Design, build, and operationalize data infrastructure powering analytics and business intelligence, including end-to-end data pipeline development and cloud migration.
Own DataOps practices including CI/CD, infrastructure-as-code, and platform reliability across multi-cloud environments in a regulated setting.
Manage data quality, governance, and platform operations, collaborating with compliance and cybersecurity teams in a cleared environment.
Lead the technical migration from legacy SQL Server to Databricks Lakehouse, ensuring best practice Lakehouse design.
Design robust ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows.
Enforce governance standards and implement data security using Unity Catalog.
We are an IT staffing and consulting firm that provides specialized engineers to government clients. Our culture emphasizes quality placements and technical excellence.
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.
Collaborate with cross-functional teams to design and deliver scalable data solutions for the Unified Data Platform on Azure Fabric.
Build and optimize data pipelines, ETL/ELT processes, and ensure data quality and compliance with HIPAA and governance standards.
Work directly with researchers to translate requirements into technical designs and contribute to the evaluation of emerging technologies.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate and prepare leaders for the future. It is a large academic institution with a collaborative culture focused on research, education, and community impact.
Define and govern scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems.
Partner with business stakeholders, data teams, and IT to translate requirements into technical blueprints and long-term platform roadmaps.
Drive platform cost optimization, performance tuning, and ensure compliance with security, confidentiality, and regulatory standards.
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. The company values diversity and innovation, has been recognized with awards for engineering excellence and work-life balance, and fosters an inclusive culture.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
Modernize legacy data platforms and optimize data pipelines for performance, scalability, and cost efficiency.
Implement data governance, data quality frameworks, and collaborate with stakeholders to enable analytics and reporting.
Tech Holding is a full-service consulting firm that delivers predictable outcomes and high-quality solutions to clients. Our founders and team members have deep industry experience from startups to Fortune 50 companies, guided by principles of expertise, integrity, transparency, and dependability.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Partner directly with enterprise customers to design, build, and scale data solutions that power business-critical applications.
Architect modern cloud-native data platforms using Databricks, ClickHouse, Python, and distributed processing frameworks.
Drive best practices in data governance, security, observability, and operational excellence across engineering teams.
Resilinc pioneers intelligent, autonomous systems for supply chain risk management, using agentic AI to help global enterprises predict disruptions and act in real time. The company is a fully remote, mission-led team with a collaborative culture, trusted by top companies in various industries.
Design and implement automated data discovery mechanisms and build ETL/ELT pipelines using SQL and Fabric.
Ensure data quality, implement transformations, and resolve pipeline issues.
Collaborate cross-functionally to improve pipeline performance and scalability.
Hyland is the pioneer of the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations. Trusted by thousands of organizations including the Fortune 100, Hyland has nearly 4,000 employees and fosters an inclusive, employee-centric culture.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Design, implement, and maintain secure data pipelines and ETL processes for mission-critical systems in AWS GovCloud environments.
Develop and optimize data models and schemas across relational and non-relational databases to support analytics and interoperability.
Collaborate with cross-functional teams to ensure data consistency, security, and integrity while adhering to DevSecOps practices.
DecisionPoint provides IT solutions and services, specializing in federal and defense modernization initiatives. We are an equal opportunity employer committed to diversity and inclusion, with a focus on secure and compliant operations.
Design, build, and maintain data pipelines and automation systems for cloud cost visibility and insights.
Implement scalable data models and ingestion frameworks to support large-scale telemetry and usage data.
Optimize data systems for performance, reliability, and cost-efficiency.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. The company partners with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Design and own architectural evolution of data pipelines and platform components using AWS and Snowflake.
Build and maintain robust ingestion pipelines with AWS DMS, AppFlow, and EventBridge.
Optimize analytics datasets in dbt Cloud with dimensional modeling and SCD Type 2 logic.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. It is a nearshore technology services company that empowers businesses to thrive in the digital landscape.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
Mentor engineers and define data governance, quality, security, and observability standards.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.
Design and maintain cloud data warehouse solutions using AWS services and dbt for scalable data transformation.
Build and optimize batch and near real-time ELT/ETL pipelines supporting enterprise data integration.
Partner with business and technical teams to deliver trusted datasets for reporting, analytics, and AI initiatives.
Modivcare is leading the transformation to better connect people with care, wherever they are, by facilitating non-emergency medical transportation and personal and home care. We serve the most underserved, with a focus on enabling greater access to care, reducing costs, and improving outcomes, and we value our team members with comprehensive benefits.
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.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.
Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
Build automated privacy processes and support data cleanup initiatives to maintain integrity.
Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.
Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.