Collaborate with data scientists to create data pipelines for industrial data including sensors, video, and audio streams.
Work with engineering experts to solve operational use cases using ML-Ops systems for machine learning and advanced analytics.
Ensure data quality, cleaning, and integrity for reliable 24/7 ML-Ops operations, using tools like Aveva PI and AWS.
Maya HTT is a world leader in developing digital industries software solutions, helping top engineering and manufacturing organizations maximize their software investments. The company focuses on industrial data, AI, machine learning, and Industry 4.0, with a team delivering cutting-edge digitalization solutions.
Build and maintain Bronze-to-Gold pipelines in Databricks with Unity Catalog and metric views.
Extend automated data quality checks across gold-layer tables and validate against Power BI reports.
Establish documented pipelines, access models, and a working intake process for cross-department data requests.
CoreView empowers organizations to master Microsoft 365 complexity through robust security and governance. They serve over 23 million users worldwide and foster a collaborative, innovative culture.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.
Own the integrity, validation, and reliability of data pipelines powering the product.
Design and execute frameworks for data quality assurance and validation across the organization.
Partner with engineering, quantitative modelers, and solution architects to ensure data is launch-ready and validated.
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. Led by pioneers in data, climate, and technology, the company fosters an inclusive, mission-driven culture and is committed to preparing economies for climate change.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Design and implement data integration workflows connecting MES, ERP, PLM, and quality systems for end-to-end traceability and compliance.
Build scalable ELT/ETL pipelines for operational and analytical workloads across cloud and on-premises manufacturing environments.
Partner with cross-functional teams to ensure data workflows meet regulatory standards like AS9100 and ITAR.
Voyager is an innovative space, defense, and national security technology company delivering mission-critical solutions. They foster a culture of doers, thinkers, and builders who thrive on solving complex challenges.
Configure and support data ingestion from various sources using APIs, webhooks, syslog, and more.
Develop and maintain pipelines for collection, routing, filtering, enrichment, and transformation.
Validate data completeness and troubleshoot issues, while documenting flows and recommendations.
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations minimize risk. It is a rapidly growing, privately-held company with over 1,300 employees, known for its collaborative culture and mentorship.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Build and modify high-complexity ETL and data pipelines for large-scale datasets.
Develop monitoring and alerting systems to proactively identify data and infrastructure issues.
Lead end-to-end data engineering initiatives across cross-functional teams, including planning and system design.
ItD is a new generation consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a global community, offering opportunities with Fortune 500 companies and high-performance teams.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
Identify, design and implement improvements to optimize data delivery and automate manual processes.
Eneba is building an open, safe, and sustainable marketplace for gamers, supporting over 20 million active users. They are a fast-growing company that values data-driven decision-making and fosters a healthy data culture across the organization.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.
Design and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
Design, build, and improve a scalable data platform to provide data solutions for product teams.
Develop and manage automated data pipelines using cloud-based and on-premise technologies.
Ensure data quality, lineage, and observability across the stack while collaborating with product and business teams.
lemlist is a bootstrapped sales engagement platform that grew from $0 to $57M ARR in 8 years. It is a profitable B2B SaaS company trusted by 40,000+ sales teams worldwide.
Design and optimize scalable data platforms, pipelines, and governance frameworks.
Lead data strategy and collaborate with leadership, engineering, and AI teams.
Mentor engineers and drive platform modernization with an AI-forward mindset.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.