Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Design and deliver data engineering solutions, including data lakehouse buildouts and cloud migrations, for EMEA and US customers.
Lead small delivery teams, mentor junior engineers, and support pre-sales processes to compound impact across the organization.
Work with Apache Spark/Databricks on AWS/Azure, manage customer relationships, and communicate technical concepts to non-technical audiences.
DATAPAO is a data engineering and cloud migration consultancy that helps customers solve complex data puzzles. The company emphasizes a high-transparency culture, open feedback, and a strong community, with a focus on innovation and impact.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
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.
Architect the Data Platform by designing internal SDKs and self-service frameworks for distributed engineering teams.
Own platform performance, optimizing the Databricks ecosystem for cost-effectiveness and scalability.
Drive data contracts and governance, implementing schema validation and security standards across the global ecosystem.
G-P offers a SaaS-based Global Employment Platform that enables companies to expand into over 180 countries quickly and efficiently. The company fosters a diverse, remote-first culture where innovation thrives and every contribution is valued.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Develop and optimize data processing and analytics solutions using Python and Databricks.
Manage relational databases (Oracle Exadata) and non-relational S3-based systems.
Design and optimize data consolidation and transformation processes for large-scale information.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants across 21 countries and a turnover of €850M, we deliver impactful, future-ready solutions.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.