Data Engineer

Design, develop, and maintain robust data pipelines and architectures for analytics projects. Implement orchestration processes and ensure high-quality data integration using modern cloud-based solutions.

Data Engineer 11 applicants

Design, build, and maintain scalable data pipelines while ensuring data quality and reliability across heterogeneous systems. Collaborate with product and engineering teams to translate business requirements into effective data solutions and mentor junior team members.

Data Engineer

Data Engineer

The role involves the development and optimization of data pipelines. You will work within Big Data ecosystems to ensure efficient data processing.

Data engineer

Design and develop ETL and data transformation processes while implementing Spark-based pipelines. Provide support for data integration initiatives and ensure overall data quality and performance across the platform.

Data Engineer

Design and build batch and near-real-time data pipelines using PySpark and Databricks within a medallion architecture. You will architect efficient Delta Lake schemas and collaborate with product teams to translate requirements into reliable data enrichment workflows.

Data Engineer

The role focuses on migrating data from Stratio to Databricks. The engineer will be responsible for managing data pipelines and integration processes.

Data Engineer

Responsible for extracting, transforming, and analyzing data using SQL and Python to design and maintain ETL processes. The role involves developing dashboards and collaborating with stakeholders to translate business needs into analytical solutions.

Data Engineer AWS | Python + PySpark

The Data Engineer will work on high-volume data projects using AWS infrastructure. Responsibilities include managing data pipelines, batch processes, and performing log analysis and troubleshooting.

Senior Data Engineer

Design and develop complex ETL/ELT data pipelines using Databricks, Spark, and Scala. Manage data architecture, optimize pipeline performance, and resolve production incidents.

DATA ENGINEER – MODELING, PRICING, CRM – REMOTO

Develop and define predictive models for churn and perform data clustering to extract actionable insights. Collaborate with business teams to integrate business rules and document all developed processes and analyses.

Sales Engineer - Data & AI Security

Act as the primary technical subject matter expert for Securiti AI solutions, supporting sales teams through needs assessment, solution design, and proof-of-concepts. Collaborate with product, engineering, and customer success teams to ensure seamless delivery and technical leadership throughout the sales cycle.

Data Engineer Snowflake + DBT

The role involves designing and maintaining complex ETL and data pipelines while performing data modeling and performance tuning. You will work on national and international projects covering the entire data lifecycle, including data strategy, governance, and advanced analytics.

Senior Data Engineer (Snowflake)

Lead the migration of data workflows from legacy Hadoop/Hive environments to Snowflake while designing scalable migration factories. Develop and maintain robust ETL/ELT pipelines and collaborate with stakeholders to translate business requirements into high-performing data architectures.

Senior Data Engineer

The Senior Data Engineer will lead the management and evolution of the company's data lake, focusing on data integration, quality, and BI solutions. They will also act as a hands-on technical lead, translating business needs from operations and finance into scalable data architectures.

Senior Data Engineer

You will design, build, and operate end-to-end data solutions using the Azure data stack while maintaining scalable ETL/ELT pipelines. Additionally, you will manage infrastructure, implement CI/CD processes, and collaborate with BI teams to ensure data quality and governance.

Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education 12 applicants

The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.

Data Engineer – Market Risk

You will design and define ETL processes and data models while managing the automation and validation of data within a Big Data environment. Additionally, you will coordinate deployment processes and collaborate on various Big Data initiatives within the Market Risk department.

Data Engineer (Snowflake Specialist)

Design, develop, and maintain efficient data pipelines while implementing ingestion and transformation processes using PySpark. Manage complex SQL queries in Snowflake and orchestrate workflows using tools like Airflow to ensure data quality and availability.

Senior Data Engineer - Mobile Apps

You will build and maintain data pipelines to support marketing, payments, and product analytics while ensuring data accuracy in Databricks. You will also collaborate with cross-functional teams to troubleshoot issues and develop tools that align with business goals.

Data Engineer Snowflake + DBT

Lead the design of scalable data architectures and act as a high-level consultant to translate complex business challenges into innovative technical solutions. Serve as a bridge between sales and production teams to ensure technical vision is successfully implemented.

Data Engineer SQL 15 applicants

The role involves developing and maintaining data pipelines, ETL/ELT processes, and data models to ensure efficient data processing. You will also be responsible for optimizing database queries, integrating various data sources, and monitoring system performance.

SR Data Engineer (AWS)

Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.

Database Developer / Data Engineer | PostgreSQL + ETL

You will be responsible for designing robust, efficient, and maintainable data models while managing database architecture. Additionally, you will develop and maintain ETL processes for data loading and ensure the integrity and documentation of the data models.

Data Engineer (Senior)

You will design and maintain a central data ecosystem to provide a unified 360-degree view of customers across 60+ brands. This involves building scalable ETL/ELT pipelines and establishing robust data governance frameworks to support business intelligence and AI initiatives.

Data Engineer (CP4D)

The Data Engineer will design, govern, and exploit complex data architectures while implementing solutions using IBM Cloud Pak for Data. They will collaborate with business teams, analysts, and architects to transform requirements into technical data solutions.

Data Engineer, Remote (EU) – International Client

Design, develop, and maintain scalable data and analytics solutions within Databricks environments using DBT, SQL, and Jinja. Facilitate stakeholder engagement to translate business requirements into robust, high-quality data pipelines and analytical products.

Data Engineer III

Develop high-volume data processing jobs across platforms like Spark, Redshift, and Airflow while collaborating with data scientists to turn methodologies into products. You will also identify system bottlenecks to improve efficiency and mentor junior team members on architectural best practices.

Senior Clinical Data Engineer

The Senior Clinical Data Engineer will design, develop, and maintain scalable data pipelines to process and transform clinical and medical device data. They will collaborate with cross-functional teams to ensure data quality, consistency, and usability for statistical analysis and evidence generation.

Data Engineer Fabric

Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage the full data lifecycle, including data modeling, quality assurance, and the development of ETL/ELT pipelines within the Azure and Microsoft Fabric ecosystem.