20 publicaciones de empleo destacadas de data analytics engineer en loreto, dif (¡Están contratando!)

Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
7d
Senior AI Data Engineer
BMC Software —Ciudad de México, CDMX
- $825,000 a $1,375,000 por año
- Azure
- SQL
- Disponible para viajar
Analytics Engineer Data Bricks (English: Fluent)
DHL —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Ingeniería
- Inglés
Global Proc Sr Analyst
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Excel
- Microsoft Access
- Inglés
14d
Master Data and Analytics Manager
Gates Corporation —Ciudad de México, CDMX
- Microsoft Excel
- Oracle
- Administración de personal
Solution Architect
Kutir Technologies —Miguel Hidalgo, CDMX
- $150,000 a $165,000 por mes
- Tiempo completo
- Home Office (Desde casa)
Postulación rápida
13d
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Large Enterprise Account Executive
ServiceNow —Lomas de Santa Fe, CDMX
- Tiempo completo
- Experiencia en ventas
- ERP systems
- Servicios financieros
Postulación rápida
3d
Research Analyst - Macro Oils
WM de Mexico, S. de R.L. de C.V. —Los Alpes, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Staff Data Engineer
Kraft Heinz Company —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
14d
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Data Engineer Senior – ETL & Python 2796
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Inglés
- SQL
- Python
Postulación rápida
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
2d
Expert tech Solutions
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
7d
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
Senior Microsoft Fabric Engineer
IMPORTANTE EMPRESA DEL SECTOR —Cuajimalpa, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Databricks Engineer
RevStar —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
9d

Quiero recibir la alerta de empleo más reciente para data analytics engineer en loreto, dif

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Data Engineer - CORO Products

Bain & Co. -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 7 días

Cualificaciones

Modelado de datos
Azure
Rust
Go
Ingeniería de software
Kubernetes
Tooling
Spark
Inglés
Google Cloud Platform
SQL
Pandas
Docker
Licenciatura
Scala
Kafka
Redshift
Flask
TypeScript
Python

Descripción completa del empleo

CVs must be submitted in English to be considered

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on [1] Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU'LL WORK WITH

Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions.

Within this broader team, you'll be embedded in [2] Coro, Bain's proprietary B2B go-to-market software suite. Coro delivers AI-accelerated data, analytics, and GTM tools — including MoneyMap, ProfitCube, Partner Sonar, and Coro Assist — that help revenue organizations identify opportunities, align commercial teams, and drive profitable growth at scale.

WHERE YOU'LL FIT WITHIN THE TEAM

As a Data Engineer, you'll be at the core of Coro's data platform, writing production Python that moves, transforms, and serves data across the business. This is a software engineering role: the work is designing, coding, testing, and operating Python services, libraries, and pipelines — not configuring tools or hand-writing queries. You will build systems that are readable, tested, observable, and cheap to change, working with analytics, engineering, and business teams to deliver reliable data products.

WHAT YOU'LL DO

Engineering & Solution Delivery (70%)

Design, build, and maintain batch and streaming pipelines in Python, including the orchestration, scheduling, and monitoring around them.
Write reusable, well-typed Python libraries and internal packages that other engineers and analysts build on.
Build Python services and APIs that expose data to downstream applications, and integrate with third-party and internal APIs.
Write unit, integration, and data-contract tests, and keep pipelines covered by automated CI.
Profile and optimize Python code and data processing jobs for runtime, memory, and cost.
Deploy and operate code in the cloud using containers, infrastructure as code, and CI/CD.
Enforce access controls, secrets handling, and sensitive-data protections at every stage of the data lifecycle.

Continuous Improvement (30%)

Find and fix efficiency, reliability, cost, and correctness problems in existing code and pipelines, and refactor toward simpler designs.
Replace one-off scripts and notebooks with tested, packaged, scheduled code.
Implement data quality checks, validation, and monitoring that catch issues before consumers do.

ABOUT YOU

Experience

2-4+ years of experience in the following areas:
Shipping production Python, not just scripts or notebooks.
Building and operating ETL/ELT pipelines at scale.
Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
Schema enforcement and validation: Pydantic or similar.
Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
Testing and quality tooling: pytest, pyright, ty, pyrefly, ruff or black.
Dependency and environment management: uv, Poetry, pip-tools, or conda.
At least one public cloud (AWS, Azure, or GCP) and its Python SDK, with familiarity with the others.
Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
Relational and non-relational databases, including schema design.

Education

Bachelor's degree or an equivalent combination of education, training and experience.

Knowledge, Skills & Abilities

Strong, idiomatic Python: data structures, typing, error handling, generators/iterators, context managers, and the standard library.
Software engineering fundamentals: modular design, dependency management, packaging, semantic versioning, and API design.
Testing discipline: pytest, fixtures, mocking, and writing code that is testable by construction.
Debugging and profiling; able to reason about performance, concurrency, and memory in Python.
Working knowledge of SQL, data modeling, governance, and privacy practices sufficient to design sound schemas and query them effectively.
Able to explain technical trade-offs to both technical and business audiences.

Additional Qualifications

Python web/API frameworks (FastAPI, Flask).
Async Python, multiprocessing, or other concurrency patterns.
Streaming: Kafka, Kinesis, or Spark Structured Streaming.
Infrastructure as code and automation (Terraform, GitHub Actions).
Docker and Kubernetes.
A second language: Go, Rust, Scala, or TypeScript.
Generative AI, machine learning, or data science tooling.

References

Visible links
1. https://www.bain.com/about/awards-recognition/
2. https://www.coro.io/

Postulación rápida

Refina tu búsqueda

data analytics engineer empleos en loreto, dif

Data Engineer - CORO Products

Senior AI Data Engineer

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Global Proc Sr Analyst

Master Data and Analytics Manager

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Large Enterprise Account Executive

Research Analyst - Macro Oils

Systems Engineer - Must Reside in Mexico City

Staff Data Engineer

Data Engineer

Senior Data Engineer (Scala / Spark / AWS)

Data Engineer Senior – ETL & Python 2796

Staff Data Engineer

Expert tech Solutions

Decision Intelligence Analyst - Mexico City

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Databricks Engineer

Quiero recibir la alerta de empleo más reciente para data analytics engineer en loreto, dif

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