Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.
Acquire, clean, and preprocess diverse datasets; build infrastructure for ETL using cloud services and SQL.
Develop data migration strategies and schemas; optimize databases for efficient querying.
Perform exploratory data analysis and create visualizations to communicate findings.
Our Data Engineering & AI/ML team designs and maintains robust data systems, constructing and optimizing data pipelines and storage solutions. Our skilled professionals specialize in data engineering, database management, and infrastructure architecture.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.
Analyze data to design solutions supporting critical business objectives.
Build and maintain reusable datasets, dashboards, and models.
Ensure data quality through documentation and clear data lineage.
Liberty Mutual is a diversified global insurer that helps people protect and insure their assets. As a large company with a focus on inclusion and professional development, it fosters a culture where every employee can do their best work.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Building optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.
Modelling DER physical behaviour to connect control with market participation.
Operating large DER fleets in real time.
Lunar Energy is building an ecosystem of all-electric products for homes, starting with a home battery system and cloud PaaS for managing DER assets. They are a team of visionary entrepreneurs and industry experts united by a shared vision of electrifying homes through an integrated software platform.
Build and automate data pipelines using AWS to support cross-functional teams.
Manage and prioritize projects to improve data access and reliability.
Investigate and iterate on small improvements to enhance the data environment.
Nex combines technology and play to deliver active gaming experiences that get families moving. It is a growing, product-driven company with a culture that values talent and individual growth.
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions.
Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.