Vagas remotas de Python com elegibilidade clara.

Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.

• Middle
• AWS
• Golang
• Kubernetes
• +3

Support production systems and help triage issues during live sporting events

• Senior
• AWS
• Kubernetes
• Python
• +2

Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work

• Senior
• AWS
• Python
• SQL

Designs, builds, and maintains resilient ETL/ELT pipelines that ingest data from on‑premise systems, AWS services (S3, RDS), and Azure platforms (Blob Storage, Azure SQL)

• Senior
• AWS
• Azure
• Docker
• +3

7–10 years of experience in Data Engineering Strong SQL and programming skills (Python/Scala/Java) Experience with big data tools and cloud data platforms Knowledge of data modeling and schema design Originally posted on Himalayas

• Senior
• Java
• Python
• Snowflake
• +2

Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics

• Senior
• CI/CD
• PostgreSQL
• Python
• +3

This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere) Immediate joiners must apply Data Engineering

• Middle
• Python
• 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

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.

• Senior
• AWS
• CI/CD
• Docker
• +9

Building and maintaining a data platform for the public transport industry — designing scalable ELT pipelines in BigQuery using dbt, handling real-time data (GTFS-RT)

• Senior
• Python

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

Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python.

• Senior
• AWS
• Java
• Python
• +1

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

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

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

, 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

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

• Senior
• AWS
• Azure
• Docker
• +5

Design, build, and maintain scalable data pipelines across diverse environments.

• Senior
• AWS
• Azure
• CI/CD
• +7

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads

• Senior
• AWS
• Azure
• GCP
• +3

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Connect with cross-functional teams: The data environment we’re building will be used by members of the Accounting, Finance, Supply Chain, and Publishing teams, among others.

• Senior
• AWS
• Python
• SQL

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

and skills: Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g.

• Senior
• Java
• Python
• SQL

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly

• Python
• Salesforce
• Snowflake
• +2

📌 What You'll Bring ✅ 5+ years of experience in designing and building scalable data lakes in cloud environments. ✅ Advanced programming skills in Python or Java.

• Junior
• GCP
• Java
• Python
• +2

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.

• Middle
• AWS
• Azure
• CI/CD
• +4

Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.

• Middle
• CI/CD
• Python
• Salesforce
• +2

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Build scalable ingestion and transformation with tests and documentation

• Middle
• Azure
• Python
• Snowflake
• +1