Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.
Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.
Builds and maintains scalable data pipelines in GCP, transforms raw data into trusted assets, and creates dashboards in Looker Studio and Grafana to support business decisions.
Maintain and troubleshoot OpenTelemetry-based observability pipelines, ensuring telemetry ingestion and diagnosing issues across logs, metrics, and traces in Azure environments.
Designs modern cloud data architectures, builds scalable ETL/ELT pipelines, and delivers analytics solutions using Azure, PySpark, and Python.
Design and build scalable cloud data pipelines and warehouses using Python, PySpark, and Azure services to power analytics and business insights.
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Build and scale Checkr’s core data platform that powers identity and background checks for Uber, Airbnb, DoorDash and others, using PySpark, Kafka, AWS and modern data stacks.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Designs and maintains scalable data pipelines and cloud data warehouses (Snowflake/BigQuery), optimizing ETL/ELT processes and enabling self-service analytics for distributed teams.
Design, build, and optimize scalable data pipelines and ETL/ELT workflows using GCP, dbt, and Airflow to integrate and process enterprise data from SAP and APIs.
Build and optimize GCP-based data pipelines and Lakehouse architecture to transform raw data into strategic business assets using BigQuery, Dataform, and Medallion model.
Build and maintain ETL/ELT pipelines on AWS, ensuring data quality and collaborating with business teams using Python and SQL.
Builds and maintains scalable data pipelines, ETL/ELT workflows, and cloud-based analytics platforms to turn raw data into reliable, decision-ready insights.
Designs and implements data pipelines and ETL/ELT workflows using Python, SQL, Azure Data Factory, and SSIS to support a large Chilean bank’s analytics and reporting needs.
ENVIRONMENT: A forward-thinking Independent Asset Management Firm seeks the coding talents of a Senior Data/AI Application Engineer who is excited & passionate about the rapid shift toward AI-native development.…
Graduate programme role building and maintaining ETL/ELT pipelines, data ingestion, and monitoring for a large bank’s data platforms using modern engineering practices.
Lead the design and build of enterprise-scale data platforms on AWS and Databricks, mentoring engineers and owning ETL pipelines, data models, and BI integrations for analytics and AI initiatives.
Lead the design and build of AI-driven BI solutions using Microsoft Fabric, Azure Data Factory, SQL Server, and Power BI to transform raw data into actionable insights for a fintech ecosystem.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
