Design, develop, and maintain data pipelines and warehouses for business intelligence.
Collaborate with technical users and stakeholders to define data requirements and deliver accurate insights.
Use Python, AWS, and ETL tools to automate, monitor, and optimize data integration jobs.
TaskUs provides outsourced digital services and next-generation customer experience to fast-growing technology companies. With approximately 60,000 employees globally, TaskUs has a People First culture and operates in twenty-three locations across twelve countries.
Design, build, and maintain scalable data pipelines for analytics, ML models, and business reporting.
Collaborate with data scientists and analysts to ensure data is clean, available, and optimized for downstream use.
Implement ETL/ELT workflows, integrate multiple data sources, and monitor pipeline performance and reliability.
Soum is building a re-commerce marketplace for the MENA region, making buying and selling second-hand products seamless and reliable. Since our launch in July 2021, we've become one of the fastest-growing startups in the region and were named a Top 10 LinkedIn Startup in Saudi Arabia for 2024.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Design, build, and maintain reliable data pipelines and platforms for ICA, a trusted advisor to federal agencies.
Transform structured and unstructured data into dependable datasets for analytics, applications, and AI initiatives.
Collaborate with data scientists, analysts, and software engineers using Python, SQL, and AWS.
ICA assists government clients with evaluating and achieving objectives through research, data analysis, advanced data science, and strategic services. It is a small, rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
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.
Build and maintain scalable ETL/ELT data pipelines for Microsoft SQL Server and PostgreSQL.
Support AI data preparation workflows including document ingestion and embeddings for RAG systems.
Orchestrate data jobs using Airflow, Azure Data Factory, and SQL Server Agent.
CodeRoad is a technology execution partner that engineers, modernizes, and scales technology for North American companies since 2002. They offer a collaborative, high-trust environment with long-term opportunities and engineering autonomy.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
Design, build, and maintain scalable ELT/ETL data pipelines and dimensional models for analytics.
Write optimized SQL and Python for data exploration, reporting, and troubleshooting.
Monitor data deliveries, implement quality checks, and collaborate with engineering and business stakeholders.
Troveo builds a data platform for AI labs and model builders, providing the world's largest licensed dataset of proprietary video, audio, text, and business workflow data. Backed by top investors, it's a small, high-impact team focused on solving bottlenecks in AI development with a high-trust, low-ego culture.
Design, build, and maintain scalable data pipelines and centralized repositories for reliable analytics.
Perform advanced data profiling, validation, and root cause analysis to ensure data quality.
Mentor junior engineers and collaborate across teams to modernize data infrastructure and processes.
Brown University Health is Rhode Island's largest health system and private employer, comprising hospitals and behavioral health providers. With over 20,000 staff, it fosters a collaborative culture centered on compassion, accountability, respect, and excellence.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Monitor data pipelines for quality, performance, and reliability.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions and enterprise-grade SBOM management. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million developers, rely on Sonatype, and the company values clarity, learning, and autonomy.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.
Design, build, and maintain robust data pipelines that ingest and normalize security data from 120+ sources.
Operate and improve the attribution layer by implementing entity resolution and ownership rules as version-controlled code.
Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.
Cisco designs and sells networking, security, and collaboration technologies that power the digital world. With a global team of doers and experts, we foster a collaborative culture that values empathy, innovation, and large-scale impact.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Build, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.
Design, build, and maintain reliable data ingestion pipelines connecting enterprise systems like Banner/Ellucian ERP.
Develop scalable data transformations using medallion architecture, Databricks, Delta Lake, Python, and SQL.
Collaborate with analysts and stakeholders to design data models and trusted data products for institutional decision-making.
University of Idaho is Idaho's flagship land-grant research university and an R1 institution recognized for high research activity. With a mission centered on education, discovery, and service, it is transforming its data infrastructure to support analytics and AI across the institution.
Design, develop, and optimize cloud-based data solutions on Snowflake to transform raw data into actionable insights.
Build and maintain ETL/ELT pipelines, integrating data from multiple enterprise sources into centralized cloud platforms.
Collaborate with technical teams to ensure data quality, scalability, and performance across cloud data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through an objective, fair review process. It specializes in remote and contract opportunities, supporting a collaborative and data-driven culture.
Own end-to-end delivery of complex data pipelines and integrations, from source onboarding to operational handoff.
Design and maintain dbt models that transform raw data into curated, tested, and consumption-ready datasets.
Ensure pipeline reliability through monitoring, alerting, and root-cause analysis that drives preventative fixes.
Great Minds is a mission-driven Public Benefit Corporation founded by educators in 2007, developing research-based math, science, and ELA curricula trusted by schools nationwide. The organization is high-growth and collaborative, committed to supporting educators and students with meaningful content and responsive service.
Build and maintain ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
Support data models and transformations aligned with healthcare standards like HL7, FHIR, and X12, while contributing to data quality checks and validation.
Work with analysts and business users to translate data requirements into technical tasks and maintain documentation for data governance.
Curana Health is a national leader in value-based care, providing senior living communities and skilled nursing facilities with solutions like on-site primary care, Accountable Care Organizations, and Medicare Advantage Special Needs Plans. Founded in 2021, the company has grown to serve 200,000+ seniors across 1,500+ communities in 32 states, with a team of over 1,000 clinicians and professionals ranked #147 on the Inc. 5000 list.
Design scalable data models and reliable pipelines to turn complex real estate information into actionable insights.
Collaborate with Data Science and Product teams to deliver customer-facing data products for rental operations.
Set engineering standards, influence architecture, and drive data reliability within a quality-focused team.
An innovative AI-native technology company transforming how businesses buy, manage, and sell single-family rental properties through high-quality market intelligence. It is a small, quality-focused engineering team that values technical leadership, ownership, and collaboration.