Develop and implement data ingestion solutions using AWS database and cloud-native technologies.
Design, administer, and optimize relational and NoSQL database environments including Amazon RDS, DynamoDB, Redshift, Athena, and S3.
Design and implement indexing strategies, replication, backup, and disaster recovery solutions across multiple AWS Regions.
Peraton is a next-generation national security company that provides mission capability integration and transformative IT solutions to government agencies across all domains. With a focus on solving complex challenges, the company employs thousands dedicated to protecting national security interests worldwide.
Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
Mentor junior data scientists and drive best practices in experimentation and analytics.
Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.
Build and improve ML components across data, training, evaluation, and inference.
Implement evaluation and testing to understand model behavior.
Debug model issues, performance problems, and production incidents.
This company builds core ML components for large-scale production systems. They emphasize real-world learning, iteration, and collaboration with senior engineers.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Leverage AI-assisted data quality practices including GenAI-based rule generation, intelligent anomaly detection, and automated triage of data quality issues.
Develop and automate data quality checks using SQL and Python in Snowflake, implementing validation and reconciliation across batch and streaming pipelines.
Build reusable data quality automation components and mentor team members on best practices and AI-driven frameworks.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. It is led by top industry talent and physician leadership, consisting of scalable operations and end-to-end cloud-based technology.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.
Lead and mentor a high-performing data science team at the intersection of blockchain, intelligence, and machine learning.
Drive technical innovation across a diverse stack including Airflow, BigQuery, Kafka, and Python.
Collaborate cross-functionally to transform raw blockchain data into insights for TRM's products and customers.
TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. It is a Series C company with $220M in total funding, backed by Blockchain Capital and Goldman Sachs, operating as a distributed-first company.
Shape Mozilla's most important business decisions with rigorous, data-driven insights and influence executive strategy.
Build trusted partnerships with senior leaders and cross-functional partners to drive alignment and faster decisions.
Design sophisticated analytical solutions for large-scale problems, mentoring data scientists and raising technical standards.
Mozilla is a non-profit-backed technology company that pioneered the Firefox browser and shapes the internet for the better. With over 225 million monthly users and a mission-driven culture, Mozillians design open-source software globally.
Own discrete analytics projects from start to finish with senior analyst guidance.
Build and maintain dashboards for Product and Technology teams to track progress.
Work with clickstream and behavioral data (Amplitude) to understand user product journeys.
1Password builds enterprise password management and Unified Access Management cybersecurity solutions. With over 180,000 business customers and a spot on the Forbes Cloud 100, they foster a human-centric, collaborative, and fast-paced remote-first culture.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.