Remote Data Jobs

Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows and sync with engineering teams. Keep existing pipelines, Airflow, dbt, and ingestion tools running smoothly with minimal downtime. Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results.

We’re looking for someone passionate about data and problem-solving to join our team as a Data Research Intern! This is an internship role with the potential to extend. Focus will be on providing guidance on navigating ownership processes and related regulations. Also, delivering insights and intelligence on real estate, cadastral, and industry-specific data; scaling data effectively to support decision-making and strategic planning.

You will leverage your expertise in SQL, Python, and other analytical tools to build data solutions that drive strategic decision-making across the organization. You’ll design and develop dashboards and visualizations that turn complex data into clear, actionable insights for stakeholders at all levels, including executive leadership. With a strong understanding of business needs, you’ll create data products, tools, and resources that support experimentation, optimize customer experiences, and unlock new opportunities in the pet health space.

You will play a pivotal leadership role in shaping the long-term technical direction of our platform and data architecture, translating complex business needs into a clear architectural vision. You will act as a trusted technical advisor to senior engineering and product leaders, while guiding and influencing engineering strategy across the organization. As a hands-on technical leader, you will guide senior engineers and architects to execute on the architecture roadmap.

This position is needed to build intelligent systems that drive user acquisition, engagement, and retention at scale. You'll work at the intersection of data science, engineering, and marketing, transforming insights into real-time decisions and personalized experiences across our growth engine. You will lead develop and build data products and advanced machine learning models that support business growth.

Johnson & Johnson is recruiting for an Experienced Data Engineer to play a pivotal role in building the modern cloud data platform. This role requires in-depth technical expertise and interpersonal skills to accelerate data products development as part of the fast-paced data platform team. Data Engineering Responsibilities include developing and maintaining complex SQL queries and building data pipelines in Azure.

The Power BI developer builds complex dimensional data models and reports from the bottom up, visualizes compelling data stories on the report canvas, collaborates with other teams to engineer revolutionary agency wide data solutions, develops and implements data visualization solutions. They rely on experience and judgment to plan and accomplish goals, and can independently perform a variety of complicated tasks.

Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation.

Develop robust, scalable ML software for predictive and generative modeling tasks related to genomics data (eg. Interactome, Cell & Tissue modeling). Design and implement ML algorithms to enhance NGS sequencing pipelines. Apply reasoning techniques—including LLMs, Graph Neural Networks, Gen AI models—for extracting insights to advance drug discovery from simulation, omics data, and literature.

Act as a subject‑matter “teacher” for the model. Write & solve problems in the domain of Health Sciences. Design rubrics that define what a perfect answer looks like. Grade model outputs, pinpointing gaps in logic, ethics, or clarity. Coach the model to self‑evaluate, reason step‑by-step, and unlock creativity. Collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Health Sciences.