Design, build, and maintain scalable data pipelines on AWS using S3, Glue, Redshift, Athena, and EMR.
Provision and manage AWS data infrastructure using Terraform and CloudFormation, and orchestrate workflows with Apache Airflow.
Implement HIPAA and HITRUST security controls, and collaborate with teams to ensure data quality and compliance.
AspenView Technology Partners specializes in building high-performing nearshore IT teams for North American clients. They are a people-first company with a culture that blends U.S. innovation and Latin American talent, offering flexible work and growth opportunities.
Build and maintain high-volume ingestion and ETL pipelines in Python that process telemetry from mobile endpoints.
Implement detection logic from research prototypes and design parsers for complex mobile forensic artefacts.
Ensure data platform scalability and reliability, establishing monitoring, alerting, and data quality checks.
iVerify is the first mobile threat hunting company that protects mobile devices like any other vulnerable corporate endpoint. They are a venture-backed company committed to building a diverse, equitable, and inclusive workplace.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
Architect, design, build, deploy, and maintain Model Serving infrastructure using industry-standard AI tools.
Own projects that scale model serving and data processing services to handle 10x traffic.
Collaborate closely with MLE and Data Science teams to distill feedback and execute on strategy.
Abnormal AI protects the humans behind the world's most critical organizations from AI-powered cybercrime. Over 4,500 enterprises trust their behavioral AI platform, fostering a culture of innovation and security.
Design and develop scalable data architectures and cloud-based data solutions using GCP.
Build and maintain data pipelines using BigQuery, Dataflow, Dataform, and other GCP data services.
Collaborate with technical and business stakeholders to translate requirements into reliable data products.
Huge is an independent, human-first AI-native design and technology company. They bring together more than 1,000 design and technology experts worldwide to partner with ambitious brands.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
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.
Design and maintain data pipelines on AWS using Spark, Python, and SQL.
Orchestrate workflows with Airflow, containerize with Docker and ECS.
Collaborate within agile teams to deliver high-quality data solutions.
Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
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.
Build and operate Lumin's security fabric engineered for reliability and scale across hundreds of environments.
Design and maintain agentic AI workflows using tools like Claude Code and MCP integrations to automate security platform engineering.
Write production-quality Python applications and tooling supporting platform operations and AI-assisted workflows.
Lumin Digital is a trailblazer in digital banking solutions, providing cloud-native digital experiences for credit unions and banks. We foster a culture of curiosity, innovation, trust, and respect, with a focus on collaboration and continuous improvement.
You will act as a technical reference for Data & Analytics, providing support and guidance on technical needs and incidents.
You will collaborate on defining data platform components and validating architectures for new projects and use cases.
You will advise teams on best practices for architecture, security, governance, observability, and cost management.
Devoteam is a technology consulting firm that helps large organizations evolve their data architectures, cloud environments, and security practices. The company fosters a collaborative remote culture and invests in employee development through training, certifications, and performance reviews.
Design, build, and maintain cybersecurity data pipelines using Cribl, managing data flows from source systems into SIEM and data lake platforms.
Develop and integrate connectors for security data ingestion, configure parsing, routing, and transformation, and support SIEM architecture and operations.
Troubleshoot complex pipeline issues, create documentation, and collaborate with cross-functional teams to ensure data accuracy, security, and performance.
Cribl is a cybersecurity and data engineering company that helps organizations manage and optimize security data pipelines for SIEM and data lake environments. As a growing company with a small team, they emphasize independent problem-solving, collaboration, and a culture that values technical excellence and clear communication.
Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data.
Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database.
Own CI/CD using GitHub Actions, write production code in Python, and operate on Databricks and AWS infrastructure.
Torc is an autonomous driving technology company that develops software for automated trucks. Founded in 2007 and now part of Daimler, the company has a collaborative culture and offers competitive benefits.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Apply practical security principles and AI-native workflows to deliver technical solutions to end users and internal teams.
Lead and deliver impactful enhancements for the Data Security team, enforcing security and privacy standards.
Design and implement customer data governance solutions that enable security and privacy by design.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. Over 4,500 enterprises trust their behavioral AI platform.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.