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.
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
The Data Engineer will design and maintain scalable data infrastructure and ETL pipelines to support analytical and operational business needs. The role requires proficiency in Python, SQL, and various big data processing tools within cloud environments.
Data Engineer III building and maintaining cloud-based data pipelines, lakehouse architectures, and analytics solutions on AWS (S3, Glue, EKS, Lambda) using Python and Spark for JPMorgan's International Consumer Bank.
SDE on the AWS Kumo team building SOA-based IT support systems for Amazonians, working across the full stack with Kotlin, Java, JavaScript, Ruby, and a broad range of native AWS services like Lambda, Fargate, DynamoDB, and Lex.
Lead a 3–6 engineer Claims Data Management team at Prima (online motor insurer), owning the technical roadmap, architectural decisions, and production data pipelines built with SQL, Python, and Spark.
Data Engineer at Prima, an online motor insurance provider, building and maintaining data products and pipelines for the pricing and underwriting domain using Kafka, Spark, Python, and AWS.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data sources in an enterprise environment using Python/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP).
Backend Engineer (Python) building scalable services, APIs, and LLM-powered features for an AI-first finance platform, working with Python, AWS, SQL, and REST APIs.
Sr. Software Engineer building web apps and tools for a social media program at MacDill AFB, using Ruby on Rails or Django/Python on AWS (MySQL, Redshift) to support content workflows, analytics, and engagement tracking.
The Senior Software Engineer will develop and support web applications and data tools for a social media program, utilizing Ruby on Rails, Django, Python, and AWS cloud infrastructure. The role requires an active Secret security clearance and focuses on building scalable systems for content management, analytics, and metrics tracking.
Lead design and delivery of data-enablement solutions on AWS, owning the Redshift warehouse, ELT services, and QuickSight layer while building scalable data pipelines for reporting and AI-native tooling.
Senior Data Engineer leading the design and operation of AWS-based data warehousing, ELT pipelines, QuickSight reporting, and GenAI/LLM-powered analytics capabilities for a fintech company.
Build and deploy AI-powered applications and agents using LLMs for engineers and operators in a rocket factory and launch platform, shipping reliable software in Python, Go, React, and TypeScript.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Senior Data Engineer leading data pipeline and ML data infrastructure design for Amazon's worldwide pricing algorithms, using AWS services, SQL, and Python/Java/Scala/NodeJS to process large-scale pricing data.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
