Tech jobs
Job listings
Manager Data Engineering and Architecture
Lead the design and implementation of enterprise data platforms, data architecture, and BI systems for a pharmaceutical company, ensuring scalable, secure, and high-performing solutions.
Azure Data Engineer
Builds and maintains Azure data pipelines, Synapse analytics, and Power BI reports to transform raw data into business insights.
Data Engineer (Azure Platform)
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Data Engineering & Warehousing Engineer
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Data Engineer in Test
Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Senior Data Engineer
Build and maintain scalable data pipelines using Kafka, Spark, Flink, and cloud orchestration tools, containerized on Kubernetes, to power real-time and batch analytics for a product-focused team.
Azure Data Engineer
Build and run Azure-based data lakes and Spark pipelines, model data for Power BI, and enforce governance and quality in a large-scale digital transformation.
Big Data Architect at Cenphix Capital
Designs and deploys secure, high-throughput data pipelines and warehouses for a capital firm’s facility, using Hadoop, Spark, Kafka, and cloud tools.
Azure Data Lake Platform Engineer
Design and build a scalable Azure Data Lake using ADLS Gen2, integrating SAP and other systems to enable standardized financial reporting and analytics.
Azure Data Lake Platform Engineer (Remote)
Design and implement a secure Azure Data Lake platform, integrating SAP and other sources to enable global financial reporting and analytics using ADLS Gen2, ADF, Synapse, Databricks, and Power BI.
Data Engineer (Senior) – BI & Data Analytics (Argentina or Uruguay)
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Programador Senior - Data Engineering
Senior data engineer building scalable ETL/ELT pipelines, optimizing data lakes, and processing large datasets using Python, Scala, Spark, and AWS services.
Senior Data Engineer: Databricks, dbt & Airflow (Remote ET)
Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Lead Data Engineer: AWS Data Lake & Airflow Architect
Lead a team to design and maintain an S3-backed data lake and Airflow-based ETL pipelines for a marketing analytics platform, optimizing partitioning, file formats, and near-real-time processing.
Senior Data Engineer - Azure & BI Dashboards (Remote)
Build and maintain data pipelines and BI dashboards on Azure, integrating sources and delivering real-time insights using Power BI, DOMO, Python, and Azure Data Platform tools.
Senior Data Engineer (Databricks on AWS) – Remote
Designs scalable data pipelines and migrates analytics workloads from Redshift to a Databricks Lakehouse on AWS using PySpark and Spark.
Azure Data Engineer - Databricks, PySpark & TB-Scale ETL
Builds and maintains TB-scale ETL pipelines on Azure Databricks using PySpark and Python, ensuring data quality and lake architecture integrity.
Remote Lead Data Engineer - ETL, Data Lake, Airflow
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using Airflow, AWS S3, Athena, and EKS.
Lead Data Engineer — Remote, Flexible Hours, Growth
Lead a team to design and maintain scalable data pipelines and analytics infrastructure for a marketing analytics platform using AWS, S3, Athena, and Airflow.