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At Octopus Energy Services, we're at the forefront of the energy revolution, committed to accelerating the global transition to a sustainable future. The widespread adoption of low carbon technologies is critical…
Analyzes investment performance and portfolio trends for a venture capital fund focused on fintech startups.
Analyze, validate, and transform large datasets; build batch and streaming data pipelines; optimize queries and processes; collaborate on data models and Data Lake design using SQL, Python, Spark, Kafka, and related tools.
Build and maintain a high-throughput data platform for credit scoring using PySpark, ClickHouse, Airflow, and Linux infrastructure.
Build and maintain Silverflow’s cloud-native data platform, writing ETL pipelines and infrastructure-as-code to power real-time payments analytics and AI tooling in a regulated environment.
Build and scale distributed web scrapers that bypass anti-bot systems, reverse-engineer APIs, and collect large-scale data for analytics using Python, Scrapy, Playwright, and cloud tools.
Build and maintain AWS-based data pipelines (S3, Athena, Glue, Lambda) to process large volumes of structured and semi-structured data for Experian’s fintech products.
Data analyst building DWH/BI pipelines and risk-reporting dashboards; writes SQL, Python, PySpark to analyze credit portfolios and validate AI-agent outputs.
Designs and implements data transformation/modeling layers on Lakehouse platforms (e.g., Iceberg) for a vehicle management app, ensuring safe changes via testing and documentation. Builds tools for self-service data access, operates CDC pipelines, and optimizes query performance for analytics on AWS with Kafka, Flink, and SQL databases.
Design and build scalable data pipelines and analytics solutions using AWS, SQL, and cloud services to support Southwest Airlines' operational and enterprise decision-making.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Build and migrate scalable data pipelines in Microsoft Fabric and Azure, refactoring pandas logic to PySpark and optimizing Synapse workloads for analytics and reporting.
Designs and builds Denodo-based data virtualization layers that integrate enterprise sources (SAP, Oracle, SQL) into reusable semantic views for analytics and reporting.
Design and industrialize IoT and embedded data platforms, building scalable batch/streaming pipelines and ensuring data quality for smart-factory and connected-product initiatives.
Design and build end-to-end ETL pipelines and data models for supply-chain planning, integrating ERP, IoT, and logistics feeds using Python, Spark, Kafka, and cloud platforms.
Build and integrate AI-driven software for naval systems using Rust, Python, and React, maintaining real-time data mesh and tactical data pipelines to support warfighters.
Build and maintain automated tests for geospatial data pipelines using Scala, Spark, and Azure; validate data quality and contribute to CI/CD workflows.
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of…
Senior Data Engineer - Philadelphia, 19109, United States of America How we LEAD: We are seeking an experienced and driven Senior Data Engineer Enterprise Data Products within the Global Data & Analytics team. You…
Build high-performance data visualization tools and reusable component libraries for complex telemetry data using React, TypeScript, and modern web technologies.
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