Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.
Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.
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, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Architect and implement scalable cloud-native analytics platforms like Databricks and Snowflake.
Act as a hands-on bridge between business strategy and engineering teams, translating rules into code.
Design and automate decision engines that integrate multi-source retail and POS data for campaign measurement.
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.
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 and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Design and build scalable data pipelines (batch & streaming) on GCP.
Develop and manage API-driven integrations (REST, JSON, event-based).
Work with healthcare data standards such as FHIR, HL7, and EDI.
Egen is a data-first consulting firm specializing in Google Cloud and Salesforce, helping clients drive action through data and insights. The company is fast-growing and entrepreneurial, with a culture focused on learning, problem-solving, and innovation.
Lead and coach a team of data engineers and applied data scientists while fostering team health and high performance.
Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives.
Drive the architecture and delivery of scalable data pipelines, ML models, and algorithmic systems for internal and member-facing experiences.
AllTrails is the app for exploring the outdoors, connecting people to their next adventure. It is home to the world's largest outdoor community, with a team that values positivity, innovation, humility, adaptability, inclusivity, and stewardship.
Design and implement scalable lakehouse architectures using Bronze, Silver, and Gold patterns with technologies like Kafka, Spark, and Airflow.
Build and manage high-performance streaming and batch data pipelines and open table format solutions such as Iceberg, Delta Lake, and Hudi.
Optimize distributed query environments, maintain platform reliability, and partner with data scientists and product teams to deliver impactful data capabilities.
The partner company is building scalable data platforms that power analytics, machine learning, and next-generation products. They offer a collaborative and supportive work environment focused on innovation and continuous learning.
Lead the migration of analytics workflows into BigQuery and build reliable ETL/ELT pipelines.
Consolidate on-chain and off-chain data into a trusted ecosystem and establish data governance standards.
Work closely with Data Science, Backend Engineering, Risk, and Product to translate complex needs into scalable infrastructure.
This company operates in the financial technology sector, building advanced analytics and risk management products using blockchain and crypto data. It is an early-stage, well-capitalized organization with a fully remote team that values autonomy, technical excellence, and strong ownership.
Support and maintain production GCP data platforms, pipelines, and workflows.
Optimize Airflow DAGs and troubleshoot pipeline failures and performance issues.
Collaborate with cross-functional teams on production issues and enhancements.
Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, it delivers high-quality data and outcomes for customers.
Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
Partner with product and analytics teams to deliver data-driven customer experiences and insights.
Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Design end-to-end cloud-native data architectures using AWS and Databricks.
Architect scalable batch and real-time data processing solutions using Apache Kafka and streaming technologies.
Collaborate with business stakeholders to translate requirements into scalable technical solutions.
Allwyn Corp is a technology company that provides data solutions and cloud-native services. The company values innovation and technical excellence, fostering a culture of collaboration and continuous learning.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.