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.
Staff backend engineer at FirstWork, an applied-AI company building an HR operations platform for frontline hiring. You'll architect and build the agent runtime, compliance/rules engine, and data architecture that let AI agents scale reliably across hiring, verification, and payroll at enterprise volume.
Backend engineer at FirstWork (YC) building AI-powered product features for frontline hiring: LLM-driven document, browsing, voice, and conversational agents plus the APIs and async workflows behind them. Core stack is Python/Django, SQL, and Temporal, shipping weekly at real enterprise scale.
Responsibilities\: Design and deliver end to end data solution across Microsoft Azure and Fabric platforms. Build and maintain scalable, high performance data pipelines using Azure Data Factory and Fabric. Engineer…
Position Overview : As Sales Compensation Analyst you will support the Variable Compensation Manager for the Go-to-Market and non-Go-to-Market incentive programs. Together with your manager, you’ll create, manage and…
Summary The Wikimedia Foundation is looking for a Senior Procurement Specialist to support procurement operations, strategic sourcing, vendor management, and contract drafting needs across our global organization. This…
FreedomCare is a healthcare company that has been dedicated to revolutionizing the home care industry since 2016. We support our patients by ensuring they have the power to choose a caregiver who will care for them in…
Contract Data Engineer (6 months, remote) working on a Snowflake data migration project. Day to day involves building Azure Data Factory pipelines, writing dbt transformations for Snowflake, creating/loading/testing Snowflake objects, and managing code and CI/CD in Azure DevOps.
Junior Data Engineer (2-3 years) in Pune working from office, building and maintaining ETL/ELT data pipelines, writing and tuning SQL, and using AWS services (S3, Glue, Redshift, Lambda) with Python for data processing and analytics.
Lead Data Engineer in Bangalore owning enterprise data architecture and building scalable ETL/ELT pipelines for US healthcare data (EHR, RCM, claims), supporting BI, analytics, and AI/ML workloads. Core stack includes SQL, Python, relational and analytical databases, workflow orchestration (e.g., Apache NiFi), and cloud platforms (AWS/Azure/GCP).
Data Engineer building and maintaining data pipelines on the Databricks platform (Bronze/Silver/Gold layers) using SQL, Python, PySpark, and Spark. Day to day involves data profiling, reconciliation, validation of partner-delivered solutions, data quality/Unity Catalog support, and performance tuning.
Hands-on Data Engineer role in Bangalore focused on building and maintaining ELT transformation pipelines with dbt, designing Data Vault models, and executing data migration projects from legacy platforms, with strong SQL, data quality, and CI/CD practices. Snowflake and regulated-industry experience are a plus.
Senior Data Engineer in Hyderabad building the data foundation behind analytics, experimentation, and ML: designing dbt models, developing Databricks/PySpark pipelines, and orchestrating workflows with Airflow while partnering with Data Science to productionize feature pipelines.
CoffeeBeans, a Bangalore-based technology consulting firm, is hiring a Lead Data Engineer with 6–10 years of experience to design, build, and maintain scalable data pipelines and platforms. The core stack includes SQL, Python or Java, Apache Spark, Airflow, Databricks/Snowflake, and a major cloud provider.
Senior Data Engineer on an initial 6-month contract building and supporting AWS data solutions: designing data pipelines/ETL-ELT and Redshift data warehouse work using S3, AWS Glue, AppFlow, Lambda, SQL, and Python, plus AI/GenAI tooling. Remote in India (Mumbai, Delhi, or Bangalore preferred), working 2:00–11:00 PM IST.
A 6-month remote contract for a Senior Data Engineer with ~5 years of experience, working on a Snowflake data migration. Day to day involves building Azure Data Factory pipelines, writing dbt transformations for Snowflake, and managing code and CI/CD in Azure DevOps.
Senior Data Engineer designing, building, and maintaining scalable cloud data pipelines (batch and streaming) on GCP, with Snowflake and Databricks also required. Core stack includes Python/PySpark, SQL, and multi-cloud data infrastructure across AWS, GCP, and Azure.
Senior Data Engineer in Hyderabad (on-site) who designs and runs end-to-end batch and streaming data pipelines using PySpark/Apache Spark on Databricks with Delta Lake, plus Azure data services like Data Factory, ADLS Gen2 and Event Hubs, and advanced SQL data modeling. Full-time, permanent role for candidates with 8-14 years of experience.
A senior data engineer role in Bangalore building and optimizing big-data ETL/ELT pipelines, centered on Scala and Spark (PySpark/Scala Spark) development in Azure Databricks, with SQL, data warehousing, and Azure cloud data services as core technologies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.