Design and implement data pipelines and build scalable reporting and analytics solutions on the Microsoft data platform.
Migrate legacy ETL workloads and architect data flows in Microsoft Fabric.
Write complex T-SQL queries and build Power BI reports with DAX, data modeling, and Power Query.
Software Mind is a team of engineers who provide project ramp-up services for top companies. They are a multicultural company with constant growth and an excellent work environment certified by Great Place To Work.
Design and implement modern data platforms and scalable data pipelines to enable better data-driven decisions.
Develop and maintain ETL/ELT pipelines using SQL, Spark/PySpark, and Microsoft Fabric or Databricks.
Work closely with data architects, BI developers, and customer stakeholders in an Agile environment.
Tieto, through MentorMate, creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. The company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design and deploy ML-based anomaly detection pipelines to flag data discrepancies early in the ETL process.
Build AI-assisted field mapping and classification tooling to accelerate schema mapping across data conversion cycles.
Develop automated data quality scoring pipelines and maintain lightweight AI tooling for staff to operate and extend.
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Since 1996, the company has delivered customized IT talent solutions to global clients across North America, serving industries like finance, healthcare, and government.
Design, build, and maintain data-processing automations including ETL, Power Platform solutions, and Azure services.
Develop and maintain data ingestion pipelines, BI reporting, and Power BI semantic models for scalable data operations.
Manage Azure resources, Power Platform environments, and ensure security and compliance across data workflows.
Beyondsoft is a mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor business solutions. With a global team of diverse experts across four continents, the company fosters a culture of collaboration, transparency, and accountability.
Assist TSD with data products by providing expertise on data engineering methods and best practices.
Design, implement, and maintain efficient data architecture and ELT/ETL pipelines in Azure Synapse and Azure Machine Learning.
Incorporate source control, quality controls, and documentation for all pipelines and data assets.
Integres, LLC is a Service-Disabled Veteran Owned Small Business providing IT solutions. They cultivate a corporate family culture emphasizing work/life balance and servant-leadership.
Own day-to-day operations of Azure SQL Managed Instance environments including performance monitoring and troubleshooting.
Monitor, triage, and restart Azure Data Factory pipeline runs and troubleshoot integration failures.
Design and implement automation solutions using PowerShell, Python, or Azure-native tools to eliminate manual work.
EverOps is a premier Embedded Service Provider that partners directly with customer engineering and operations teams to address delivery and service issues in the DevOps and DataOps space. They have a dynamic team in a U.S.-Based Virtual Operating Center, fostering empowerment and mentorship.
Execute data migration, quality improvement, and analytics-ready data preparation in Azure Government Cloud.
Design ETL/ELT processes, cleanse datasets, and validate migrated data through reconciliation checks.
Support data integration, governance, and documentation for modernization engagements.
TrueTandem is a trusted information technology solutions provider committed to the success of its customers, communities, and employees, delivering innovative, cost-effective solutions through technology implementation, integration, and optimization. The company is a 17-year Certified Small Business and Microsoft AI Cloud Solutions Partner serving well-known companies, nonprofits, and federal agencies across the United States.
Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance, and develop dbt workflows for partner analysis.
Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products and support machine learning initiatives.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge products and services. Since 2003, the company has grown to over 2 million users and is the number one rated futures brokerage worldwide, fostering a dynamic culture focused on social connection, professional development, and employee recognition.
Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
Build cloud-native solutions using Azure, Databricks, and big data technologies.
Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.
Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.
Lead complex data engineering workstreams across multiple business areas and source systems.
Define data engineering approaches aligning business needs with platform constraints and transformation patterns.
Guide the design of scalable ingestion, transformation, and serving patterns for cloud data platforms.
Valtech is an experience innovation company that helps brands unlock new value through digital transformation. With a global team, Valtech fosters a culture of creativity, diversity, and collaboration, driven by values of share, care, and dare.
Design and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics.
Collaborate with data scientists and analysts to deliver high-quality analytical data for decision-making.
Optimize data pipelines for scalability and performance while ensuring data accuracy and compliance.
Bluelight is a leading software consultancy focused on designing and developing innovative technology to improve users' lives. With a presence across the United States and Central/South America, the company values quality, customer satisfaction, and a collaborative culture where each team member can grow.
Architect the Operations Intelligence Warehouse, leading the cleanup and design of operational data in BigQuery.
Set data modeling standards with dbt, building dimensional models with testing, lineage, and version control.
Instrument the operation with dashboards and metrics for real-time visibility into throughput, cycle time, and yield.
Collective is on a mission to redefine the way businesses-of-one work, providing an integrated platform for business incorporation, accounting, bookkeeping, and tax services. Backed by General Catalyst, Sound Ventures, and other prominent investors, the company empowers self-employed individuals to achieve tax savings and financial independence.
Collaborate with U.S.-based clients to architect data solutions and translate requirements into technical specifications.
Design and build batch and real-time data pipelines, automate ETL processes, and ensure data accuracy and security.
Leverage advanced SQL, Python, and cloud data warehouse technologies to drive data-driven decision making for clients.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a global, collaborative culture focused on modernizing and competing in the digital era.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.