Define strategic Databricks adoption roadmaps and platform guardrails for enterprise clients.
Embed with client teams to implement high-priority use cases, then guide them toward self-service.
Act as a data engineering SME in pre-sales and coach client teams on Databricks best practices.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. They are a fully remote global company with employees across Canada, the United States, and Latin America, fostering a culture of technological curiosity and inclusion.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.
Build the data control plane for governance and discovery.
Create paved roads for data products with SDKs and CI/CD.
Ensure every data product is observable by default.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees, the company uses a creative science approach to deliver innovative ad experiences across CTV, eCommerce, social, and mobile.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Define and enforce best practices and coding standards across the project.
Design, develop, and maintain robust and scalable Spark applications.
Work closely with cross-functional teams to deliver high-quality software solutions.
Exadel is an AI-first global tech company with 25+ years of engineering leadership and over 2,000 team members. With a culture of ambition, collaboration, and constant evolution, they power Fortune 500 clients including HBO, Microsoft, Google, and Starbucks.
Lead end-to-end data governance workstreams including data cataloging, data quality, metadata management, lineage, and access control frameworks.
Translate client business needs into governance solutions and roadmaps without requiring significant oversight.
Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.
Lovelytics helps enterprises modernize their data and implement AI, delivering over $2B in business value for Fortune 500 clients. They have grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture that earned them a Best Places to Work recognition.
You will develop and maintain end-to-end data pipelines and contribute to Samsara's Data Platform for advanced automation and analytics.
You will design, build, and optimize large-scale Spark and PySpark workflows for batch and streaming data processing.
You will build and maintain MCP servers and AI agents, and champion data engineering best practices across the team.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights. As a recently public company, they foster a culture of autonomy, support, and rapid career development in a hyper-growth environment.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.