Own one or more client data workstreams end-to-end, from business rules to production pipelines and executive reporting.
Build and maintain pipelines and lakehouse layers in Microsoft Fabric, integrating ERP sources like SAP and Salesforce.
Design Power BI semantic models, validate data with client finance teams, and mentor junior engineers.
AmaliTech is a global consulting and technology services provider enabling businesses to scale digital capabilities and bridge tech talent gaps. With 500+ professionals globally, it blends consulting and technical skills to deliver digital solutions.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
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.
Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric.
Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Synapse Analytics, Fabric, and related technologies.
Work with project teams and clients to understand requirements and deliver effective solutions.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and AI. It has grown significantly since 2016, with teams in the US, Canada, and India and a culture based on craftsmanship and collaboration.
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.
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.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with major healthcare, life sciences, financial services, and government organizations worldwide, and we foster an innovative, dynamic team.
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 migration of legacy SQL Server and ADF pipelines to Databricks Lakehouse, designing Bronze, Silver, and Gold layers.
Build scalable ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows, optimizing for Power BI.
Establish governance, security, and cost optimization standards, including Unity Catalog and monitoring dashboards.
Tier One Technologies is a technology services provider delivering data engineering, cloud migration, and consulting solutions to US Government clients. The company fosters a collaborative, detail-oriented culture focused on technical excellence and knowledge transfer.
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, 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.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
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.
Lead migration of the data platform to a modern Databricks lakehouse built on dbt, replacing legacy systems.
Build ELT pipelines with Databricks, dbt, and Fivetran to deliver curated, AI-ready datasets.
Mentor engineers, set technical standards, and partner with data science and AI teams.
Buildertrend is a leading residential construction management platform that helps contractors control financials, schedules, workflows, and client relationships in one system. With nearly two decades of industry expertise, the company fosters a culture of work-life balance and personal growth.
Define Azure Databricks landing zone architecture, workspace topology, and Unity Catalog governance standards.
Implement secure lakehouse patterns for identity, networking, data protection, and audit logging.
Drive enablement through CI/CD pipelines, FinOps practices, and reusable accelerators for analytics teams.
Planned Systems International (PSI) is a technology solutions company that delivers enterprise data platforms, cloud infrastructure, and analytics services. With a focus on professional growth and inclusion, PSI offers competitive benefits, certification support, and a collaborative culture.
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 tune schemas, stored procedures, views, functions, and indexes for transactional and analytical data layers.
Build and maintain Databricks pipelines (PySpark/Spark SQL) and dbt models using Kimball dimensional modeling.
Implement data governance, quality checks, and sensitive data protection while mentoring mid-level developers.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across more than 25 countries, the company fosters a collaborative, diverse, and inclusive work environment focused on excellence.
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.
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.
Own the AI research data platform: ingestion, preprocessing, governance, and export of high-volume media data.
Scale Databricks lakehouse and distributed processing, making build-vs-buy decisions as data grows.
Build reusable synthetic data infrastructure and own pipeline reliability, observability, and cost.
Reality Defender detects deepfakes and AI-generated media for enterprises and governments using a patented multi-model platform. A lean, well-funded startup backed by top-tier investors, it protects against malicious AI content.