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