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280 results for Senior Big Data Engineer in Usa

Senior Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary
  • 56 - 65 USD / Hourly
  • <p><strong>Overview</strong></p><p>We are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.</p><p>The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering &amp; Migration</strong></p><ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul><p><strong>Development &amp; Infrastructure</strong></p><ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul><p><strong>Quality, Documentation &amp; Support</strong></p><ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul><p><br></p>
  • 2026-03-12T00:00:00Z
Senior Data Engineer
  • Playa Vista, CA
  • onsite
  • Permanent
  • 165000 - 200000 USD / Yearly
  • <p><strong>For immediate response please message Valerie Nielsen on LinkedIn or email!</strong></p><p><br></p><p><strong>Job Title:</strong> Senior Data Engineer</p><p> <strong>Location:</strong> Hybrid – Westwood (Los Angeles, CA) near University of California, Los Angeles</p><p> <strong>Compensation:</strong> $175,000 – $185,000 base salary + 10% annual bonus</p><p> <strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data team in <strong>Westwood, CA</strong>. This role will focus on designing and building scalable data pipelines, supporting analytics and reporting initiatives, and improving data infrastructure across the organization.</p><p>The ideal candidate is highly experienced with <strong>Snowflake, dbt, Python</strong>, and modern data pipeline architecture, and enjoys working closely with analytics and business teams to deliver reliable, high-quality data. Experience integrating data from CRM platforms such as <strong>Salesforce</strong> is a strong plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines</strong> supporting analytics, reporting, and operational data needs</li><li>Build and optimize data models and transformations using <strong>dbt</strong> within a <strong>Snowflake</strong> data warehouse environment</li><li>Develop robust ETL/ELT workflows using <strong>Python</strong> and modern data engineering best practices</li><li>Collaborate with analytics teams to deliver clean, reliable datasets used in <strong>Power BI</strong> dashboards and reporting</li><li>Ensure data quality, reliability, and performance across the data platform</li><li>Optimize Snowflake warehouse performance and manage cost-efficient data storage and compute usage</li><li>Integrate data from internal and external systems, including CRM and SaaS platforms</li><li>Partner with stakeholders across engineering, product, and business teams to define data requirements and solutions</li><li>Maintain documentation and promote data engineering standards and best practices</li></ul><p><br></p><p><br></p>
  • 2026-03-13T00:00:00Z
Senior Data Engineer
  • Houston, TX
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies.</p><p>Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.</p><p>Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems.</p><p>Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals.</p><p>Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data.</p><p>Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes.</p><p>Manage end-to-end data transitions to ensure operational continuity with minimal business disruption.</p><p>Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers.</p><p>Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions.</p><p>Establish and enforce data engineering best practices, development standards, and architectural guidelines.</p><p>Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities.</p><p>Provide technical direction, guidance, and mentorship to junior engineers and team members.</p><p>Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production.</p><p>Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations.</p><p>Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps</p>
  • 2026-03-01T00:00:00Z
Senior Data Engineer
  • Glendale, CA
  • onsite
  • Temporary
  • 80 - 87 USD / Hourly
  • <p>We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.</p><p>If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</li></ul><p><br></p>
  • 2026-03-05T00:00:00Z
Senior Data Engineer
  • Brentwood, NY
  • onsite
  • Permanent
  • 110000 - 140000 USD / Yearly
  • We are looking for a highly skilled Senior Data Engineer to join our team in Edgewood, New York. This role is ideal for someone who is detail oriented and has expertise in developing scalable data pipelines, modeling data structures, and optimizing data infrastructure for performance and reliability. The right candidate will play a key role in shaping our data engineering function and collaborating with cross-functional teams to deliver impactful solutions.<br><br>Responsibilities:<br>• Design and maintain efficient and scalable data pipelines to support various operational and commercial systems.<br>• Develop and manage modern data warehouse infrastructure using tools such as BigQuery and dbt.<br>• Integrate, transform, and organize data from multiple sources into structured, queryable formats.<br>• Create and manage logical and physical data models to enhance analytics and reporting capabilities.<br>• Collaborate with stakeholders to enable self-service reporting and build dashboards using platforms like Looker and Looker Studio.<br>• Implement best practices for data engineering, including testing, monitoring, and ensuring pipeline reliability.<br>• Optimize the performance, scalability, and cost-efficiency of data pipelines and warehouses.<br>• Partner with engineering, operations, and business teams to translate data needs into scalable solutions.<br>• Contribute to the improvement of engineering processes, coding standards, and documentation.<br>• Mentor team members and support onboarding as the team grows.
  • 2026-02-26T00:00:00Z
Senior Data Engineer
  • Boston, MA
  • onsite
  • Permanent
  • 150000 - 170000 USD / Yearly
  • <p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>
  • 2026-03-05T00:00:00Z
Senior Data Engineer
  • Woodbury, MN
  • onsite
  • Permanent
  • 140000 - 155000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions.<br><br>Responsibilities:<br>• Redesign and optimize complex business logic embedded in Postgres functions to improve functionality.<br>• Develop scalable database schemas and create data models that are optimized for analytics and AI applications.<br>• Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently.<br>• Build and maintain production-grade data pipelines from data ingestion to end-user consumption.<br>• Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines.<br>• Troubleshoot and resolve data-related and performance issues directly in production environments.<br>• Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
  • 2026-03-11T00:00:00Z
Senior Database Engineer
  • Salt Lake City, UT
  • remote
  • Contract / Temporary to Hire
  • 65 - 73 USD / Hourly
  • We are looking for a Senior Database Engineer to provide expert technical leadership for our global, cloud-based data infrastructure. This role involves designing, operating, and optimizing scalable, secure, and resilient database systems to support enterprise-scale workloads across AWS and Azure. As this is a Contract position with the possibility of becoming permanent, it offers an excellent opportunity to contribute to the development of cutting-edge database solutions while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and manage multi-region database architectures across AWS and Azure to support geo-distributed workloads.<br>• Architect and maintain relational, NoSQL, and document databases such as Snowflake, PostgreSQL, DynamoDB, Cosmos DB, and MongoDB.<br>• Lead hands-on database migrations between cloud platforms and legacy systems with a focus on scalability and reliability.<br>• Implement indexing strategies, optimize queries, and establish scaling patterns for handling large datasets and real-time applications.<br>• Enhance database performance to ensure high availability, low latency, and cost efficiency at an enterprise level.<br>• Support and refine data ingestion workflows and pipeline integrations using tools like AWS Glue, Step Functions, Lambda, and Azure Data Factory.<br>• Collaborate with Data Engineering teams to develop streaming solutions using Kafka, Kinesis, and AWS services.<br>• Apply robust security measures, including encryption, access controls, and secrets management, to protect database systems.<br>• Develop disaster recovery strategies and maintain backup solutions to ensure data integrity and availability.<br>• Monitor database systems using tools like CloudWatch, Azure Monitor, and Datadog, ensuring optimal reliability and performance.
  • 2026-03-13T00:00:00Z
Senior Database Engineer
  • Salt Lake City, UT
  • remote
  • Contract / Temporary to Hire
  • 77 - 83 USD / Hourly
  • We are looking for a Senior Database Engineer to take on a critical role in shaping the future of our global data platform. In this position, you will lead technical strategy, architect robust multi-cloud systems, and oversee initiatives to ensure reliability, scalability, and cost efficiency. You will have a hands-on approach, providing mentorship and collaborating with leadership to drive impactful technical decisions. This is a contract opportunity with the potential for a permanent position, located in Lehi, Utah.<br><br>Responsibilities:<br>• Develop and execute the technical roadmap for a scalable and reliable data infrastructure.<br>• Architect and implement multi-region, cross-account data platforms to support global operations.<br>• Establish and enforce engineering standards for database design, data pipelines, reliability, and observability.<br>• Lead post-incident reviews and implement solutions to prevent recurring issues.<br>• Collaborate with product and engineering teams to identify technical risks and optimize roadmaps.<br>• Design and oversee large-scale data migrations, ensuring fault tolerance and self-healing capabilities.<br>• Optimize database performance through indexing, query tuning, and capacity planning.<br>• Implement robust security measures, including encryption, secrets management, and access controls.<br>• Partner with cross-functional teams to align business requirements with technical solutions.<br>• Provide hands-on leadership in developing critical systems and resolving complex production incidents.
  • 2026-03-13T00:00:00Z
Senior Data Scientist
  • Boston, MA
  • remote
  • Permanent
  • 150000 - 160000 USD / Yearly
  • We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
  • 2026-03-10T00:00:00Z
Senior / Lead Database Engineer
  • Wayne, PA
  • onsite
  • Permanent
  • 140000 - 150000 USD / Yearly
  • The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
  • 2026-03-05T00:00:00Z
Senior Machine Learning Engineer
  • Boston, MA
  • remote
  • Permanent
  • 180000 - 200000 USD / Yearly
  • We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
  • 2026-03-10T00:00:00Z
Senior Machine Learning Engineer
  • Houston, TX
  • onsite
  • Permanent
  • 140000 - 175000 USD / Yearly
  • <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>&#128295; Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
  • 2026-02-15T00:00:00Z
Senior Data Engineer - Python
  • West Des Moines, IA
  • remote
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Senior Data Engineer with a strong background in Python and modern data engineering tools to join our team in West Des Moines, Iowa. This is a long-term contract position that requires expertise in designing, building, and optimizing data pipelines and working with cloud-based data warehouses. If you thrive in a collaborative environment and have a passion for transforming raw data into actionable insights, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, debug, and optimize Python-based data pipelines using frameworks such as Flask, Django, or FastAPI.<br>• Design and implement data transformations in a data warehouse using tools like dbt, ensuring high-quality analytics-ready datasets.<br>• Utilize Amazon Redshift and Snowflake for managing large-scale data storage and performing advanced querying and optimization.<br>• Automate data integration processes using platforms like Fivetran and orchestration tools such as Prefect or Airflow.<br>• Build reusable and maintainable data models to improve performance and scalability for analytics and reporting.<br>• Conduct data analysis and visualization leveraging Python libraries such as NumPy, Pandas, TensorFlow, and PyTorch.<br>• Manage version control for data engineering projects using Git and GitHub.<br>• Ensure data quality through automated testing and validation processes.<br>• Document workflows, code, and data transformations following best practices for readability and maintainability.<br>• Optimize cloud-based data warehouse and lake platforms for performance and integration of new data sources.
  • 2026-03-06T00:00:00Z
Senior Data Analyst
  • Charlotte, NC
  • onsite
  • Temporary
  • 36 - 44 USD / Hourly
  • <p>We’re partnering with a growing organization seeking a Senior Data Analyst to serve as the internal NetSuite subject matter expert and lead financial reporting and analytics initiatives.</p><p>This role sits at the intersection of Finance and Data, working closely with a collaborative finance team to elevate reporting, system optimization, and executive-level financial visibility. The ideal candidate will take ownership of NetSuite reporting architecture and build scalable dashboards in Microsoft Power BI that drive informed decision-making across the organization.</p><p><br></p><p>What You’ll Own:</p><p><strong>NetSuite Leadership</strong></p><ul><li>Serve as the internal NetSuite SME (Saved Searches, Suite Analytics Connect, system architecture)</li><li>Optimize reporting accuracy and improve overall system usage</li><li>Strengthen data governance and financial visibility</li><li>Support ongoing system enhancements and continuous improvement</li></ul><p><strong>Executive-Level Reporting</strong></p><ul><li>Build and scale Power BI dashboards connected directly to NetSuite (ODBC/API or data warehouse)</li><li>Develop advanced DAX measures and complex KPI calculations</li><li>Automate refreshes and manage workspace security</li><li>Create intuitive, drill-down dashboards for Finance and Operations</li></ul><p><strong>Advanced Analytics</strong></p><ul><li>Write complex SQL queries to unify disparate datasets</li><li>Deliver variance analysis and forecasting insights</li><li>Move reporting beyond descriptive analytics toward predictive insights</li></ul><p><strong>Stakeholder Collaboration</strong></p><ul><li>Partner closely with Finance and department leaders</li><li>Standardize data inputs for cleaner, more reliable reporting</li><li>Present actionable insights and recommendations to executive leadership</li></ul>
  • 2026-02-23T00:00:00Z
Senior Software Engineer
  • Playa Vista, CA
  • remote
  • Permanent
  • 160000 - 180000 USD / Yearly
  • <p><strong>Senior Software Engineer</strong></p><p> <strong>Location:</strong> Fully Remote (U.S. Based) Must be US citizen or Green Card Holder</p><p> <strong>Compensation:</strong> $170,000 Base Salary + Benefits</p><p><br></p><p>About the Company</p><p>Our client is a <strong>rapidly growing technology company focused on building scalable commerce platforms and integrations</strong> used by consumer brands and digital retailers. Their engineering team specializes in <strong>API-driven architecture, cloud-native development, and modern JavaScript frameworks</strong> to power high-performance ecommerce systems.</p><p>They are investing heavily in <strong>automation, cloud infrastructure, and scalable integrations with leading commerce platforms</strong>, and are looking for a <strong>Senior Software Engineer</strong> who can help design and build backend services that power these systems.</p><p><br></p><p>Role Overview</p><p>The <strong>Senior Software Engineer</strong> will design and build <strong>scalable backend services and integrations for modern ecommerce platforms</strong>, with a strong focus on <strong>API-driven architecture and serverless cloud environments</strong>.</p><p>This role is ideal for someone who enjoys working with <strong>Node.js, cloud infrastructure, and high-performance APIs</strong>, and who has experience integrating with commerce platforms like <strong>Shopify</strong>. You will collaborate closely with product, engineering, and infrastructure teams to build systems that are <strong>reliable, scalable, and optimized for performance</strong>.</p><p><br></p><p><br></p>
  • 2026-03-13T00:00:00Z
Senior Software Engineer
  • Gaithersburg, MD
  • onsite
  • Temporary
  • 88 - 93 USD / Hourly
  • <p>Robert Half is seeking a Senior Software Engineer with AI‑enabled development experience to support the modernization of a real-time, high-availability air traffic management platform. This role offers the opportunity to work on safety-critical systems that directly support national airspace operations in a collaborative, mission-driven environment.</p><p>You will contribute to the development and sustainment of complex software systems using both traditional systems engineering practices and AI‑augmented development techniques throughout the Software Development Life Cycle (SDLC).</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems</li><li>Apply AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation</li><li>Utilize AI responsibly across the full SDLC including:</li><li>Requirements analysis</li><li>System design</li><li>Implementation</li><li>Testing</li><li>Documentation</li><li>Code review</li><li>Analyze complex system requirements and translate them into efficient, maintainable software designs</li><li>Develop and maintain automation scripts across development, test, and production environments</li><li>Promote code quality, reuse, traceability, and cross-team collaboratio</li></ul>
  • 2026-03-10T00:00:00Z
Senior Software Engineer
  • Miami Beach, FL
  • onsite
  • Temporary
  • 60 - 70 USD / Hourly
  • <p>Join our company as a Full Stack Developer and play a pivotal role in delivering modern, scalable technology solutions. We seek a skilled programmer who excels in both backend and frontend development and thrives in a collaborative, fast-paced environment.</p><p>**Hybrid role, onsite weekly</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain backend services using C# and .NET Core, focusing on RESTful API design and robust system integrations.</li><li>Build intuitive front-end interfaces using JavaScript and frameworks such as React, Angular, or Vue to deliver exceptional UI/UX.</li><li>Enhance and support CI/CD pipelines with tools like Azure DevOps, GitHub Actions, Jenkins, streamlining our deployment and integration processes.</li><li>Learn and extend our internal homegrown automation platforms, aiming to optimize business processes.</li><li>Create impactful data dashboards and reports with Power BI for both internal and external stakeholders.</li><li>Collaborate with team members to implement technical solutions and continuously improve efficiency and reliability across environments.</li></ul><p><br></p>
  • 2026-03-14T00:00:00Z
Senior Software Engineer
  • Atlanta, GA
  • onsite
  • Permanent
  • 120000 - 140000 USD / Yearly
  • We are seeking a Senior Software Engineer – AI Solutions to help design and implement AI-driven capabilities within a experienced, enterprise SaaS environment. This is a hands-on role for a strong full-stack engineer with practical LLM experience who can contribute at both the architectural and implementation levels. <br> In this position, you will support the evolution of AI-enabled product features, integrate large language models into existing systems, and help move initiatives from concept through production deployment. You’ll contribute to system design discussions, apply sound AI development practices, and build scalable, maintainable services that align with established enterprise standards. <br> You will collaborate with a small, focused engineering team in a highly interactive environment and report directly to engineering leadership.
  • 2026-03-03T00:00:00Z
Sr. Data Engineer
  • Atlanta, GA
  • onsite
  • Permanent
  • 125000 - 135000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to join our team in Atlanta, Georgia. This role is ideal for someone with a strong background in data architecture, cloud platforms, and analytics tools. You will play a key role in designing, building, and optimizing data systems to support business operations and decision-making.<br><br>Responsibilities:<br>• Develop and maintain scalable data models and database designs to support business needs.<br>• Implement and manage data integration workflows using ETL processes and tools.<br>• Build and optimize data lakes and LakeHouse architectures on Azure platforms.<br>• Utilize Microsoft Fabric and Azure Databricks to create advanced data solutions.<br>• Design and develop dashboards and reports using Power BI to provide actionable insights.<br>• Ensure data governance by establishing policies, procedures, and standards for data use.<br>• Collaborate with cross-functional teams to align data strategies with organizational goals.<br>• Leverage Python and SQL for data analysis, transformation, and automation.<br>• Work with middleware solutions like MuleSoft for efficient data communication and integration.<br>• Stay updated on emerging technologies to continuously improve data engineering practices.
  • 2026-02-17T00:00:00Z
Sr. Data Engineer
  • Las Vegas, NV
  • onsite
  • Permanent
  • 120000 - 125000 USD / Yearly
  • We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration.<br><br>The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms.<br><br>Key Responsibilities<br><br>Design, build, and maintain data pipelines within Google Cloud Platform (GCP)<br><br>Develop event-driven data streaming solutions using Pub/Sub<br><br>Build and maintain Python-based services using Cloud Run<br><br>Develop and optimize BigQuery datasets and queries<br><br>Integrate new data sources into the enterprise data platform<br><br>Maintain and support existing ETL processes within SQL Server<br><br>Work with SSIS and stored procedures in legacy data environments<br><br>Monitor, troubleshoot, and optimize data pipeline performance<br><br>Collaborate with engineering teams to support data-driven initiatives<br><br>Participate in on-call rotations for production systems<br><br>Required Qualifications<br><br>5+ years of experience in Data Engineering<br><br>Strong experience with Google Cloud Platform (GCP)<br><br>Experience building data pipelines and ETL processes<br><br>Experience with Pub/Sub or event-driven data streaming<br><br>Strong experience with BigQuery<br><br>Proficiency in Python<br><br>Experience with Cloud Run or similar serverless services<br><br>Strong SQL experience including SQL Server<br><br>Experience with SSIS or similar ETL tools
  • 2026-03-06T00:00:00Z
Senior Database Developer
  • Eden Prairie, MN
  • remote
  • Permanent
  • 125000 - 145000 USD / Yearly
  • Position: SENIOR DATABASE DEVELOPER - ENTERPRISE DIGITAL TEAM<br>Location: REMOTE<br>Salary: UP TO $145,000 BASE + BENEFITS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>About the Role:<br>Join a newly launched Enterprise Digital team building cloud-native, mobile-first solutions from the ground up. You’ll lead database performance, optimization, and migration to modern cloud platforms for mission-critical systems.<br><br>Key Responsibilities:<br> • Optimize SQL queries, indexes, and configurations for performance.<br> • Ensure security, reliability, and scalability of enterprise databases.<br> • Automate administrative tasks using Python, PowerShell, and modern tools.<br> • Drive migration from legacy systems to cloud-native databases (AWS, GCP, Azure).<br> • Collaborate with engineering teams and mentor junior team members.<br>Requirements:<br> • 10+ years with MSSQL, Postgres, Oracle (any and all)<br> • 5+ years with cloud-native database technologies.<br> • Experience with replication, availability groups, and log shipping.<br> • Strong analytical and troubleshooting skills.<br>Nice to Have:<br> • Knowledge of real estate systems, PowerBI, Crystal Reports.<br>Why Join:<br> • Ground-floor opportunity in a fast-growing digital team.<br> • Influence architecture and technology decisions.<br> <br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
  • 2026-02-15T00:00:00Z
Lead Data Architect/ Senior Data Modeler
  • Glendale, CA
  • onsite
  • Temporary
  • 90 - 100 USD / Hourly
  • <p><strong>Lead Data Architect / Senior Data Modeler</strong></p><p><strong>Location:</strong> Onsite in Burbank, CA (4 days/week, Mon–Thu)</p><p><strong>Team:</strong> Studio Technology – Data Services</p><p><br></p><p><strong>About the Role</strong></p><p>The Studio Technology group at Walt Disney Studios empowers filmmakers, analysts, and business partners with scalable, secure, and innovative data solutions. As part of the Data Services team, you will shape how the Studio builds, organizes, and delivers data — from financial systems to marketing analytics to consumer engagement products.</p><p>We are looking for a Lead Data Architect whose primary passion is data modeling and data architecture, not software architecture. This person lives and breathes semantic models, dimensional design, medallion-layer structuring, and data-as-a-product principles. The ideal candidate is doing this work hands-on today and has done it consistently in recent roles — this is their core craft, not an adjacent skill.</p><p><br></p><p><strong>What You’ll Do (Day-to-Day)</strong></p><p>● Partner with business stakeholders and product managers to understand data requirements and translate them into scalable data strategies and architecture.</p><p>● Design and own semantic models, dimensional models, entity definitions, and medallion-layer data structures (Bronze/Silver/Gold).</p><p>● Determine what gets built where and why, ensuring consistent modeling patterns across projects and data domains.</p><p>● Define and implement data-as-a-product approaches, including domain boundaries, ownership models, SLAs, and documentation standards.</p><p>● Work closely with data engineers to guide how assets should be built, structured, and optimized.</p><p>● Establish and maintain data standards, governance practices, naming conventions, and documentation for modeling and architecture.</p><p>● Provide technical leadership on data modeling best practices across teams, including coaching junior members.</p><p>● Evaluate modern data technologies and recommend tools that improve modeling consistency, performance, and quality.</p><p>● Collaborate with analytics, BI, and data science teams to design models that support reporting, ML/AI workloads, and cross-domain analytics.</p>
  • 2026-02-27T00:00:00Z
Senior Fullstack Software Engineer
  • New York, NY
  • onsite
  • Permanent
  • 150000 - 250000 USD / Yearly
  • We are looking for an experienced Senior Fullstack Software Engineer to join our dynamic team in New York, New York. In this role, you will be responsible for designing, building, and maintaining high-performance transactional systems that power commercial products and services. If you&#39;re passionate about developing scalable software solutions and thrive in a collaborative environment, we encourage you to apply.<br><br>Responsibilities:<br>• Develop and manage robust transactional systems across the full stack, ensuring performance and reliability.<br>• Design, implement, and maintain both back-end and front-end software components using Node.js, TypeScript, and React.<br>• Collaborate closely with team members to deliver high-quality products efficiently.<br>• Build scalable, real-time systems leveraging cloud infrastructure.<br>• Debug and resolve complex technical issues to ensure system reliability, recovery, and scalability.<br>• Participate in the full software development lifecycle, from initial design through coding, testing, and deployment.<br>• Stay informed about emerging industry trends and technologies to enhance system performance.<br>• Optimize high-volume services by benchmarking and fine-tuning performance.<br>• Utilize WebSockets and other real-time data transport technologies to support system functionality.
  • 2026-03-12T00:00:00Z
Senior BI Developer
  • Glendale, CA
  • onsite
  • Temporary
  • 73 - 80 USD / Hourly
  • <p>As part of the Analytics &amp; Insights team, this senior‑level engineer will build and maintain data models, visualizations, dashboards, and custom web applications that support Studio operational teams and Studio Executives. This is a highly technical, hands‑on role requiring deep expertise across Power BI, data engineering, modern cloud data platforms, and front‑end reporting frameworks.</p><p>The ideal candidate is a self‑starter who can take initiative, drive technical solutions independently, and solve complex problems with minimal guidance. This role also works in an agile environment and leverages AI‑assisted development tools to accelerate delivery.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards, data models, semantic layers, and advanced DAX/Power Query logic.</li><li>Migrate and modernize existing Power BI dashboards into a React‑based reporting framework.</li><li>Build and maintain custom web applications using React and TypeScript.</li><li>Create and optimize ETL/ELT pipelines using Databricks (primary) and Snowflake (secondary).</li><li>Work extensively with SQL, Python, and data warehousing architectures including medallion/lakehouse patterns.</li><li>Author, diagnose, and modify Postgres objects (views, functions, stored procedures).</li><li>Use AI‑assisted coding tools (e.g., Cursor, Claude Code) for prototyping, documentation, and dev acceleration while meeting code quality standards.</li><li>Translate business requirements into technical specifications for dashboards, data models, and applications.</li><li>Collaborate with architects and technical leads to implement new standards and drive the studio’s data strategy forward.</li><li>Work effectively with both onsite and remote team members.</li></ul>
  • 2026-03-11T00:00:00Z
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