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.
Data Warehousing Analyst gathering requirements, analyzing business processes, and designing data solutions using Teradata and Informatica, with extensive ETL, data modeling, and SQL work.
Job Responsibilities: Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure Work on timely resolution…
Role: Quality Engineer SDET Location: Pittsburgh, Dallas, Denver Required Skills: Mainframe Technologies - Strong expertise in Core Banking. CICS Validation, DB2 and Mainframe-based testing. Candidate should possess…
CSpring is seeking a Senior Azure Data Engineer to design and build scalable data pipelines and enterprise data platforms using Azure technologies like Databricks, Synapse, and Microsoft Fabric. The role involves developing ELT workflows, implementing medallion architectures, and leading cloud migration initiatives.
QA Analyst validating ETL data pipelines for a state Medicaid system, writing complex SQL queries, building Python automation with SQLAlchemy and Pandas, and integrating tests into Azure DevOps CI/CD pipelines.
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve…
The Migration Data Architect will design and lead complex data migration projects from legacy systems to GCP, specifically focusing on BigQuery, Databricks, and Dataproc. The role involves defining migration strategies, optimizing data pipelines, and collaborating with international teams.
The Data Migration Architect will design and execute large-scale data migrations to Google Cloud Platform (BigQuery) from traditional warehouses like Teradata. The role requires expertise in Java or Python, SQL optimization, and the Databricks/Dataproc ecosystems.
The Senior Data Engineer will migrate data solutions and ETL processes from Teradata to Google BigQuery for a telecommunications client. The role involves analyzing existing SQL transformations, validating data quality, and integrating solutions into production environments.
The Lead Data Engineer will provide technical leadership for a government data warehouse platform, focusing on SQL development, ETL solutions, and data modeling. The role involves reviewing data designs, improving delivery frameworks, and maintaining high coding standards using technologies like Python, SQL, and various cloud data platforms.
Designs and maintains enterprise data pipelines, warehouses, and governance frameworks to support Pacific Life Re’s global back-office transformation, ensuring data-driven reporting and compliance for internal stakeholders.
The Data Engineer will design, build, and maintain scalable data pipelines and workflows in Snowflake to support healthcare and life sciences clients. The role requires strong expertise in Snowflake, Python, and SQL to transform raw data into analytics-ready structures while adhering to DevOps and CI/CD best practices.
Responsible for advanced predictive data analytics using big data and data science technology for healthcare innovation, performing analysis on structured/unstructured data, developing algorithms, and using tools like SAS, R, and database technologies.
Senior Software Engineer/Developer focused on designing and executing test automation frameworks, CI/CD pipelines, and QA for web, mobile, API, and data systems using Java, TypeScript, JavaScript, Angular, Spring Boot, Docker, Kubernetes, AWS, and Azure.
Developing data scientist transforming data into actionable insights using statistical, machine learning, and ETL methods with SQL, Python/R, and data visualization tools in a large employee benefits company.
Builds and maintains backend services for RBC’s metadata management platform, focusing on Python, MongoDB, and RESTful APIs to ensure data governance, compliance, and scalability in financial services.
Designs and migrates on-premises big data platforms (Netezza) to AWS, building scalable pipelines, ETL/ELT workflows, and real-time data processing systems using AWS services like EMR, Redshift, and Airflow.
Designs and implements ETL pipelines to extract, transform, and load data between systems, collaborating with PMs, BAs, and DBAs to ensure seamless data integration across Unix/Linux environments using Informatica, Python/Perl, and RDBMS tools.
Data Engineer building ETL pipelines with automated tests for a mortgage portfolio, translating complex data into actionable insights using SQL, Teradata, Snowflake, DBT, and Tableau in a hybrid setting.
Build and maintain ETL pipelines, standardize mortgage portfolio data, and create dashboards to drive data-driven decisions for a sustainable bank.
We couldn't check your fit for this role — add a CV to your profile to see it next time.