<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><em><u>Client </u></em></strong>= Nationally Recognized Leader in the Travel & Leisure Industry</p><p><strong><em><u>Job Title</u></em></strong> = Data Engineer (mid and senior level candidates being considered)</p><p><strong><em><u>Location</u> </em></strong>= San Fernando Valley</p><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>
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>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>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Calabasas, CA (Fully Remote if outside 50 miles)</p><p> <strong>Compensation:</strong> $140K–$160K </p><p> <strong>Reports to:</strong> Director of Data Engineering</p><p>Our entertainment client is seeking a <strong>Senior Data Engineer</strong> to design, build, and optimize enterprise data pipelines and cloud infrastructure. This hands-on role focuses on implementing scalable data architectures, developing automation, and driving modern data engineering best practices across the company.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and maintain ELT/ETL pipelines in Snowflake, Databricks, and AWS.</li><li>Build and orchestrate workflows using Python, SQL, Airflow, and dbt.</li><li>Implement medallion/lakehouse architectures and event-driven pipelines.</li><li>Manage AWS services (Lambda, EC2, S3, Glue) and infrastructure-as-code (Terraform).</li><li>Optimize data performance, quality, and governance across systems.</li></ul><p>For immediate consideration, direct message Reid Gormly on Linkedin and Apply Now!</p>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p>Key Responsibilities</p><ul><li>Design, develop, and maintain end-to-end data pipelines using Azure-native services</li><li>Build and manage ETL/ELT workflows for structured and unstructured data</li><li>Develop and optimize data solutions using:</li><li>Azure Data Factory</li><li>Azure Synapse Analytics</li><li>Azure Data Lake Storage (ADLS Gen2)</li><li>Azure Databricks</li><li>Ensure data quality, reliability, security, and performance</li><li>Collaborate with data scientists, analysts, and business stakeholders</li><li>Implement data modeling strategies for analytics and reporting</li><li>Monitor, troubleshoot, and optimize data pipelines and workflows</li><li>Apply best practices for data governance, security, and compliance</li><li>Automate data processes using Python, SQL, and Spark</li><li>Support CI/CD pipelines and infrastructure-as-code where applicable</li></ul><p><br></p><p><br></p><p><br></p>
<p>We are looking for an experienced Senior Data Engineer to join our team. This role involves designing and implementing scalable data solutions, optimizing data workflows, and driving innovation in data architecture. The ideal candidate will possess strong leadership qualities and a passion for problem-solving in a fast-paced, cutting-edge environment.</p><p><br></p><p>Responsibilities:</p><p>• Develop high-performance data systems, including databases, APIs, and data integration pipelines, to support scalable solutions.</p><p>• Design and implement metadata-driven architectures and automate deployment processes using infrastructure-as-code principles.</p><p>• Promote best practices in software engineering, such as code reviews, testing, and continuous integration/delivery (CI/CD).</p><p>• Establish and maintain a robust data governance framework to ensure compliance and data integrity.</p><p>• Monitor processes and implement improvements, including query optimization, code refactoring, and efficiency enhancements.</p><p>• Leverage cloud platforms, particularly Azure and Databricks, to improve system architecture and scalability.</p><p>• Conduct data quality checks and build procedures to address and resolve data issues effectively.</p><p>• Create and maintain documentation for data architecture, standards, and best practices.</p><p>• Provide technical leadership to the team, guiding design discussions and fostering innovation in data infrastructure.</p><p>• Identify and implement opportunities for process optimization and automation to improve operational efficiency.</p>
<p>We are seeking a <strong>Senior Data Engineer</strong> to design, build, and optimize modern data solutions that enable analytics, reporting, and data-driven decision making. This role will focus heavily on <strong>Microsoft Fabric</strong>, <strong>Power BI</strong>, and <strong>SQL</strong>, working closely with stakeholders across analytics, engineering, and business teams.</p><p>You’ll play a key role in shaping data architecture, improving performance, and ensuring data reliability at scale.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain scalable data pipelines using <strong>Microsoft Fabric</strong></li><li>Develop and optimize <strong>SQL</strong> queries, views, and stored procedures for analytics and reporting</li><li>Model data using <strong>Lakehouse, Warehouse, and semantic models</strong> within Fabric</li><li>Support and enhance <strong>Power BI</strong> datasets, reports, dashboards, and data refresh strategies</li><li>Implement data transformation and ingestion processes (ETL / ELT)</li><li>Ensure data quality, consistency, governance, and security best practices</li><li>Collaborate with analysts and business stakeholders to translate requirements into technical solutions</li><li>Optimize performance across Fabric workloads, SQL engines, and Power BI models</li><li>Monitor and troubleshoot data pipelines and reporting issues</li><li>Mentor junior data engineers and contribute to data standards and best practices</li></ul><p><br></p>
<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>
<p>Robert Half is proactively recruiting Data Engineers for upcoming contract and contract-to-hire opportunities. These roles focus on building, maintaining, and optimizing data pipelines and data platforms that support analytics and business intelligence initiatives.</p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Integrate data from multiple internal and external sources</li><li>Optimize data performance, reliability, and quality</li><li>Partner with data analysts, BI teams, and stakeholders</li><li>Document data pipelines, models, and processes</li></ul>
<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>Our team is seeking an experienced Data Engineer to help architect, build, and optimize data infrastructure supporting enterprise decision making and advanced analytics. This position is ideal for hands-on professionals who excel in SQL, Python, and have proven expertise across enterprise cloud platforms, databases, and modern data engineering practices.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data pipelines that ingest, process, and transform structured and unstructured data.</li><li>Write advanced SQL queries—including complex joins, aggregations, window functions, and CTEs—to support ETL, data analysis, and migration projects.</li><li>Develop, optimize, and productionize Python scripts for data movement and validation using vanilla Python; familiarity with PySpark is a plus.</li><li>Collaborate across teams to deliver robust APIs and services for data integration with frontend (React, Angular, Vue) and backend (Node.js, Express) frameworks.</li><li>Architect and maintain data models and schemas, ensuring alignment with business requirements and efficient data retrieval.</li><li>Manage production-level SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) databases; ensure data quality through continuous monitoring and rigorous testing.</li><li>Deploy and manage automated ETL pipelines and schema migrations using Azure Data Factory, Microsoft Fabric, or comparable technologies.</li><li>Continuously improve performance through query optimization and efficient use of data structures (lists, dictionaries, sets) in Python.</li><li>Implement agile methodologies, continuous delivery, and DevOps best practices for reliable and scalable data infrastructure.</li><li>Enforce rigorous data quality management and automated testing strategies to ensure accuracy and reliability of data assets.</li></ul><p><br></p>
<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>
<p>We are looking for a skilled and innovative Data Engineer to join our team in Grove City, Ohio. In this role, you will be responsible for designing and implementing advanced data pipelines, ensuring the seamless integration and accessibility of data across various systems. As a key player in our analytics and data infrastructure efforts, you will contribute to building a robust and scalable data ecosystem to support AI and machine learning initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop scalable data pipelines to ingest, process, and transform data from multiple sources.</p><p>• Optimize data models to support analytics, forecasting, and AI/ML applications.</p><p>• Collaborate with internal teams and external partners to enhance data engineering capabilities.</p><p>• Implement and enforce data governance, security, and quality standards across hybrid cloud environments.</p><p>• Work closely with analytics and data science teams to ensure seamless data accessibility and integration.</p><p>• Develop and maintain data products and services to enable actionable insights.</p><p>• Troubleshoot and improve the performance of data workflows and storage systems.</p><p>• Align data systems across departments to create a unified and reliable data infrastructure.</p><p>• Support innovation by leveraging big data tools and frameworks such as Databricks and Spark.</p>
We are looking for a skilled Data Engineer to join our team in San Antonio, Texas. This role offers an opportunity to design, develop, and optimize data solutions that support business operations and strategic decision-making. The ideal candidate will possess a strong technical background, excellent problem-solving skills, and the ability to collaborate effectively across departments.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines using Azure Synapse Analytics, Microsoft Fabric, and Azure Data Factory.<br>• Implement advanced data modeling techniques and design scalable BI solutions that align with business objectives.<br>• Create and maintain dashboards and reports using Power BI, ensuring data accuracy and usability.<br>• Integrate data from various sources, including APIs and Dataverse, into Azure Data Lake Storage Gen2.<br>• Utilize tools like Delta Lake and Parquet to manage and structure data within a lakehouse architecture.<br>• Define and implement BI governance frameworks to ensure consistent data standards and practices.<br>• Collaborate with cross-functional teams such as Operations, Sales, Engineering, and Accounting to gather requirements and deliver actionable insights.<br>• Troubleshoot, document, and resolve data issues independently while driving continuous improvement initiatives.<br>• Lead or contribute to Agile/Scrum-based projects to deliver high-quality data solutions within deadlines.<br>• Stay updated on emerging technologies and trends to enhance data engineering practices.
