Data Engineer

• Data Engineering: Design, build, and maintain scalable data pipelines and ETL workflows.
• Write advanced SQL queries and implement optimization techniques for performance.
• Leverage Microsoft Azure & Fabric, Spark, and Python to automate complex workflows.
• Lead engineering efforts on machine learning and artificial intelligence projects.
• Integration Development: Develop and maintain robust web APIs (SOAP, REST) to support seamless data integration across internal and external systems.
• Collaborate with external vendors to ensure the integrity and functionality of integrations.
• Operational Support: Monitor and troubleshoot data processes, ensuring high availability and minimal downtime.
• Proactively identify and resolve bottlenecks or inefficiencies in data pipelines and integrations.
• Collaboration: Manage and prioritize work using the ticketing system while maintaining regular communication in stand-ups and stakeholder meetings.
• Conduct code reviews to ensure adherence to best practices and high-quality deliverables.
• Contribute to technical documentation for processes, tools, and workflows.
• End User Support: Provide tier 3 support to end users of integrated systems such as reporting and accounting.
• Partner with business owners to identify areas for improvement and gather requirements.
• Leadership & Mentorship: Mentor other team members by sharing knowledge, conducting training sessions, and providing guidance on best practices.
• Take ownership of complex projects, ensuring timely delivery and alignment with business objectives.

Senior Data Engineer

• Entender las necesidades de negocio para transformarlas o aplicarlas en procesos de datos y reportes.
• Generación y entrega de reportes de desempeño de Banqueros y Directores de la red comercial.
• Análisis y atención de incidencias reportadas por la red comercial sobre reportes de desempeño.
• Comunicación activa con Áreas centrales y Staff de la red comercial.
• Migración de procesos a AWS (ADA).
• Optimización de tiempos de procesamiento de datos.
• Diseño y aplicación de controles de calidad de datos sobre información entregada a la red.

Ingeniero de Datos de Incentivos

• Diseñar, desarrollar y mantener pipelines de datos escalables y procesos ETL/ELT.
• Construir y optimizar soluciones de integración y procesamiento de datos utilizando **Azure Data Factory** y **Snowflake**.
• Desarrollar procesos de transformación y automatización de datos mediante **Python** y **SQL**.
• Administrar y optimizar entornos de almacenamiento en **Azure Data Lake**.
• Diseñar y mantener modelos de datos que soporten iniciativas de analítica y Business Intelligence.
• Colaborar con equipos técnicos y de negocio para identificar necesidades de información y proponer soluciones eficientes.
• Garantizar la calidad, disponibilidad, seguridad y rendimiento de los datos.
• Participar en iniciativas de gobierno de datos, calidad de datos y gestión de metadatos.
• Monitorear, diagnosticar y optimizar procesos de integración y procesamiento de datos.
• Contribuir a la definición de buenas prácticas y estándares de arquitectura de datos en la nube.

Data Engineer – Snowflake, Azure

• Provide critical technical execution and analytical leadership, acting as a driving force in translating raw data into robust, production-ready data models.
• Ensure cross-functional teams have seamless access to un-compromised, highly performant, and real-time datasets.
• Responsible for dismantling legacy data workflows, engineering scalable data pipelines, and establishing rigorous validation standards to guarantee data reliability and pipeline health.

Data Engineer – Analytics, Modeling

• Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses.
• Ensures the data is in a ready-to-use form.
• Utilizes skills to translate business analytic requests/requirements.
• Works with various technologies from big data, relational and non-relational databases.
• Consults on data projects of intermediate complexity.
• Practices code management and integration with current architectural and data governance guidelines.
• Produces data building blocks and data flows for varying client requests.
• Creates business user access methods to data.
• Utilizes techniques such as mapping data and transforming data to satisfy business rules.
• Translates business data stories into a technical story breakdown structure.
• Develops and maintains moderately complex scalable data pipelines.
• Executes on mid size projects and identifies opportunities to optimize data workflows.

FBS Data Engineer, SQL, Power BI

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
• Process and integrate data from multiple formats and sources (JSON, CSV, XML).
• Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.
• Enforce data governance, quality, and security standards.
• Extend, maintain, and optimize the Elastic Hierarchy data framework.
• Collaborate with analytics, ML, and product teams to deliver reliable, business-ready datasets.
• Support data operations in SaaS and hybrid on-premise environments.

• Analyze existing Oracle schemas, tables, views, stored procedures, functions, indexes, and related database objects
• Support the migration of database structures and data from Oracle to Azure SQL
• Identify compatibility gaps between Oracle and Azure SQL and propose remediation approaches
• Convert or refactor Oracle SQL, PL/SQL, stored procedures, functions, and views into Azure SQL-compatible equivalents
• Support source-to-target mapping, data profiling, and migration analysis
• Perform data validation, reconciliation, and quality checks between Oracle and Azure SQL
• Optimize migrated database objects for performance, scalability, and maintainability
• Collaborate with ETL / ADF engineers to ensure pipelines align with the target data model
• Document migration findings, conversion decisions, validation results, and technical recommendations
• Support testing, defect resolution, production migration, and post-migration stabilization activities
• Troubleshoot performance, compatibility, and data quality issues throughout the migration lifecycle

Data Engineer – Database Migration

• Analyze existing Boomi integrations, workflows, mappings, transformations, schedules, and dependencies.
• Design and develop equivalent data pipelines in Azure Data Factory.
• Rebuild data ingestion, transformation, orchestration, and data movement processes from Boomi into ADF.
• Connect ADF pipelines to source and target systems, including Oracle, Azure SQL, files, APIs, and other relevant systems.
• Implement pipeline scheduling, parameterization, monitoring, alerting, retry logic, and error handling.
• Collaborate with database migration engineers to ensure pipelines align with migrated Azure SQL data structures.
• Support source-to-target mapping, data transformation logic, and technical documentation.
• Perform pipeline testing, data validation, and defect resolution.
• Optimize ADF pipelines for reliability, performance, and maintainability.
• Support deployment, production cutover, and post-migration stabilization activities.

Data Engineer – Integration Migration

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Data Engineer – MS Fabric

• Spearhead the development and deployment of complex data infrastructure.
• Ensure high-quality data availability for analytics and AI initiatives.

Data Engineering Lead

• Diseñar e implementar arquitecturas de datos (Data Lake, Data Warehouse, Lakehouse) alineadas a las necesidades del negocio.
• Definir modelos de datos (conceptual, lógico y físico) para soportar analítica y operación.
• Diseñar e implementar soluciones de integración de datos (ETL/ELT, APIs, streaming).
• Evaluar y seleccionar tecnologías de almacenamiento y procesamiento de datos en entornos cloud.
• Asegurar la calidad, consistencia, seguridad y gobierno de los datos.
• Liderar iniciativas de modernización de plataformas de datos y migración a la nube.
• Optimizar el rendimiento y costo de las plataformas de datos.
• Colaborar con equipos de ingeniería, analítica, BI y negocio para traducir requerimientos en soluciones de datos.
• Definir estándares y mejores prácticas de arquitectura y gobierno de datos.
• Documentar arquitecturas, flujos y lineamientos técnicos.

Data Architect

• ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips
• crafting and shaping data platforms that power our organization's success
• engineering the backbone of our data infrastructure
• ensuring the availability of pristine, refined data sets
• understanding project objectives and requirements from a business perspective
• uncovering quality issues and initial insights
• architecting data pipelines, using expertise to cleanse, normalize, and transform raw data
• scrutinizing data solutions to ensure alignment with business and technical requirements

• Designing, building, and delivering modern Data & AI solutions on Microsoft Azure
• Working closely with clients and internal delivery teams to develop scalable, production-ready data platforms that enable analytics, reporting, operational intelligence, and AI workloads
• Contributing across the full project lifecycle including development, testing, deployment, optimization, and client collaboration
• Partnering with solution architects, project teams, and customer stakeholders to implement modern lakehouse and data engineering patterns using Microsoft Fabric, Azure, and Databricks technologies
• Supporting a wide range of customer environments across commercial and public sector organizations

Cloud Data Engineer, Azure, Fabric, Databricks

• Responsable del diseño y desarrollo de procesos de integración y transformación de datos
• Diseñar y automatizar procesos ETL con Python (Pandas) y SQL
• Desarrollar integraciones con sistemas fuente y DWH
• Implementar validaciones y controles de calidad de datos
• Documentar procesos, transformaciones y reglas de negocio

Data Engineer – Senior

• Trabajarás en conjunto con especialistas funcionales, técnicos y del negocio para ayudar a desarrollar la implementación e integración de soluciones y sistemas innovadores incluyendo metodologías, técnicas y herramientas.
• Contribuirás de una manera responsable y oportuna con la satisfacción del cliente proporcionando servicios y productos que generan valor agregado.

• Full management of the Databricks environment
• Environment configuration and workspace administration
• Implement data governance using Unity Catalog
• Manage structured storage with Delta Lake tables
• Write and optimize data processing logic using Python, SQL, and PySpark
• Manage code lifecycle and collaborative development using Git
• Manage data architecture, performance, and integrations within Snowflake
• Handle Adobe Data Feeds and Adobe Analytics
• Ensure correct ingestion and transformation of external marketing data
• Oversee data warehousing operations in Amazon Redshift
• Use Airflow to schedule, monitor, and manage complex data pipeline workflows
• Maintain data availability and basic operations in BigQuery
• Manage serverless querying with Athena
• Handle metadata management with AWS Glue
• Own end to end maintenance of data pipelines
• Ensure reliability from data ingestion through final delivery across multiple cloud platforms.

Senior Solution Data Engineer

• Design, build, and maintain data pipelines to ensure seamless integration and high-performance processing of large-scale time-series datasets
• Develop rapid QC metrics used in dashboards to present complex datasets to stakeholders
• Provide Python expertise, supporting team members with queries and troubleshooting while promoting best practices in code quality and development
• Communicate insights and results through reports, presentations, and technical documentation.

Digital Health Data Engineer

• Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization
• Enable data-driven decision making by creating custom models or prototypes
• Coordinate with other technical/functional teams to implement models and monitor results
• Develop processes, techniques, and tools to analyze and monitor model performance
• Architect and design scalable, resilient, and cost-effective cloud data lake solutions
• Collaborate closely with business users and analysts to understand their data requirements

Senior Data Engineer Lead

• Rediseñar la arquitectura de datos del banco para migrarla a cloud y habilitar analítica e IA.
• Definir arquitectura de datos moderna (lakehouse / data platform).
• Liderar migración desde: o Cloudera o SAS o Teradata.
• Diseñar pipelines de datos escalables.
• Habilitar capacidades para AI/ML.
• Definir gobierno de datos.

• Analyze and identify the linkages and interactions between the component parts of an entire system
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables
• Develop skills outside your comfort zone, and encourage others to do the same
• Effectively mentor others
• Use the review of work as an opportunity to deepen the expertise of team members
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements

See all jobs on JobTailor

Senior Data Engineer

Ingeniero de Datos de Incentivos

Data Engineer – Snowflake, Azure

Data Engineer – Analytics, Modeling

FBS Data Engineer, SQL, Power BI

Senior Data Engineer

Data Engineer – Database Migration

Data Engineer – Integration Migration

Data Engineer – MS Fabric

Data Engineering Lead

Data Architect

Data Engineer

Cloud Data Engineer, Azure, Fabric, Databricks

Data Engineer – Senior

Data Engineer

Senior Solution Data Engineer

Digital Health Data Engineer

Senior Data Engineer Lead

Data Architect

Senior Associate – Data Engineer