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Senior Backend Engineer

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Onsite

Senior Backend Engineer

Neticca

Senior Backend Engineer

Skills

SQL QueriesData EngineeringPythonJavapandasKafkaAIAWSJira

7 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Argentina, Santiago del Estero Province, Argentina

Work mode:

Onsite

Published on:

19 October 2026

What they need


Senior Backend Engineer @ Neticca

Job ID: 10017

Job Title: Senior Backend Engineer (Java, Python, AWS)

Location: Remote (Latin America or Mexico; US Eastern (EST) business hours required)

Duration: Full-Time, Long-Term Engagement (12+ Months)

About Neticca:

Neticca is a technology and data consulting company. We help growing companies solve demanding engineering and data problems, from large-scale data migrations to streaming platforms and applied AI. Our engineers work closely with client teams, supported by Neticca's delivery standards, mentorship, and Center of Excellence.

About the Engagement:

We are building out the delivery team for a long-term data engineering engagement centered on large data volumes and data migrations . We're hiring a Senior Backend Engineer to own the design and delivery of Java and Python systems on AWS , working alongside the client's engineers and holding a high bar on code quality and review. We expect disciplined use of AI coding tools: you design first, test in a structured way, and verify every output. Our selection process is rigorous. It includes a recorded video screen followed by several technical conversations with senior engineers.

What You'll Deliver:

  • Production Java services and Python data pipelines that handle large data volumes reliably
  • Data migrations from plan to cutover: scoping, validation, and rollback
  • Streaming and batch workflows on AWS (S3, Kinesis, DynamoDB) and Kafka
  • High-quality code reviews that improve design, not just style
  • AI-assisted development done with discipline: design first, structured testing, line-by-line review of AI output, and cross-checking between tools
  • Work driven by clear acceptance criteria, with tests written first or alongside the code ( TDD / BDD )
  • Clear written and spoken explanations of technical trade-offs to the team

Must-Have Qualifications:

  • 5+ years of professional software or data engineering experience, shipping and supporting production systems
  • Hands-on Java experience in production (required)
  • Strong Python skills with Pandas and related data libraries
  • Hands-on AWS experience using boto3 , including S3 and at least one of Kinesis or DynamoDB
  • Experience with a streaming platform such as Kafka (or Kinesis) in a production setting
  • Solid SQL and working knowledge of JSON and Parquet data formats
  • Experience with large data volumes or data migrations , and the ability to explain the design trade-offs
  • A real code review habit: you review carefully and can show examples
  • Disciplined use of AI coding tools : you verify, test, and cross-check AI output rather than accepting it by default
  • Working experience with TDD / BDD and writing code against acceptance criteria
  • Excellent spoken and written English ; you will be interviewed by several senior engineers
  • Based in Latin America or Mexico and available during US Eastern (EST) business hours (mandatory)

Nice to Have:

  • Experience with Apache Flink or other stream-processing and OLAP tools
  • Experience with StarRocks
  • Experience building, monitoring, and fixing AI agents to get the behavior you want
  • Experience working in a distributed team with US hours overlap
  • Familiarity with Jira or Rally in an agile team

Why Join Neticca?

  • Competitive Salary & Benefits: We offer a generous compensation package for top-tier talent.
  • Meaningful Engineering Problems: Work on large-scale data and migration challenges where design decisions matter.
  • Delivery Standards & Mentorship: Structured onboarding, peer support, and access to Neticca's Center of Excellence.
  • Career Growth: Grow with a company that invests in your development and values your expertise.
  • Long-Term Engagement: A stable, full-time role (12+ months) with clear expectations.

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