objectives into scalable technical data architectures.

Elevate Team Standards: Mentor mid-level and junior data engineers, establish automated deployment patterns for data pipelines, and maintain comprehensive architectural documentation.

What You Bring

Core Experience: 5+ years of dedicated professional data engineering experience, with a proven track record of architecting distributed data platforms in high-velocity startup or nearshore environments.

Data Tech Stack Mastery: Deep hands-on experience with modern data orchestration and processing engines (Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, Databricks, BigQuery, or Redshift).

Programming & Scripting: Advanced proficiency in Python or Scala, coupled with expert-level mastery of complex SQL performance tuning and query optimization.

Cloud Infrastructure & Modeling: Hands-on experience building enterprise data solutions on AWS, Azure, or GCP, alongside a deep command of data modeling paradigms (Star Schema, Data Vault).

Ownership Mindset: Strong autonomous troubleshooting capabilities, a passion for data integrity, and a proactive approach to optimizing workflow efficiencies.

Language Proficiency: Advanced English fluency (both written and spoken) is mandatory for direct, real-time collaboration with U.S.-based client teams and stakeholders.

What You’ll Love

USA Contractor / 100% Remote

Competitive Pay (USD)

Holidays Off & Paid Time Off

CodeRoad's standard text

Health insurance assistance program

Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.

Ready to Build What Actually Ships?

Explore opportunities and submit your application today!

What this role asks for

Particular to this role

Airflow · BigQuery · Databricks · Kafka · Redshift · Scala · dbt

Rare in CodeRoad's other 21 open postings.

Standard for data engineering roles

AWS · Data Warehousing · ETL · GCP · Python · SQL · Snowflake · Spark

Common in data engineering postings at any company.

In most of CodeRoad's ads

Azure

Named in most of its open postings, whatever the role.

58% of this description is written for the role. The rest is CodeRoad's standard text, folded away below.

Read against CodeRoad's other open postings on this site.

The team: CodeRoad HIRES STEADILY

This role is one of 22 open in CodeRoad. 8 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Azure (14 of 22), CI/CD (13 of 22), Python (11 of 22), REST (11 of 22), AWS (10 of 22), SQL (9 of 22), LangChain (8 of 22)

OTHER ROLES ON THIS TEAM

From the team and dates on CodeRoad's own job board.

Other openings for this role

2 open postings for this role in Latin America, first posted 2 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

101 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.

Similar jobs

Is this your posting and you want it taken down? Email info@careerholo.com.