<p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>Our company is seeking a skilled Contract Data Engineer to support our technology team in Atlanta, GA. In this project-based role, you will design, build, and optimize data pipelines and architectures – essential for data collection, transformation, and analytics. Ideal candidates bring a hands-on background with either Azure or AWS platforms.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, construct, and maintain scalable cloud-based data pipelines using Azure or AWS services.</li><li>Collaborate with teams to gather technical requirements and implement data integrations.</li><li>Create and optimize ETL processes ensuring accessible and high-quality data for analysis.</li><li>Troubleshoot pipeline issues and perform data quality checks.</li><li>Manage large data sets in accordance with security and compliance standards.</li></ul>
We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
We are looking for a highly skilled Data Engineer to join our Decision Engine Team in Columbus, Ohio. This position focuses on developing and optimizing real-time customer engagement strategies by leveraging advanced data engineering techniques. As part of a collaborative team, you will play a critical role in creating and maintaining the infrastructure necessary to deliver personalized, data-driven messages across various customer channels. This is a long-term contract position offering the opportunity to work on cutting-edge technology and impactful projects.<br><br>Responsibilities:<br>• Develop, implement, and manage scalable data pipelines that support real-time decision-making and marketing initiatives.<br>• Collaborate with marketing, analytics, IT, and modeling teams to ensure seamless execution of customer messaging strategies across multiple channels.<br>• Conduct thorough testing and validation to ensure data accuracy, integrity, and reliability.<br>• Enhance and integrate decision engine platforms, including tools such as Adobe Campaign, Salesforce, and Unica Interact.<br>• Automate workflows and reporting processes using technologies like Python, Tableau, or cloud-based tools.<br>• Troubleshoot and resolve data-related issues in production environments to maintain system efficiency.<br>• Participate in the deployment of new features and upgrades to the decision engine software.<br>• Manage and catalog curated data assets to facilitate enterprise-wide reuse and governance.<br>• Provide guidance on best practices for data testing, quality assurance, and pipeline optimization.
We are looking for an experienced Senior Data Engineer to join our team in Northern Fulton County, Georgia. In this role, you will design, develop, and manage enterprise data solutions that power Beazer’s Data Analytics platform. You will play a key role in enabling data-driven decision-making by building scalable data architectures, reliable integrations, and impactful reporting solutions in close partnership with IT and business stakeholders. <br> Responsibilities: <br> • Design, develop, and manage end-to-end data engineering solutions that support enterprise analytics and reporting needs. • Build and maintain Lakehouse architectures using Microsoft Fabric and Databricks. • Develop robust ETL pipelines using SSIS and modern cloud-based integration patterns. • Create and optimize data models and database designs to support analytics, reporting, and BI use cases. • Develop and maintain Power BI reports, dashboards, and visualizations to support business insights. • Collaborate closely with IT teams and business stakeholders to deliver integration and reporting solutions aligned with organizational goals. • Ensure data quality, reliability, performance, and scalability across the analytics platform. • Provide ongoing support and enhancements to production data solutions. • Document data solutions and follow engineering and agile best practices. • Communicate effectively with technical and non-technical stakeholders to translate requirements into actionable data solutions.
<p>We are looking for a skilled Data Engineer to join a dynamic healthcare organization in the DFW area. In this role, you will play a pivotal part in transforming data operations by building foundational systems for predictive analytics and strategic insights. This position offers a unique opportunity to design and implement data solutions that directly impact clinical and financial decision-making processes.</p><p><br></p><p>Responsibilities:</p><p>• Develop and manage data pipelines and storage systems to ensure seamless reporting and data accessibility.</p><p>• Design forecasting models and predictive analytics to transform retrospective data into actionable insights.</p><p>• Create and maintain dashboards and visualizations that present clinical and financial performance metrics clearly and effectively.</p><p>• Collaborate with leadership to identify strategic metrics and deliver data-driven insights that influence organizational decisions.</p><p>• Act as the subject matter expert for data architecture and analytics, providing guidance and best practices.</p><p>• Implement and optimize ETL processes to streamline data integration and transformation.</p><p>• Utilize tools such as Apache Spark, Python, and Apache Hadoop to develop robust data solutions.</p><p>• Ensure data integrity and accuracy across all reporting and analytics platforms.</p><p>• Leverage BI platforms, with a preference for Power BI, to enhance data visualization and reporting.</p><p>• Monitor and troubleshoot data systems to maintain efficiency and performance.</p>
<p>Senior Data Engineer – </p><p><strong>Salary:</strong> Up to $170,000 (DOE)</p><p><br></p><p>About the Role</p><p>We are seeking a <strong>Senior Data Engineer</strong> to help design, build, and scale our financial systems. In this role, you will work on high-impact data platforms that power dynamic pricing, forecasting, and machine learning–driven decision-making. You’ll collaborate closely with data scientists, product teams, and business stakeholders to deliver reliable, real-time, and analytics-ready data solutions.</p><p><br></p><p>What You’ll Do</p><ul><li>Design, build, and maintain scalable data pipelines on <strong>Azure</strong>, supporting both batch and real-time workloads</li><li>Develop and optimize data processing using <strong>Python, Spark, and Spark SQL</strong></li><li>Build and manage solutions in <strong>Azure Databricks</strong>, including <strong>MLflow</strong> and <strong>model serving</strong></li><li>Create and orchestrate data workflows using <strong>Azure Synapse Analytics and Synapse Pipelines</strong></li><li>Support analytics and reporting needs through curated datasets for <strong>Power BI</strong></li><li>Enable real-time data ingestion and processing using <strong>Kafka, Azure Event Hubs, and Spark Streaming</strong> (where applicable)</li><li>Partner with data science teams to productionize <strong>machine learning models</strong>, particularly for <strong>dynamic pricing and revenue optimization</strong></li><li>Ensure data quality, reliability, performance, and scalability across platforms</li><li>Mentor junior engineers and contribute to data engineering best practices and standards</li></ul><p>For immediate consideration, apply now and message Reid Gormly on LinkedIN today!</p>
We are looking for a skilled Data Engineer to join our team on a contract basis in Roseville, Minnesota. In this role, you will be responsible for designing and implementing efficient data pipelines, ensuring seamless data processing and integration to support organizational goals. The ideal candidate will have expertise in Python programming, AWS services, and data transformation techniques.<br><br>Responsibilities:<br>• Develop and maintain efficient data pipelines for extraction, transformation, and storage.<br>• Create and manage APIs to facilitate seamless data access and integration across systems.<br>• Utilize AWS tools such as Lambda and S3 to design and implement scalable solutions.<br>• Perform data cleansing and transformation to ensure accuracy and usability for analytics.<br>• Write Python scripts to automate data extraction and processing workflows.<br>• Collaborate with various teams to gather data requirements and deliver tailored solutions.<br>• Maintain data quality and ensure compliance with security standards and organizational policies.<br>• Optimize data processes for performance and scalability.<br>• Provide technical guidance and support for data-related projects.
<p>Key Responsibilities</p><ul><li>Design, build, and maintain end-to-end data pipelines using Azure-native services</li><li>Develop and optimize ETL/ELT processes using Azure Data Factory, Databricks, and SQL</li><li>Create and manage data models for analytics and reporting use cases</li><li>Integrate data from ERP, CRM, operational systems, and external sources</li><li>Ensure data quality, reliability, and performance across data platforms</li><li>Implement data governance, security, and access controls</li><li>Monitor and troubleshoot pipeline failures and performance issues</li><li>Collaborate with BI teams, analysts, and business stakeholders to support reporting needs</li><li>Maintain technical documentation and data standards</li></ul><p><br></p><p><br></p>
<p>We are looking for an experienced Senior Data Engineer to join our team in Denver, Colorado. In this role, you will design and implement data solutions that drive business insights and operational efficiency. You will collaborate with cross-functional teams to manage data pipelines, optimize workflows, and ensure the integrity and security of data systems.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines to process and transform large datasets effectively.</p><p>• Advise on tools / technologies to implement. </p><p>• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.</p><p>• Design and implement ETL processes to facilitate seamless data integration.</p><p>• Optimize data workflows and ensure system performance meets organizational needs.</p><p>• Work with Apache Spark, Hadoop, and Kafka to build scalable data systems.</p><p>• Create and maintain SQL queries for data extraction and analysis.</p><p>• Ensure data security and integrity by adhering to best practices.</p><p>• Troubleshoot and resolve issues in data systems to minimize downtime.</p><p>• Provide technical guidance and mentorship to less experienced team members.</p><p>• Stay updated on emerging technologies to enhance data engineering practices.</p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Engineer (contract).</strong> In this role, you will support the continued growth of our technology and analytics capabilities. This role will focus on building, enhancing, and maintaining reliable data pipelines and infrastructure, ensuring high-quality data flows across the organization. This person will work closely with multiple teams to support data accessibility, performance, and scalability. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain robust data pipeline architectures.</li><li>Administer and configure enterprise pipeline orchestration tools (e.g., AWS Glue, Airflow, Fivetran).</li><li>Build and manage large, complex datasets to meet both technical and business requirements.</li><li>Identify opportunities to streamline internal processes, automate repetitive tasks, enhance data delivery, and scale data infrastructure.</li><li>Create systems and frameworks for efficient extraction, transformation, and loading of data from diverse sources using appropriate technologies.</li><li>Collaborate with stakeholders to troubleshoot data issues and support ongoing infrastructure needs.</li><li>Ensure data is protected and properly governed within the environment.</li><li>Partner with analytics teams to increase the usability and performance of data systems.</li><li>Develop and maintain processes for data transformation, metadata management, data dependencies, and workload optimization.</li><li>Maintain and evolve the organization’s data model.</li><li>Perform other related duties as assigned.</li></ul>
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
<p>Position Overview</p><p>We are seeking a Data Engineer Engineer to support and enhance a Databricks‑based data platform during its development phase. This role is focused on building reliable, scalable data solutions early in the lifecycle—not production firefighting.</p><p>The ideal candidate brings hands‑on experience with Databricks, PySpark, Python, and a working understanding of Azure cloud services. You will partner closely with Data Engineering teams to ensure pipelines, notebooks, and workflows are designed for long‑term scalability and production readiness.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop and enhance Databricks notebooks, jobs, and workflows</li><li>Write and optimize PySpark and Python code for distributed data processing</li><li>Assist in designing scalable and reliable data pipelines</li><li>Apply Spark performance best practices: partitioning, caching, joins, file sizing</li><li>Work with Delta Lake tables, schemas, and data models</li><li>Perform data validation and quality checks during development cycles</li><li>Support cluster configuration, sizing, and tuning for development workloads</li><li>Identify performance bottlenecks early and recommend improvements</li><li>Partner with Data Engineers to prepare solutions for future production rollout</li><li>Document development standards, patterns, and best practices</li></ul>
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a highly collaborative, hands-on team in West Hollywood. This is an on-site role for someone who enjoys building, owning, and evolving data platforms end-to-end. You’ll work closely with technical and non-technical stakeholders, take ownership of complex data challenges, and help drive cross-functional initiatives.</p><p>This role requires someone who is curious, independent, and comfortable rolling up their sleeves to solve foundational and ambiguous problems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data pipelines using Python and SQL</li><li>Develop and manage cloud-based data infrastructure (GCP, AWS, or Azure)</li><li>Own data orchestration workflows (Prefect preferred; Airflow or Dagster experience is transferable)</li><li>Implement robust data modeling practices (dbt preferred; strong SQL foundations required)</li><li>Reconcile multiple data sources and establish master data management strategies</li><li>Partner with stakeholders to define requirements, track deliverables, and run cross-functional projects</li><li>Support containerized workloads and data services using Docker and Kubernetes</li><li>Evaluate and integrate low-code or no-code data syncing tools where appropriate</li></ul><p>What We’re Looking For</p><ul><li>Someone who takes ownership and can be “pointed at a problem” and run with it</li><li>A builder who enjoys both strategy and execution</li><li>A strong data engineering foundation with curiosity about modern AI-enabled architectures</li></ul><p>If you’re excited about building resilient data systems, collaborating cross-functionally, and pushing into AI-enhanced data platforms—this role offers the opportunity to make a meaningful impact from day one.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
<p>We are seeking a skilled Database Engineer/BI Specialist to support the implementation and maintenance of a robust Data Depot environment.</p><p>Responsibilities:</p><p>• Lead the installation and technical launch of the Data Depot environment, ensuring a stable and scalable setup.</p><p>• Evaluate the current technical framework and staff capabilities to identify gaps and recommend improvements.</p><p>• Develop and deliver structured training sessions to enhance staff proficiency in database management, troubleshooting, and optimization.</p><p>• Provide mentorship on advanced topics such as Microsoft SQL Server performance tuning, SSAS tabular model design, and Power BI integration.</p><p>• Oversee the creation of standard operating procedures for dataflow monitoring, refresh processes, and system connectivity management.</p><p>• Establish automation and monitoring systems to ensure long-term operational sustainability.</p><p>• Document best practices and technical workflows to support ongoing maintenance and scalability.</p><p>• Facilitate hands-on knowledge transfer to ensure staff competency in managing and optimizing the Data Depot environment.</p><p>• Compile a final report outlining recommendations for sustaining the environment and addressing future challenges.</p>
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Columbus, Ohio. This role focuses on optimizing database performance, implementing efficient data solutions, and ensuring the reliability of data-driven processes. The ideal candidate will have a strong background in SQL Server and Azure SQL technologies, with a commitment to delivering high-quality, scalable solutions.<br><br>Responsibilities:<br>• Analyze and enhance stored procedures to improve database performance and efficiency.<br>• Develop and implement indexing strategies to optimize query execution.<br>• Collaborate with teams to refine reporting views and synchronize processes effectively.<br>• Conduct thorough code reviews to ensure adherence to quality standards and scalability.<br>• Utilize diagnostic tools to identify and resolve performance bottlenecks in SQL Server environments.<br>• Design and maintain reliable database solutions that meet organizational needs.<br>• Provide technical guidance and collaborate on troubleshooting efforts.<br>• Document processes and solutions to ensure clarity and future usability.<br>• Stay updated with advancements in SQL and Azure technologies to apply best practices.
<p>Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senior ETL Engineer - Position WEEKLY HYBRID position with major flexibility! FULL Microsoft On-Prem stack.</p><p><br></p><p>LOCATION : HYBRID WEEKLY in Des Moines. You must reside in the Des Moines area for weekly onsite . NO travel back and forth and not a remote position! If you live in Des Moines, eventually you can MOSTLY work remote!! This position has upside with training in Azure.</p><p><br></p><p>IMMEDIATE HIRE ! Solve real Business Problems.</p><p><br></p><p>Hands-On Technical SENIOR Microsoft Stack Data Engineer | SENIOR Data Warehouse Engineer / SENIOR Data Engineer / Senior ETL Developer / Azure Data Engineer / ( Direct Hire) who is looking to help modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD but FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting.</p><p><br></p><p>YOU WILL DOING ALL ASPECTS OF Data Engineering. Must have data warehouse & Data Lake skills. You will be in the technical weeds and technical data day to day BUT you could grow to the Technical Leader of this team. ETL skills like SSIS., working with disparate data. SSAS is a Plus! Fact and Dimension Data warehouse experience AND experience.</p><p>Hands-On Technical Hands-On Technical SENIOR Microsoft Stack Data Engineer / SENIOR Data Warehouse / SENIOR Data Engineer / Azure Data Factory Data Engineer This is a Permanent Direct Hire Hands-On Technical Manager of Data Engineering position with one of our clients in Des Moines up to 155K Plus bonus</p><p><br></p><p>PERKS: Bonus, 2 1/2 day weekends !</p>
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This role is based in West Des Moines, Iowa, and offers the opportunity to work on advanced data solutions that support organizational decision-making and efficiency. The ideal candidate will have expertise in relational databases, data cleansing, and modern data warehousing technologies.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support business operations and analytics.<br>• Perform data extraction, transformation, and cleansing to ensure accuracy and reliability.<br>• Collaborate with teams to design and implement data warehouses and data lakes.<br>• Utilize Microsoft SQL Server to build and manage relational database structures.<br>• Analyze data sources and provide recommendations for improving data quality and accessibility.<br>• Create and maintain documentation for data processes, pipelines, and system architecture.<br>• Implement best practices for data storage and retrieval to maximize efficiency.<br>• Troubleshoot and resolve issues related to data processing and integration.<br>• Stay updated on industry trends and emerging technologies to enhance data engineering solutions.
<p>IoT Edge AI Data Engineer </p><p>Job Posting: IoT Edge Data Engineer – Hi-TECH AI SaaS Company - Direct Hire FTE</p><p>LOCATION: Pittsburgh PA HYBRID IN PITTSBURGH PA </p><p>WORK AUTHORIZATION: F1 OR OPT CONSIDERED for the right candidate</p><p>***** APPLY TODAY IF YOU HAVE EDGE DEVICE IOT DATA ENGINEERING, INTERVIEWS NOW....OFFER IN JANUARY! </p><p>Are you passionate about powering real-time AI and analytics at the intersection of devices, data, and the cloud? Our fast-growing, innovative SaaS fast GTM fast growing, industry disruptor is seeking an experienced IoT Edge AI Data Engineer to architect and build the next generation of edge-to-cloud data pipelines supporting sensor-driven platforms. You’ll be working with cutting-edge edge hardware, including NVIDIA Jetson, and developing solutions that transform raw sensor data into powerful, ML-ready streams and data pipelines.</p><p>YOU MUST HAVE: Data cleansing, data ingestion, and data engineering dealing with disparate complex data sources and getting data OFF OF Edge devices!!! THIS IS NOT A data science / data engineering typical role, you must have the EDGE IoT device experience. </p><p>**** To be considered on this pioneering team to Carrie Danger, Robert Half Technology / SVP Permanent Placement and apply to this position.***</p><p>KEYS:</p><p>Design & implement high volume data ingestion pipelines for IoT systems, from device through on-prem infrastructure to cloud platforms.</p><p>Develop edge computing solutions leveraging platforms like NVIDIA Jetson for near-real-time data processing, orchestration, & distribution.</p><p>Build robust frameworks to clean, validate, and prepare sensor, telemetry, and machine data for downstream ML engineering teams.</p><p>Architect and software engineer, infrastructure for reliable edge-to-cloud connectivity and data workflows.</p><p>Looking for experience: using technologies such as MQTT, Kinesis, and related telemetry protocols.</p><p>You MUST HAVE on prem hardware device experience: Optimize on-prem and distributed data flows for scalable, resilient performance.</p><p>YOU NEED: </p><p>3–4+ years of data engineering experience—MUST designing and deploying device-to-cloud pipelines for IoT/edge environments.</p><p>Hands-on experience with edge hardware (e.g., NVIDIA Jetson) and low-level data engineering.</p><p>Proficient in cloud data services, streaming, and orchestration (AWS, Azure, GCP, Kinesis, MQTT, Kafka, etc.).</p><p>Data cleansing, data ingestion, and data engineering dealing with getting data OFF OF Edge devices!!!</p><p>MUST HAVE SKILLS: MQTT, Telemetry, Sensor Data, Data Pipeline, Edge Computing, On-Prem, Device to Cloud, Data Orchestration</p><p>Strong software engineering skills: Python, C++.</p><p>Deep knowledge of sensor/telemetry data and proven capability in building scalable data infrastructure for ML/AI use cases.</p><p>Experience with on-premises distributed systems & cloud integration. </p><p>Prior work with edge AI or industrial IoT, developing robust real-time data pipelines.</p><p>hardware/software integration</p><p>Direct Hire FTE direct hire position up to $135K, plus potential other incentives. For immediate & confidential consideration on this IoT Edge AI Data Engineer = Hybrid in the Pittsburgh PA or Des Moines Iowa Market, please call Carrie Danger, SVP at 515-259 6087, or apply via LinkedIn. </p>
<p>Robert Half is hiring a highly skilled and innovative Intelligent Automation Engineer to design, develop, and deploy advanced automation solutions using Microsoft Power Automate, Python, and AI technologies. This role is ideal for a hands-on technologist passionate about streamlining business processes, integrating systems, and applying cutting-edge AI to drive intelligent decision-making. This role is a hybrid position based in Philadelphia. For consideration, please apply directly. </p><p><br></p><p>Key Responsibilities</p><ul><li>Design and implement end-to-end automation workflows using Microsoft Power Automate (Cloud & Desktop).</li><li>Develop Python scripts and APIs to support automation, system integration, and data pipeline management.</li><li>Integrate Power Automate with Azure services (Logic Apps, Functions, AI Services, App Insights) and enterprise platforms such as SharePoint, Dynamics 365, and Microsoft Teams.</li><li>Apply Generative AI, LLMs, and Conversational AI to enhance automation with intelligent, context-aware interactions.</li><li>Leverage Agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Function Calling) to build dynamic, adaptive automation solutions.</li></ul>
We are looking for a skilled Data Engineer to join our team in Houston, Texas. As part of the Manufacturing industry, you will play a pivotal role in developing and maintaining data infrastructure critical to our operations. This is a long-term contract position that offers the opportunity to work on innovative projects and collaborate with a dynamic team.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines to support business operations and analytics.<br>• Develop, test, and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Utilize tools such as Apache Spark and Hadoop to manage and process large datasets.<br>• Integrate and optimize data streaming platforms like Apache Kafka.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Create and maintain documentation for data processes and systems.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.<br>• Ensure data security and compliance with industry standards and regulations.
<p>Quick moving contract to perm opening with hybrid in-office plus remote type schedule. Expectations would be in our client's Tampa office 2 to 3 days per week in mentoring Jr Data Engineer </p><p><br></p><p>If applying, please make sure you have at least 5 years experience in Power BI, ETL Development, Snowflake and Azure. If you have Sigma reporting that will be a huge plus as our client is going that direction with their reporting initiatives. Healthcare background also a strong preference to understand our client technical work flows. </p><p><br></p><p>We are seeking an experienced Senior Data Engineer with 5+ years of hands-on experience to join our dynamic Data Engineering team. In this role, you will design, build, and optimize scalable data pipelines and analytics solutions in a fast-paced healthcare environment. You will play a pivotal role in enabling real-time insights for healthcare stakeholders, ensuring data integrity, compliance with HIPAA and other regulations, and seamless integration across multi-cloud ecosystems.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>Architect and implement end-to-end ETL/ELT pipelines using Azure Data Factory, Snowflake, and other tools to ingest, transform, and load healthcare data (e.g., EHR, claims, patient demographics) from diverse sources.</p><p>Design and maintain scalable data warehouses in Snowflake, optimizing for performance, cost, and healthcare-specific querying needs.</p><p>Develop interactive dashboards and reports in Power BI to visualize key healthcare metrics, such as patient outcomes, readmission rates, and resource utilization.</p><p>Collaborate with cross-functional teams (data scientists, analysts, clinicians) to translate business requirements into robust data solutions compliant with HIPAA, GDPR, and HITRUST standards.</p><p>Lead data modeling efforts, including dimensional modeling for healthcare datasets, ensuring data quality, governance, and lineage.</p><p>Integrate Azure services (e.g., Synapse Analytics, Databricks, Blob Storage) to build secure, high-availability data platforms.</p><p>Mentor junior engineers, conduct code reviews, and drive best practices in CI/CD pipelines for data engineering workflows.</p><p>Troubleshoot and optimize data pipelines for performance in high-volume healthcare environments (e.g., processing millions of claims daily).</p><p>Stay ahead of industry trends in healthcare data analytics and contribute to strategic initiatives like AI/ML integration for predictive care models.</p><p><br></p><p><br></p><p><br></p>
