CodeRoad

Senior Data Engineer

Latin America
Level
Senior

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

Open. First seen 4 November 2026.

Apply on the company's site →

About the role

Engagement Type: Contractor (100% Remote, Latin America)

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 & Scale Robust Pipelines: Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures that ingest, process, and deliver large, complex datasets reliably.

Drive Automation & System Reliability: Identify opportunities to automate manual workflows, optimize query execution, and re-engineer cloud infrastructure to enhance data freshness, scalability, and system fault tolerance.

Modernize Cloud Data Infrastructure: Build production-grade ETL/ELT pipelines using Python, SQL, and enterprise cloud ecosystems (Azure / GCP) to extract and unify data across distributed sources.

Empower Analytics & AI Initiatives: Develop, test, and maintain tailored data tooling, data marts, and feature stores that enable analytics engineers and data scientists to deploy performant models and business intelligence solutions.

Take Technical Ownership: Collaborate directly with cross-functional stakeholders in North America, leading root cause analysis on pipeline bottlenecks, managing dependencies, and ensuring sound data governance across environments.

What You Bring

Proven Engineering Track Record: 4+ years of professional experience in data engineering, with proven expertise in data modeling, metadata management, and workload orchestration.

Core Technology Mastery: Advanced proficiency in Python and complex SQL; hands-on production experience with Databricks (Scala experience is a strong plus).

Big Data & Cloud Tooling: Practical experience with distributed processing engines like Apache Spark, paired with cloud data platforms such as Azure Data Factory, Azure Synapse, or Google BigQuery.

Modern Pipeline Delivery: Solid track record architecting both stream-based and batch-oriented data pipelines capable of handling semi-structured and unstructured data at scale.

Consultative Mindset & Communication: Advanced English proficiency (B2+/C1) with exceptional written and spoken communication skills, comfortable driving technical conversations with U.S.-based engineering teams aligned to East or West Coast business hours.

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

BigQuery · Databricks · Scala

Rare in CodeRoad's other 26 open postings.

Standard for data engineering roles

ETL · GCP · Python · SQL · 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.

56% of this description is written for the role. The rest is CodeRoad's standard text, folded away below.

Compared with CodeRoad's other open jobs.

The team: CodeRoad HIRES STEADILY

This role is one of 29 open in CodeRoad. 13 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 (22 of 29), Python (18 of 29), SQL (18 of 29), CI/CD (16 of 29), REST (13 of 29), AWS (12 of 29), GCP (11 of 29)

OTHER ROLES ON THIS TEAM

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

Other openings for this role

3 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

99 other open postings titled Senior Data Engineer state a salary: median USD 155,000 to USD 200,000 a year.

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SKILLSPython 47,400SQL 22,167Azure 18,010GCP 15,266Data 5,900
COMPANYJobs at CodeRoad 29

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