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1,981

Python jobs in Mexico

Engineering Manager, Director

Fitch Group

Monterrey
Hybrid
MXN 2,136,000 - 2,850,000
24 days ago
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Senior Consultant - Operations Generalist

Roland Berger

Ciudad de México
On-site
MXN 1,068,000 - 1,425,000
24 days ago

Lead AI Drafting Engineer — Legal Tech

Thomson Reuters

Ciudad de México
Hybrid
MXN 800,000 - 1,200,000
24 days ago

Job Posting Title Lead Software Engineer, CoCounsel AI Drafting

Thomson Reuters

Ciudad de México
Hybrid
MXN 800,000 - 1,200,000
24 days ago

Senior AWS DevOps Cloud Architect

Amdocs

Región Centro
On-site
MXN 1,424,000 - 1,781,000
24 days ago
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Server Engineer - Mobile Casino Game with PHP Tech Stack

Amber Studio

Región Centro
Remote
MXN 400,000 - 600,000
24 days ago

Lead AI Engineer for Legal Drafting Platform

PowerToFly

Ciudad de México
Hybrid
MXN 2,136,000 - 2,671,000
24 days ago

Job Posting Title Lead Software Engineer, CoCounsel AI Drafting

PowerToFly

Ciudad de México
Hybrid
MXN 2,136,000 - 2,671,000
24 days ago
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SW Test Specialist - Mainframe

Amdocs

Región Centro
On-site
MXN 400,000 - 600,000
24 days ago

Server Engineer - Mobile Casino Game with PHP Tech Stack

Amber

Región Centro
Remote
MXN 400,000 - 600,000
24 days ago

Bilingual QA Automation Engineer: Build Scalable Testing

Yalo

Ciudad de México
On-site
MXN 400,000 - 600,000
24 days ago

Senior Mobile Engineer (Mexico)

Sezzle

Estado de México
Remote
MXN 1,424,000 - 2,137,000
24 days ago

BI Coordinator: Insights that Shape Strategy (Hybrid)

RH Aliats

Ciudad de México
Hybrid
MXN 200,000 - 400,000
24 days ago

Business Intelligence Coordinator

RH Aliats

Ciudad de México
Hybrid
MXN 200,000 - 400,000
24 days ago

BI Developer

PowerFleet Inc.

Ciudad de México
On-site
MXN 400,000 - 600,000
24 days ago

Mechatronics Engineer | Alamar (AR)

Grupo TECMA

Tijuana
On-site
MXN 200,000 - 400,000
24 days ago

Cloud Software Engineer - MedTech Impact

Insulet

Región Centro
On-site
MXN 356,000 - 535,000
24 days ago

Software Cloud Engineer - Java

Insulet

Región Centro
On-site
MXN 356,000 - 535,000
24 days ago

Senior Associate Full Stack Engineer

Equinix

León
On-site
MXN 535,000 - 893,000
25 days ago

Data Analyst, Customer Service

Netflix

Ciudad de México
On-site
MXN 200,000 - 400,000
25 days ago

Senior Data Engineer (AWS) – Hybrid in GDL

NTT DATA, Inc.

Jalisco
Hybrid
MXN 800,000 - 1,000,000
25 days ago

Data Engineer Sr (AWS) Hybrid GDL

NTT DATA, Inc.

Jalisco
Hybrid
MXN 800,000 - 1,000,000
25 days ago

Software Engineer - Monterrey

John Deere India Pvt. Ltd.

Apodaca
On-site
MXN 535,000 - 893,000
25 days ago

TECH_Analista N1 Detect 1

Telefónica, S.A.

Ciudad de México
Hybrid
MXN 50,000 - 200,000
25 days ago

Electronic I Engineer

CommScope

Apodaca
On-site
MXN 250,000 - 350,000
25 days ago

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Top companies:

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Engineering Manager
Fitch Group
Monterrey
Hybrid
MXN 2,136,000 - 2,850,000
Full time
24 days ago

Job summary

A leading financial services provider based in Monterrey, Mexico is seeking an Engineering Manager, Director to lead a dynamic data engineering team and foster innovation. The ideal candidate should have extensive AWS expertise and experience in developing scalable data solutions. Responsibilities include mentoring team members, driving architectural decisions, and integrating emerging technologies like AI. Join a collaborative work environment that values work-life balance and invests in employee growth.

Benefits

Work-life balance policies
Comprehensive healthcare offerings
Retirement planning and tuition reimbursement
Generous parental leave plan
Opportunities to volunteer

Qualifications

  • 7-10 years of experience leading data-centric software engineers.
  • Proven AWS expertise strongly preferred.
  • Strong Python knowledge for data engineering.

Responsibilities

  • Lead and mentor a high-performing data engineering team.
  • Define and execute AWS-based data platform vision.
  • Integrate AI technologies into data workflows.

Skills

Leadership and mentorship of data engineering teams
AWS expertise
Python for data engineering
Designing and building REST/GraphQL APIs
CI/CD and Infrastructure as Code
AI/ML applications
Data governance solutions

Education

7-10 years experience in data-centric software engineering

Tools

AWS (S3, EKS, Lambda, etc.)
Data Lake technologies (Databricks, Snowflake)
APIs
Collibra, Informatica
Git/GitHub
Job description

Fitch Group is currently seeking a Engineering Manager, Director based out of our Monterrey, Mexico office.

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.

Want to learn more about a career in technology and data at Fitch?

Visit: https://careers.fitch.group/content/Technology-and-Data/

How You’ll Make an Impact:
  • Hands-On Lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth while ensuring delivery of scalable, modern data solutions aligned with business priorities.
  • Partner with the CDO team and data product leaders to define and execute the vision for a AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.
  • Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.
  • Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.”
  • Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.
You May be a Good Fit if:
  • 7-10 years’ experience ‘hands-on’ leading highly technical data-centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualizations solutions (e.g. Starburst), modern data catalogs & data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica)
  • Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).
    • AWS Certification strongly preferred
  • Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
  • Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).
  • Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.
  • Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.
  • Optimize performance of object-based and relational datastores
  • Design applications with microservices and containerization mindset with ‘decoupling’ architectural principles
  • Caching with Valkey/Redis: TTL strategies, invalidation, key design.
  • CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.
  • Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.
  • Ability to solve complex data-driven requirements and triage towards defects and production bugs
  • Technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation, data platform and lake(house) (i.e. ‘medallion’ architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo) .
  • Experience in leading evaluation of new technologies and methodologies to enhance efficiency. (“Buy” vs “Build”)
What Would Make You Stand Out:
  • Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation, including Agentic AI connection protocols (e.g., MCP, A2A)
  • Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
  • Knowledge on SSO implementation and Azure AD (MS Entra) groups
  • Great communication and collaboration skills
  • Proven ability to drive innovation and install a culture of ‘continuous improvement’ that measurably improve business outcomes
  • Ability to communicate effectively & translate technical concepts to with senior management & non-technical stakeholders.
Why Choose Fitch:
  • Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.
  • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
  • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
  • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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