Senior Data Engineer

Sequoia Connect

. Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing .

Posted 9/18/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable ETL/ELT pipelines, optimizing data models, and implementing cloud-native data solutions using Azure technologies. Proficient in API development and real-time data ingestion frameworks, ensuring data quality and compliance across platforms.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingAzure Data FactoryDatabricks Lakehouse ArchitectureAPI Development

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkPL/SQLJavaScalaDatabricks SparkDelta TablesKafkaHadoop

Soft Skills

ResilienceEmotional IntelligenceAgile Delivery

Tools & Technologies

Azure DatabricksAzure Synapse AnalyticsAzure Event HubsAzure FunctionsDockerKubernetesApache AirflowEvent-Driven Architectures

Certifications & Qualifications

Azure Data Engineer (DP-203)Databricks Certifications

Industry Keywords

ETLELTData GovernanceData SecurityDataOpsCI/CDInfrastructure as CodeReal-Time Analytics

Tech Stack

Tools & technologies

AirflowApacheAzureCloudDockerETLHadoopJavaKafkaKubernetesMicroservicesMySQLOpenShiftOraclePySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing
Build and optimize data models, Delta Tables, and Lakehouse architectures for analytics and reporting
Develop and integrate RESTful APIs and data services for data exchange across enterprise systems
Implement real-time and high-frequency data ingestion frameworks using streaming technologies and event-driven architectures
Design and manage cloud-native data solutions using Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics
Develop and optimize Databricks Spark applications for large-scale data transformation and processing
Ensure data quality, governance, security, and compliance across data platforms
Collaborate with data scientists, analysts, application teams, and business stakeholders
Troubleshoot, monitor, and optimize pipeline performance and data platform reliability
Support DataOps and CI/CD practices for data pipeline deployment and automation

Requirements

What you’ll need

Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL
Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala
Hands-on experience with Azure Cloud technologies including Azure Data Factory, Azure Databricks, ADLS, Azure Synapse Analytics, Azure Event Hubs, Azure Functions, Azure API Management, and Azure DevOps
Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables
Expertise in API development, API integration, RESTful services, and microservices architecture
Experience processing high-volume and high-frequency data with low-latency requirements
Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis
Experience with Spark, Hadoop, and distributed data processing frameworks
Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments
Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory
Understanding of data governance, data security, and compliance best practices
Resilience, emotional intelligence, and focus on agile delivery
Deep understanding of the difference between coding and engineering
Experience with Delta Live Tables (DLT), Auto Loader, and Change Data Capture (CDC) preferred
Knowledge of DataOps, CI/CD, and Infrastructure as Code (IaC) preferred
Familiarity with event-driven architectures and real-time analytics platforms preferred
Azure Data Engineer (DP-203) and Databricks certifications preferred
Familiarity with cloud-native foundations or AI coding assistants preferred
Advanced oral English required for seamless collaboration with global teams
Advanced Spanish required

Benefits

Comp & perks

Flexible work arrangement supporting lifestyle
Remote work option depending on specific project needs
Global career opportunities
Exposure to high-impact digital transformation projects
Collaboration with global teams
Professional growth through world-class, high-impact projects