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Data QA Engineer
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Data Governance Engineer
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Senior Lead Data Engineer – R01568572
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Senior Data Engineer (AWS & Python)
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Lead Data Engineer — Redshift Analytics Platform
Lead the build-out of a Redshift-based analytics platform, migrating reporting workloads from PostgreSQL and ensuring scalable, auditable reporting for internal teams.
Remote Data Engineer: Databricks and AWS Migration
Builds Databricks pipelines and migrates Redshift data to Databricks using AWS services like S3, Glue, and Athena.
Remote Data Engineer — Databricks Migration & Governance
Build and run Databricks pipelines and jobs to migrate data from Amazon Redshift, using AWS services like S3, Glue, and Athena while applying data governance practices.
Remote Data Engineer: Databricks & Cloud Migration
Data Engineer to migrate a company’s data stack from Amazon Redshift to Databricks, building and running ETL pipelines while collaborating with stakeholders.
Data Engineer (AWS, Python, Cloud Data Platform)
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Solution Data Engineer Sr.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Software & Data Engineer (Remote - Latin America)
Build data pipelines, AI tools, and cloud infrastructure for clients using Python, SQL, and cloud platforms like Snowflake and AWS/GCP/Azure.
Amazon Music Senior Data Engineer, Music DISCO: Pipelines & Analytics
Senior Data Engineer builds and scales data pipelines and analytics platforms for Amazon Music’s DISCO program, enabling data-driven decisions with AWS services like Redshift, EMR, and S3.
Data Engineer - Remote, Latin America
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like SnapLogic or Informatica.
AWS Data Engineer
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
AWS Cloud Data Engineer
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Data Engineer
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
Data Engineer ID52278
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
Data Engineer Lead
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP for enterprise clients, using cloud warehouses, Spark, Kafka, and orchestration tools.
Lead Data Platform Engineer for Cloud Data Pipelines
Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.