Vagas remotas de CI/CD com elegibilidade clara.

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for structured and unstructured data.

• Senior
• AWS
• Azure
• CI/CD
• +4

Participar en proyectos desafiantes enfocados en la optimización de costos en plataformas cloud a gran escala.

• Senior
• CI/CD
• Docker
• GCP
• +3

Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics

• Senior
• CI/CD
• PostgreSQL
• Python
• +3

Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.

• Senior
• AWS
• Azure
• CI/CD
• +7

Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.

• Middle
• AWS
• CI/CD
• Docker
• +4

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.

• Senior
• AWS
• CI/CD
• Docker
• +9

Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.

• Senior
• CI/CD
• Python
• Snowflake
• +2

Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data

• Senior
• AWS
• CI/CD
• MongoDB
• +3

Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.

• Middle
• AWS
• Azure
• CI/CD
• +3

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.

• Senior
• AWS
• Azure
• CI/CD
• +5

Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution

• Senior
• AWS
• CI/CD
• Python
• +2

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.

• Middle
• AWS
• Azure
• CI/CD
• +4

Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.

• Middle
• CI/CD
• Python
• Salesforce
• +2

Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems

• Middle
• AWS
• Azure
• CI/CD
• +3

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

• Middle
• AWS
• Azure
• CI/CD
• +3

Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)

• Middle
• Azure
• CI/CD
• Spark
• +1

Migrar y optimizar datamarts a Snowflake.

• Senior
• CI/CD
• Java
• Python
• +2

Bachelor's degree or equivalent relevant experience and

• Senior
• AWS
• CI/CD
• Python
• +2

Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.

• Senior
• Azure
• CI/CD
• LLM
• +4

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Owning the design and development of robust dbt Core models that transform raw data into trusted, analytics‑ready datasets in Snowflake

• Senior
• Azure
• CI/CD
• Python
• +2

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.

• Senior
• CI/CD
• Python
• Spark

Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.

• Senior
• AWS
• Azure
• CI/CD
• +4

Own and improve data ingestion and orchestration across our modern data stack.

• Senior
• CI/CD
• Snowflake
• SQL

Develop long-term technical vision for the team

• Senior
• CI/CD
• GCP
• Python
• +1

Genuinely Caring:We treat customers and colleagues like neighbors, with empathy and full attention.

• Senior
• Azure
• CI/CD
• PostgreSQL
• +3

Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.

• Senior
• AWS
• Azure
• CI/CD
• +7

Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.

• Senior
• CI/CD
• Kubernetes
• LLM
• +3

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.

• Senior
• CI/CD
• Python
• Spark

Developing & maintaining ETL/ELT pipelines

• Senior
• CI/CD
• Python
• Snowflake
• +1

Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.

• Senior
• CI/CD
• GCP
• Python
• +3

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient

• Senior
• AWS
• Azure
• CI/CD
• +9

Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

• Senior
• AWS
• CI/CD
• Docker
• +5

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Experience in data engineering with Databricks and AWS

• Senior
• AWS
• CI/CD
• Python
• +2

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.

• Senior
• CI/CD
• Python
• Spark

Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows

• Senior
• AWS
• Azure
• CI/CD
• +4

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.

• Senior
• CI/CD
• Python
• Snowflake
• +1

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

• Senior
• AWS
• Azure
• CI/CD
• +4

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.

• Senior
• AWS
• Azure
• CI/CD
• +5

En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.

• Senior
• AWS
• CI/CD
• Snowflake
• +1

Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.

• Middle
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

3-5 years of experience as a Data Engineer / MLOps Engineer

• Middle
• CI/CD
• Docker
• GCP
• +1

at least 2 years of professional experience in data engineering

• Junior
• CI/CD
• Docker
• Python
• +1

Strong hands-on experience with Azure Data Factory.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.

• Senior
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Architect end to end batch and Spark Streaming pipelines on cloud (AWS/GCP/Azure).

• Senior
• AWS
• Azure
• CI/CD
• +5

Cultivated a community of more than 650,000 active developers and builders

• Senior
• CI/CD
• Python
• SQL

Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic.

• Senior
• AWS
• Azure
• CI/CD
• +2

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Designs and builds scalable data extracts, integrations, transformations, and data models.

• Senior
• AWS
• CI/CD
• Docker
• +2

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

• Senior
• Azure
• CI/CD
• REST
• +2

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4