Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.
Design and own architectural evolution of data pipelines and platform components using AWS and Snowflake.
Build and maintain robust ingestion pipelines with AWS DMS, AppFlow, and EventBridge.
Optimize analytics datasets in dbt Cloud with dimensional modeling and SCD Type 2 logic.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. It is a nearshore technology services company that empowers businesses to thrive in the digital landscape.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
Modernize legacy data platforms and optimize data pipelines for performance, scalability, and cost efficiency.
Implement data governance, data quality frameworks, and collaborate with stakeholders to enable analytics and reporting.
Tech Holding is a full-service consulting firm that delivers predictable outcomes and high-quality solutions to clients. Our founders and team members have deep industry experience from startups to Fortune 50 companies, guided by principles of expertise, integrity, transparency, and dependability.
Design and develop data pipelines, marts, and schemas to support warehousing and analytics.
Build and optimize ETL/ELT processes using AWS Glue, Airflow, and Python.
Troubleshoot and resolve production data issues while mentoring other data engineers.
Versant is an industry-changing media and entertainment business, home to brands like CNBC, USA Network, and Fandango. It employs over 50 million users across its platforms and fosters a culture of innovation and collaboration.
Design and migrate scalable data solutions using modern cloud technologies like AWS and Data Mesh.
Convert Alteryx workflows to AWS-native architectures such as AWS Glue and improve performance.
Build and maintain reliable data pipelines using distributed processing tools like Spark and Airflow.
The partner company provides data engineering and cloud solutions aimed at helping organizations modernize their data platforms. They are a collaborative team of technology professionals focused on innovation and scalable architectures.
Own the design, delivery, and operation of major data products including ETL pipelines and storage solutions.
Partner with engineering, product, and business stakeholders to define solutions and drive projects from design to production.
Mentor engineers, lead technical strategy, and participate in on-call rotation for production systems.
Lime is the largest global shared micromobility company, on a mission to make transportation shared, affordable, and carbon-free. It has powered over one billion rides across 30 countries and is a Time 100 Most Influential Company.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
Design, build, and maintain end-to-end data pipelines and scalable data architectures using AWS technologies.
Build and optimize ETL processes that transform raw data into structured, analytics-ready datasets.
Partner with AI infrastructure engineers and cross-functional stakeholders to improve data reliability and operational efficiency.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a global community of employees.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
Implement data transformations and integrations using Python and Java.
Capital Technology Group provides expert consulting services in software development, digital transformation, human-centered design, data analytics, and cybersecurity. Recognized as a Top Workplace, CTG fosters a culture of trust, empowerment, and professional growth.
Build and optimize cloud-native data pipelines on AWS using AI tooling as a standard part of the workflow.
Design and evolve data models for analytics, operational use cases, and AI/ML across thousands of studios.
Partner with product and engineering teams to turn ambiguous business problems into robust data solutions.
Sport Alliance builds the data platform behind Magicline and Finion, serving thousands of gyms and over 10 million members. The company fosters an AI-first culture with a focus on data reliability and innovative engineering.
Designs and implements scalable data ingestion pipelines using AWS services.
Builds APIs and file upload mechanisms for client data ingestion.
Optimizes ETL/ELT processes for performance and reliability.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company offers award-winning software solutions with a focus on client success and a commitment to diversity and inclusion.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.