Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Identify, design, and implement internal process improvements to automate manual processes and optimize data delivery.
Collaborate with data and analytics experts to enhance functionality in data systems.
Develop ETL jobs using MSSQL, Snowflake, Talend, and other tools to move data from OLTP databases to the Data Lake.
GreenSky is a financial technology company that provides innovative lending solutions. The company fosters a culture of collaboration and data-driven decision-making.
Maintain and enhance data processes with focus on reliability, scalability, and performance optimization.
Design, optimize, and support large-scale data pipelines and transformation processes.
Drive modernization initiatives across the data platform and implement architectural improvements.
Sigma Software is a technology company delivering software development and cybersecurity solutions. They foster a supportive, people-focused culture with experienced international teams.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Own and continuously improve the systems for collecting job opportunities from thousands of companies.
Design scalable data architectures and operate reliable ETL/ELT pipelines.
Collaborate with product and AI/ML teams to enhance matching quality and data foundations.
Jobgether is building a job search platform for experienced professionals in the global remote job market. They aggregate and enrich job data from around the world. We are a fully remote, international team focused on accountability and outcomes.
Build and maintain Bronze-to-Gold pipelines in Databricks with Unity Catalog and metric views.
Extend automated data quality checks across gold-layer tables and validate against Power BI reports.
Establish documented pipelines, access models, and a working intake process for cross-department data requests.
CoreView empowers organizations to master Microsoft 365 complexity through robust security and governance. They serve over 23 million users worldwide and foster a collaborative, innovative culture.
Design and maintain data ingestion and transformation pipelines using dbt, SQL, and Python.
Develop semantic and analytical models in star/snowflake schemas and optimize query performance.
Collaborate with analysts and stakeholders to deliver trusted insights and support BI dashboards.
Oddin.gg builds a real-time data platform for esports analytics. The company fosters a collaborative, engineering-led culture with a strong focus on analytics and personal growth.
Gather and understand requirements for data migration and transformation.
Design, build, and maintain performant, resilient, and maintainable data pipelines.
Ensure data quality, integrity, and availability with upstream and downstream systems.
Zeal is an AI-enabled software consultancy for Fortune 1000 companies, now part of Livefront. They are a values-driven technology company grounded in kindness, generosity, and integrity.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Maintain and enhance existing data processes, ensuring reliability, performance, and scalability.
Build a full understanding of existing tables, flows, and jobs to identify improvement areas.
Drive system reliability and performance improvements across all data workflows.
The Customer provides comprehensive cybersecurity solutions to protect individuals, organizations, and communities. The company operates across various sectors, addressing vulnerabilities and ensuring protection against digital risks.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Design, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Support new and existing customers in their data engineering needs, guiding them to make optimal technical decisions.
Build and operationalize complex data solutions, including data governance, security, and quality.
Collaborate across teams to deliver data products and educate end users on analytic environments.
SunnyData is a high-growth consulting company specializing in data engineering and AI, dedicated to the Databricks platform. They foster a collaborative and innovative culture with a focus on customer impact and career growth.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.