Remote Data Jobs

In this role, leverage expertise in Adobe Analytics to extract actionable insights and drive strategic decision-making for our clients. Key responsibilities include configuring and maintaining tracking setups, generating reports, analyzing data to identify trends, collaborating with teams, crafting compelling data stories, and monitoring data quality.

As VP, Data & Technology you will architect this spine, build and inspire a world-class organization (Data Engineering, Data Science / Gen AI, Software Engineering), and partner with Growth, Finance, Actuary, Value Delivery, and Clinical leaders to turn insight into outsized P&L impact. Strategic technology leadership to translate complex analytics into clear, actionable narratives for business and clinical stakeholders.

We’re seeking a GCP Data Analyst with deep expertise in BigQuery, strong SQL and Python skills, and a sharp analytical mindset to support both data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.

Swiftly is searching for a Data Engineer to join their high functioning team. This role will help scale our Retailer Platform that spans multiple technologies using Azure, Databricks, and API development. The platform is an end-to-end system that ingests retailers' raw data and serves it to multiple teams downstream, including the live, production mobile applications.

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.

Be at the forefront of ensuring that Vosyn’s AI algorithms and datasets are free from bias and uphold principles of fairness and inclusivity. Collaborate closely with data scientists and engineers to identify, analyze, and mitigate potential biases, driving the development of ethical and equitable AI systems. This immersive internship offers hands-on experience, collaboration with senior management, and the opportunity to work in a fast-paced, high-growth environment.

Support the Data & Analytics Manager in the management of electronic research data systems and contribute to the overall quality and integrity of clinical research data across multiple multi-site studies within the Military Health System (MHS). This role has a strong emphasis on clinical data management, including database development (primarily in REDCap).

As a Senior Data Engineer, you’ll play a key role in scaling and refining our data platform. Your mission is to ensure that data across the organization is accurate, accessible, and actionable. You’ll design and maintain robust pipelines, drive monitoring and observability strategies, and help shape our data governance and quality standards.

Serve as the technical lead and architect for data platform modernization efforts, with a strong emphasis on Databricks implementation and Informatica-to-Databricks migration. Design and deliver scalable data solutions covering ingestion, transformation, orchestration, and analytics using tools like Azure Data Factory, Azure Data Lake, Synapse, and Azure Databricks.

Looking for neuroscience specialists who live and breathe neuroanatomy, neurophysiology, neurochemistry, cognitive neuroscience, behavioral neuroscience, neuroimaging, neurodegenerative diseases, neural networks,sensory processing, and synaptic plasticity. You’ll challenge advanced language models on topics like brain structure and function, neuroplasticity, neurogenesis, neurotransmitter systems, brain disorders, and neurodevelopmental processes—documenting every failure mode so we can harden model reasoning.