Design, build, and maintain scalable data pipelines for clients across industries.
Architect and optimize cloud data warehouse solutions, adapting to each client's stack.
Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled.
NuView Analytics helps companies accelerate the time to insights from their data through data analytics, diligence, and fractional data science. They are a growth-stage company looking to drive additional value from the data they are sitting on and value humility, intellectual rigor, and stewardship.
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion.
Implement data quality checks, monitoring, and validation processes.
Automate manual processes into centralized and scalable solutions.
Informa TechTarget accelerates growth from R&D to ROI, informing and connecting technology buyers and sellers. They are a vibrant community of over 2000 colleagues worldwide and traded on Nasdaq as part of Informa PLC.
Design and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.
Contribute to architecture and implement robust data pipelines.
Drive the creation of a secure, compliant, and privacy-focused data warehousing solution.
Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting.
Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. The company values making the mission matter, iterating to great, owning the outcome, and connecting with courage.
Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
Develop and manage robust data integrations with external vendors and organizations (including complex API integrations).
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions.
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Design, build, and maintain data pipelines connecting internal systems to the organisation’s Delta Lake environment.
Develop and optimise SQL-based data transformations and relational data models to support analytics and reporting.
Integrate new data sources and systems into the data platform as the organisation expands its technology landscape.
Smart Working believes your job should not only look right on paper but also feel right every day. It connects skilled professionals with outstanding global teams and products for full-time, long-term roles, offering a genuine community that values growth and well-being.
Design, develop, and maintain scalable data pipelines using cloud data services.
Serve as a technical leader, defining data engineering standards and best practices.
Lead the design and implementation of optimized data models in our cloud data warehouse.
Constant Contact empowers people by giving them the help and tools they need to grow online. They are energized by new challenges and possibilities, and they celebrate diversity and inclusion with programs in place to bring people together.
Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Coach & mentor other engineers to support the growth of their technical expertise.
Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks.
Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards.
Manage individual Data Engineers to foster learning, growth and success at Doximity.
Doximity is transforming the healthcare industry with a mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, they are committed to building diverse teams with an inclusive culture.
Lead and grow a team of data engineers, providing mentorship and technical guidance.
Own execution of customer integrations across multiple product lines, ensuring on-time delivery.
Improve data quality and pipeline reliability by investing in better alerting and resilience.
Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food. They are on a mission to eliminate food waste and make fresh food accessible to all and has saved 200M lbs of food waste in 2025 alone.
Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.
Design and build mission critical data pipelines with a highly scalable distributed architecture.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
Build and support reusable framework to ingest, integration and provision data
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.
Leads the design, development, and technical stewardship of data engineering systems.
Provides direct leadership, accountability, and professional development for the Clinical Data Engineering team.
Serves as the primary data engineering liaison to clinical and operational partners.
OHSU's Information Technology Group (ITG) provides and supports technology and information services. The Business Intelligence and Advanced Analytics (BIAA) Division leverages informational assets to enhance financial, clinical, operational, and research decision-making.
Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.
Design, build, and maintain scalable data pipelines.
Develop and optimize ETL/ELT processes using cloud data technologies.
Partner with teams to understand data requirements and improve data capture strategies.
Blueprint is a technology solutions firm with a strong presence across the United States, solving complicated problems for their clients. They are bold, smart, agile, and fun, and believe in unique perspectives, building teams of people with diverse skillsets and backgrounds.
Define and work within our data governance practices, including a catalog/dictionary and management of data quality.
Manage lights-out data operations of our ETL/ELT pipelines ranging from streaming inputs to batch file loads, to support customer reporting, development, and operations.
Untangle, normalize, synthesize as needed to permit joining and comparisons from disparate sources, and further analysis including ML processing.
Evermore is a technology company that administers Smart Benefits to connect people to products and services. They are backed by leading investors including General Catalyst, Define Ventures, Lightspeed Venture Partners, Pinegrove Capital Partners, and Qiming Venture Partners.
Design, build, and maintain databases that power Hologram's operations.
Build and maintain ETL pipelines that move and transform data reliably.
Audit existing pipelines and data models, identify complexity, and refactor bad decisions.
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. They process over 5 billion transactions per month across their global infrastructure and values a fun, upbeat, and remote-first team united by their mission.
Design, build, and maintain reliable ETL pipelines, integrating data from multiple sources into the Google Cloud Data Warehouse.
Own the product data structure, mapping product features and behaviors to analytics-ready data models, and define meaningful KPIs.
Act as the primary bridge between Backend Engineering and BI, owning the flow from data production to analytics consumption.
TuoTempo, part of the Docplanner group since 2019, develops the market-leading CRM solution dedicated to hospitals, medical centers, and health insurance providers. The platform manages and automates the entire patient journey, centralizing contacts, communications, and processes in a single modular system integrated with the software already used by organizations.