Roles remotos de SQL con elegibilidad clara.

Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

• Senior
• Salesforce
• SQL

Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.

• Senior
• AWS
• Azure
• Docker
• +5

Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).

• Senior
• GCP
• Java
• Python
• +2

Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses

• Senior
• Python
• Salesforce
• Snowflake
• +1

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.

• Senior
• AWS
• LLM
• Python
• +1

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

• Senior
• AWS
• Azure
• CI/CD
• +7

Design, develop, and implement scalable data pipelines and software solutions to support data engineering and analytics needs.

• Senior
• Azure
• Java
• Python
• +1

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

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Serve as the primary owner and technical steward of the Trilon enterprise data platform

• Senior
• Azure
• SQL

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

Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data. Perform all needed data cleansing and transformation to improve data quality.

• Senior
• SQL

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

• Senior
• AWS
• CI/CD
• MongoDB
• +3

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

Developing Python, SQL, and PySpark based applications and data flows in Databricks

• Senior
• Azure
• Python
• Spark
• +1

and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

• Senior
• Java
• Python
• SQL
• +4

Any experience with operational data science, machine learning or artificial intelligence solutions

• Senior
• Azure
• SQL

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

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.

• Middle
• Python
• REST
• SQL

, 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

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

• Middle
• AWS
• PostgreSQL
• SQL

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

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

Design, build, and maintain scalable data pipelines across diverse environments.

• Senior
• AWS
• Azure
• CI/CD
• +7

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

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

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

Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads

• Senior
• AWS
• Azure
• GCP
• +3

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

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

• Senior
• Azure
• SQL

Connect with cross-functional teams: The data environment we’re building will be used by members of the Accounting, Finance, Supply Chain, and Publishing teams, among others.

• Senior
• AWS
• Python
• SQL

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

and skills: Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g.

• Senior
• Java
• Python
• SQL

Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation

• Middle
• Azure
• Snowflake
• SQL

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly

• Python
• Salesforce
• Snowflake
• +2

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Working with product team to bring an idea to reality

• Lead
• SQL

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

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Build scalable ingestion and transformation with tests and documentation

• Middle
• Azure
• Python
• Snowflake
• +1

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

• Middle
• AWS
• Azure
• CI/CD
• +3

Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.

• Middle
• AWS
• Python
• Spark
• +1

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.

• Lead
• Python
• SQL

Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.

• Junior
• Python
• Snowflake
• SQL

Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.

• Middle
• AWS
• Azure
• GCP
• +3

Put Patients First

• Middle
• AWS
• Azure
• GCP
• +4

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.

• Lead
• Python
• SQL

(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

Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.

• Senior
• AWS
• Python
• Snowflake
• +1

Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.

• Middle
• AWS
• Azure
• CI/CD
• +3

Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.

• Senior
• Python
• Snowflake
• SQL

Soporte y mantenimiento de un data warehouse en SQL Server con pipelines complejos

• Senior
• Azure
• SQL

Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs.

• Middle
• Azure
• Python
• SQL

Experiencia semi-senior trabajando con tecnologías de Business Intelligence de Microsoft, incluyendo desarrollo ETL con SSIS y creación de informes en Power BI.

• Middle
• Azure
• SQL

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

• Senior
• Python
• Snowflake
• SQL

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly

• Senior
• AWS
• Azure
• GCP
• +4

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly

• Senior
• AWS
• Azure
• GCP
• +4

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

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

• Senior
• Azure
• CI/CD
• LLM
• +4

Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)

• Senior
• Python
• SQL

Collecting large, complex sets of data that meet non-functional and functional business requirements.

• Senior
• Azure
• SQL

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

• Senior
• AWS
• Azure
• CI/CD
• +4

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

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

Every day you will independently work on design and develop solutions to issues across the business. Our team’s success isn’t just implementing the code but seeing that those insights are implemented by the business

• Senior
• AWS
• Python
• Spark
• +1

Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.

• Senior
• AWS
• Docker
• Java
• +7

Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.

• Senior
• Java
• Node.js
• PostgreSQL
• +4

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

Designing and implementing robust data pipeline solutions within Azure Data Lake.

• Senior
• Azure
• Java
• Python
• +1

Database architecture and design of data warehouses & data marts to support presentation layers elastic cubes, reporting and analytics.

• Senior
• AWS
• Azure
• GCP
• +3

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

• Senior
• CI/CD
• Snowflake
• SQL

Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps

• Senior
• AWS
• Python
• Spark
• +1

Develop long-term technical vision for the team

• Senior
• CI/CD
• GCP
• Python
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Five years of experience working in data engineering or architecture role,

• Senior
• Python
• Spark
• SQL

The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects

• Senior
• Python
• Spark
• SQL

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

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

Create and maintain optimal data pipeline architecture,

• Middle
• GCP
• Python
• SQL

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

Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure.

• Senior
• Java
• Node.js
• PostgreSQL
• +4

Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.

• Senior
• AWS
• Azure
• Docker
• +6

Design and build scalable, secure, and cost-effective data solutions in Snowflake.

• Senior
• AWS
• Azure
• GCP
• +3

Design and build of ETL processes in collaboration with software and model development teams.

• Senior
• AWS
• GCP
• Python
• +1