Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Lead and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
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.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
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 maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume
Shape the detailed architecture from the high-level direction, working with the architecture team
Set the engineering standards and mentor data engineers
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company has over 400 employees and $100 million in annual revenue, with a collaborative culture focused on innovation and customer delight.
Design and implement data solutions using cloud-native technologies like AWS, Databricks, and Snowflake.
Develop and optimize complex SQL queries and manage data migration at enterprise scale.
Collaborate with Agile teams to drive software and data engineering for a premier banking client.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Define and maintain architectural standards for the enterprise data platform, including data modeling, pipeline design, and orchestration.
Lead the Technical Design Document process and conduct design reviews and production readiness reviews.
Guide the evolution of the core data platform stack including Redshift, Airflow, Kafka, SQL Server, and Aurora PostgreSQL.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners to bring their visions to life. The company is committed to creating meaningful social, environmental, and economic change and has earned recognition as a Great Place to Work.
Lead the Data Engineering team and own the architecture of Snowflake, PostgreSQL, and pipelines.
Drive our transition to a Medallion architecture and modern data stack.
Partner across business teams to build scalable, trusted data platforms with strong engineering practices.
Founded in 2017, NinjaHoldings provides digital banking and lending products through CreditNinja and NinjaCard, plus analytics services via Edge. We are a lean, growing, remote-first company headquartered in Chicago with a distributed global workforce.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.