Remote Data Jobs • Spark

This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed. You will build fully managed workflows, enabling high throughput, horizontal scalability, and advanced parametrized, event-based scheduling. Your team will build an ETL framework for incremental data processing for increased data accuracy, freshness, and easy backfill to directly impact the cost and operational efficiency of Analytics and ML.

This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day.

As a Data Engineer, you will analyze, design, and implement data pipeline features and infrastructure improvements. You will write efficient, well-tested code and conduct unit and integration testing. You’ll build and optimize data ingestion and ETL/ELT processes. You’ll participate in end-to-end project delivery—from ideation to production. You’ll collaborate cross-functionally with security and product teams to embed security and compliance best practices into development processes.

Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.

We are looking for a technically skilled and data-savvy analyst with a passion for building scalable pipelines and uncovering insights from distributed data sources. This role blends data analysis with infrastructure expertise—ideal for someone comfortable working hands-on with cloud technologies, wrangling raw data into clean, reliable structures, and helping shape a robust Azure-based data ecosystem. This is a contract to hire role that can be remote but must provide occasional onsite support.

The Senior Data Engineer position at Temporal Technologies will play a key role in transforming and analyzing data within the data platform. This position requires an experienced data engineering professional with deep expertise across the entire data stack, and the ability to collaborate effectively with stakeholders. The ideal candidate will rigorously apply software and data engineering best practices to the ingestion, storage, modeling, and analysis of data.

Looking for Data Engineers with EST availability to assist in developing intelligent solutions enabling customers to accelerate discovery, acquire clinical insight, & address R&D challenges. Responsibilities include data organization & analysis, building data systems & pipelines, preparing data for prescriptive & predictive modeling, & designing end-to-end pipelines within a hybrid big data architecture using Cloud Native AWS, Python, & SQL.

As a Data Engineer in OpenData, you will take responsibility for the OpenData data processing workflows in US. You will be building and maintaining data processing tools, pipelines and reports, ensuring data quality in our reference data. Veeva values end-to-end ownership, which gives you the freedom to determine the correct course of action, do all due diligence, and execute solutions in your own creative way.

As a Staff AI Researcher, you will develop ML and AI solutions that will improve health for millions of people. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows. As a Staff AI Researcher, you will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions.

Join the team on a temporary, 12 month project. As a Data Engineer, you will build and maintain the Unified Data Fabric serving as the foundation for a misleading marketing motoring and oversight system, responsible for ingesting, processing, and standardizing data from multiple sources including internal data sources and social media advertising platforms. You will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.