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.
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.
Design end-to-end data pipelines to collect, process, transform, and load data into cloud environments.
Lead and mentor a team of data engineers while collaborating with client stakeholders on data requirements.
Build and optimize ETL processes to ensure data quality, integrity, and actionable insights.
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers who love solving hard problems. They believe the right data can transform and propel growth for any organization.
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.
Assess clients' data landscapes and design target-state architectures for cloud, hybrid, and on-prem environments.
Design lakehouse, warehouse, and data lake solutions including ETL/ELT, CDC, streaming, and API integrations.
Act as technical authority for delivery teams and support presales with discovery workshops and PoCs.
Software Mind builds impactful software solutions for global companies and tech unicorns. The culture is open, respectful, and collaborative, with cross-functional teams that take ownership and creativity.
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.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
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 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.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.
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 and implement Bronze, Silver, and Gold Delta tables on Microsoft Fabric with PAN-safe physical layouts.
Build Fabric Spark feature pipelines and idempotent MERGE DAGs for canonical Silver and risk-specific Gold tables.
Partner with senior engineers on capacity sizing, IaC, and Direct Lake semantic model performance.
Software Mind develops software solutions that make an impact for global companies, from tech giants to unicorns. The culture embraces openness, respect, grit, and combines cooperation with enjoyment.
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.
Own relational and lakehouse data for a higher-education platform's program, student, and enrollment data.
Design schemas, stored procedures, and performance tuning across SQL Server and Databricks.
Implement data governance with Unity Catalog, quality checks, and CI/CD for database changes.
CI&T helps large enterprises turn AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
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.
Build and maintain ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
Support data models and transformations aligned with healthcare standards like HL7, FHIR, and X12, while contributing to data quality checks and validation.
Work with analysts and business users to translate data requirements into technical tasks and maintain documentation for data governance.
Curana Health is a national leader in value-based care, providing senior living communities and skilled nursing facilities with solutions like on-site primary care, Accountable Care Organizations, and Medicare Advantage Special Needs Plans. Founded in 2021, the company has grown to serve 200,000+ seniors across 1,500+ communities in 32 states, with a team of over 1,000 clinicians and professionals ranked #147 on the Inc. 5000 list.
Design and build production-grade analytical data models using dbt and Databricks, focusing on scalable Gold-layer architectures.
Develop semantic models and reusable data products that provide consistent metrics for consumption through Tableau and other BI tools.
Automate data workflows with Python and SQL, applying software engineering practices like Git and CI/CD.
NationsBenefits is a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions for managed care organizations. The company is recognized as one of the fastest-growing in America, with a collaborative culture and offices in the US, South America, and India.
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.