Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making.
Design, implement, and optimize scalable ELT pipelines and data processing solutions, ensuring reliability, performance, and maintainability.
Drive technical decisions related to data architecture, platform evolution, data modeling approaches, and integration patterns.
Sigma Software is building a scalable, reliable, and secure corporate Data Platform to power analytics and decision-making across the company. The company supports professional growth, knowledge sharing, and modern tools for high-quality solutions.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
Data-Driven Culture: You will be an ambassador for our data-driven culture, shaping data to facilitate analysis and decision-making.
Data Management: You will ingest, clean, and organize raw data for team use.
Project Management: You will lead data projects from ingestion to reporting, handling ambiguity.
Super.com helps maximize lives by offering travel and financial products. As a fast-paced, high-growth tech company, we prioritize employee growth and career progression.
Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they accelerate innovation and collaborate to build impactful solutions.
Extract, clean, transform, and store data required for use cases.
Design and manage data integration pipelines, developing high-quality ETLs and advanced analytics tools.
Monitor pipeline stability, run quality controls, and optimize costs, performance, and data security.
Redbee is a technology company with over 14 years of experience redefining how digital products are built in the financial industry. They co-create innovative solutions with clients, focusing on delivering fast, quality value through scalable and strategic products.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Design, implement, and maintain ETL/ELT pipelines for clean, scalable data flows across multiple systems.
Own data warehouse architecture, including partitioning, access controls, and security in partnership with Security and Infrastructure teams.
Champion data quality and governance, building dashboards and analytics to deliver actionable insights for leadership and cross-functional teams.
CertifID protects life's largest transactions from fraud, helping title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. They are a growth-minded team passionate about securing sensitive data and transforming fraud prevention.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Build and optimize large-scale ETL pipelines and data infrastructure for marketing operations.
Design and develop automated dashboards and reports using BI tools to enable data-driven decisions.
Write and optimize complex SQL queries to extract and analyze large datasets from multiple sources.
itD is a consulting and software development company that blends diversity, innovation, and integrity with real business results. We are a woman- and minority-led firm with a flat hierarchy, empowering employees to deliver excellent results.
Partner with stakeholders to understand analytics needs and translate them into technical documentation.
Build and optimize SQL queries and scalable data pipelines for end-user analytics.
Design and deploy cloud data warehousing solutions using Snowflake.
Prometeo Talent is a global IT service company based in Uruguay, providing staffing and delivery team services. They were recognized by Clutch as one of the best B2B development companies in Latin America and value collaborative, curious, results-driven individuals.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.