Remote Data Jobs • Databricks

The Data Engineer is a hands-on role responsible for building scalable data pipelines and developing automated reporting solutions. Requires strong technical skills, problem-solving ability, and effective communication with both technical and non-technical stakeholders. Ideal for a self-starter who thrives in a fast-paced environment and takes ownership of delivering results.

A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.

Shape our data infrastructure, develop frameworks, and establish architectural patterns that enhance our entire data engineering team's efficiency. Contribute to building and maintaining our data processing and storage pipelines/workflows while ensuring robust security, scalability, and innovation through AI integration. Take ownership of our data systems to make them world class.

As a Senior Data Analyst at Redcare Pharmacy, you’ll play a critical role in shaping data strategies and unlocking insights that drive impactful decisions across the organization. Leading complex analytical initiatives, you’ll work closely with a team of data professionals, ensuring data solutions align with business goals.

Lead major data architecture projects, providing expert technical guidance and fostering a collaborative and inclusive environment. The ideal candidate should have experience as a senior technical leader on data platform programs, including building or migrating large data platforms. Expertise with cloud providers (AWS, Azure, or Google Cloud), Snowflake, and/or Databricks, as well as DataOps, is essential.

In this pivotal role as Data Project Manager, you will drive Agile ceremonies and team productivity while fostering a collaborative environment focused on building scalable data pipelines and analytics tools to support clinical operations. The ideal candidate brings a deep understanding of Agile principles, excels in team facilitation, and has hands-on experience supporting data engineering teams working with Python, SQL, Databricks, and the Azure cloud ecosystem.

Lead the Data Engineering function, creating an environment of exceptional technical execution. As leader of Data Engineering at Headspace you will be at the leading edge of the AI revolution and have meaningful opportunities to profoundly impact the future of mental health care. You will be responsible for leading and growing a team of talented engineers, spearheading our data strategy and architecture.

Nava is seeking a Data Engineer to modernize data architectures and pipelines in government programs. You'll design and implement data models and databases, improve data pipelines, enhance data security, and write code to process data more efficiently. You will deploy and operate mission-critical, highly-available, and scalable systems by adopting and defining standards and best practices in data engineering.

The Data Engineer will curate and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for various application teams. The hire will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems, and products.

This role requires an estimated 40 hours/week commitment for 4-5 months with a possible extension. Responsibilities include leading a small client team in distribution-driven forecast analysis and enhancements, being hands-on in model development, presenting to the business and explaining complex data science problems, and being part of an agile (Jira) work environment.