Lead the foundational setup of new data environments.
Design, build, and manage scalable data pipelines.
Develop and maintain robust DBT data models to support semantic layer build-outs.
CompassX is a boutique business and technology consulting firm that helps Fortune 500 and high-growth clients deliver their most strategic initiatives through digital and data-driven projects. Recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, consultants value the freedom to shape their client work and maintain a direct line to leadership.
Design and evolve scalable data pipelines and architectures.
Act as the primary anchor for data ingestion, transformation, and storage solutions.
Ensure mission-critical data is accessible and reliable.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, their nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
Manage and mentor a high-performing team, fostering a culture of technical excellence.
Define the Data Engineering team vision, balancing immediate business needs with a long-term shift towards a self-service data mesh architecture.
Oversee the development of core data pipelines and platform tools, ensuring high performance for ingestion services.
UW provides utilities all in one place with one bill for energy, broadband, mobile and insurance, targeting savings for customers. They are aiming to double in size and are looking for people to help them achieve this goal through innovation and impact.
Design, build, and optimize scalable data lakes, warehouses, and data pipelines using Snowflake and modern cloud platforms.
Develop and maintain robust data models (ELT/ETL), ensuring clean, reliable, and well-documented datasets.
Design and manage end-to-end data pipelines that ingest, transform, and unify data from multiple systems.
Cobalt Service Partners is building the leading commercial access and security integration business in North America. Backed by Alpine Investors, with $15B+ in AUM, Cobalt has scaled rapidly since launch through acquisitions and is building a differentiated, data-driven platform.
Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
Architect workflows using DBT to convert raw data into actionable analytics.
Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.
Jobgether is a platform that connects job seekers with partner companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly.
Build and Maintain Bronze/Silver Layer Pipelines: ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. They value innovation and a collaborative environment.
Build and operate backend services and automation for the Snowflake data platform.
Support data ingestion pipelines (RDS/Oracle → Snowflake) and reverse ETL (Snowflake → RDS).
Develop and maintain Airflow (AWS MWAA) workflows for ingestion, data quality, and ops automation.
Upwork is the world’s work marketplace, serving everyone from one-person startups to over 30% of the Fortune 100. They provide a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential. Last year, more than $3.8 billion of work was done through Upwork.
Design and implement scalable system architectures for internal data and application platforms.
Build and maintain centralized data pipelines and reporting infrastructure.
Develop internal applications to improve data accessibility and user experience.
We are seeking a hands-on Technical Lead to strengthen our data reporting capabilities and enhance internal application user experiences. The ideal candidate brings deep experience in data engineering, system architecture, and production-grade application development.
Lead, mentor, and develop a high-performing data engineering squads delivering production-grade pipelines and services.
Set technical and operational standards for quality, documentation, and reliability.
Partner with Program Management to plan, prioritise, and track delivery against sprint goals.
Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, and everyday life. We combine data-driven content, rigorous experimentation, and modern engineering to power a portfolio of global products and partnerships.
Designing, building and maintaining data pipelines and data warehouses.
Developing ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
Helping to define automated solutions to solve complex problems around better understanding data, users, and the market
Neighborhoods.com provides real estate software platforms, including 55places.com and neighborhoods.com. They strive to foster an inclusive environment, comfortable for everyone, and will not tolerate harassment or discrimination of any kind.
Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams.
Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant.
Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows.
UW provides utilities all in one place, including energy, broadband, mobile, and insurance. They aim to double in size and offer savings to customers, fostering a culture that values imaginative and pragmatic problem-solvers.
Define and implement a scalable, enterprise-wide data architecture aligned with business and technology goals.
Oversee the design and evolution of data lakes, data warehouses, and cloud-based analytics platforms using Databricks, Snowflake, BigQuery, or Redshift.
Direct ETL/ELT strategies, ensuring seamless data flow across systems with Python, Apache Airflow, dbt, or Informatica.
Henry Schein is a Fortune 500 company that provides health care products, services, and solutions to office-based dental and medical practitioners. They serve over 1 million customers in 33 countries with over 300 valued solutions, with approximately 25,000 employees.
Design and implement data pipelines using Databricks, PySpark, and Delta Lake.
Work closely with business stakeholders and analysts to understand KPIs.
Model and structure data using dimensional modeling techniques.
Clear Tech specializes in Data, Analytics, and Artificial Intelligence, helping companies around the world transform their data into real business value. Our team combines highly skilled talent in Latin America with global best practices across cloud technologies and delivers end-to-end projects.
Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.
Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.
Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.
Ankura Consulting Group, LLC is an independent global expert services and advisory firm. They deliver services and end-to-end solutions to help clients at critical inflection points related to conflict, crisis, performance, risk, strategy, and transformation, and consists of more than 2000 professionals.
Build and develop a high-performing team through coaching, performance management, and career development.
Define technical strategy, standards, and best practices for data modeling, pipeline development, and data quality.
Partner with domain leaders to understand their data needs and translate them into technical roadmaps.
KOHO aims to improve financial services for Canadians by eliminating hidden fees and predatory interest rates. They provide financial products to help users spend smart, save more, and build wealth, fostering a performance-driven culture centered on financially empowering a generation of Canadians.
Build and maintain scalable data pipelines from ingestion through transformation and delivery.
Design, build, and maintain our data warehouse and data marts.
Partner with stakeholders to translate business needs into clean data models.
Gurobi Optimization focuses on mathematical optimization. They empower customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world's toughest and most impactful business problems.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.