<p><br></p><ul><li>Design and implement scalable data architectures using Azure services, especially Azure Data Factory</li><li>Build, deploy, and maintain data pipelines for structured and unstructured data</li><li>Lead the integration of Microsoft Fabric into enterprise data solutions</li><li>Collaborate with data scientists to operationalize AI/ML models and embed them into business processes</li><li>Ensure data governance, security, and best practices across the entire data lifecycle</li><li>Partner with cross-functional teams to translate business needs into technical solutions</li></ul><p><br></p><p> Nice to Have</p><ul><li>Microsoft certifications (e.g., Azure Data Engineer, Azure Solutions Architect)</li><li>Experience with Power BI integration</li><li>Exposure to data mesh or data fabric concepts</li></ul><p><br></p><p><br></p>
<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>
<p>We are looking for an experienced Data Engineer to join our team in Houston. In this role, you will design and optimize data pipeline architecture, ensuring the seamless integration and analysis of structured and unstructured data. You will collaborate with stakeholders to deliver reliable and scalable data solutions that align with organizational objectives.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines using Microsoft Fabric components, including Azure Data Factory, Lakehouse, Data Warehouses, and Dataflows.</p><p>• Implement solutions for extracting, integrating, and processing large volumes of structured and unstructured data.</p><p>• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver tailored solutions.</p><p>• Optimize and troubleshoot data pipelines to ensure high performance and reliability.</p><p>• Apply data governance and security best practices to maintain data integrity and compliance.</p><p>• Monitor and enhance data infrastructure to ensure scalability and availability.</p><p>• Stay informed on advancements in data engineering and Microsoft Fabric technologies to drive innovation.</p><p>• Manage the Data Platform roadmap, including capacity planning, future-proofing, and optimization.</p><p>• Address data quality issues by tracing lineage, implementing cleansing processes, and ensuring consistency.</p><p>• Coordinate with IT Operations and external vendors to resolve production issues and improve platform capabilities.</p>
We are looking for a skilled Data Engineer to join our team in Johnson City, Texas. In this role, you will design and optimize data solutions to enable seamless data transfer and management in Snowflake. You will work collaboratively with cross-functional teams to enhance data accessibility and support data-driven decision-making across the organization.<br><br>Responsibilities:<br>• Design, develop, and implement ETL solutions to facilitate data transfer between diverse sources and Snowflake.<br>• Optimize the performance of Snowflake databases by constructing efficient data structures and utilizing indexes.<br>• Develop and maintain automated, scalable data pipelines within the Snowflake environment.<br>• Deploy and configure monitoring tools to ensure optimal performance of the Snowflake platform.<br>• Collaborate with product managers and agile teams to refine requirements and deliver solutions.<br>• Create integrations to accommodate growing data volume and complexity.<br>• Enhance data models to improve accessibility for business intelligence tools.<br>• Implement systems to ensure data quality and availability for stakeholders.<br>• Write unit and integration tests while documenting technical work.<br>• Automate testing and deployment processes in Snowflake within Azure.
We are looking for an experienced Data Engineer to join our team in Johns Creek, Georgia, on a Contract to permanent basis. This position offers an exciting opportunity to design and optimize data pipelines, manage cloud systems, and contribute to the scalability of our Azure environment. The ideal candidate will bring advanced technical skills and a collaborative mindset to support critical data infrastructure initiatives.<br><br>Responsibilities:<br>• Develop and enhance data pipelines using Azure Data Factory to ensure efficient data processing and integration.<br>• Manage and administer Azure Managed Instances to support database operations and ensure system reliability.<br>• Implement real-time data replication from on-premises systems to cloud environments to support seamless data accessibility.<br>• Utilize advanced ETL tools and processes to transform and integrate complex data workflows.<br>• Collaborate with cross-functional teams to ensure data integration across systems, with a preference for experience in Salesforce integration.<br>• Leverage real-time streaming technologies such as Confluent Cloud or Apache Kafka to support dynamic data environments.<br>• Optimize data workflows using tools like Apache Spark and Hadoop to enhance processing performance.<br>• Troubleshoot and resolve database-related issues to maintain system stability and performance.<br>• Work closely with stakeholders to understand data requirements and provide innovative solutions.
<p>The Data Engineer will architect, develop, and maintain high-quality data pipelines and infrastructure to support analytics, reporting, and data science teams. This position requires hands-on expertise in ETL development, cloud platforms, and data warehousing to ensure the availability and accuracy of critical business data.</p>
<p>The Data Engineer will architect, develop, and maintain high-quality data pipelines and infrastructure to support analytics, reporting, and data science teams. This position requires hands-on expertise in ETL development, cloud platforms, and data warehousing to ensure the availability and accuracy of critical business data.</p>
<p>We are looking for an experienced <strong>Azure Data Architect</strong> to join our global technology team. This role plays a key part in designing and implementing scalable cloud-based data solutions that support enterprise integration, analytics, and transformation initiatives. The successful candidate will be skilled in working across multiple data sources, designing robust data pipelines, and supporting cloud data architecture with a focus on automation, performance, and governance.</p><p>This position focuses heavily on integrating and curating data from various systems into an Azure-based data environment. You'll collaborate with cross-functional teams to develop standards and frameworks for scalable ingestion, cleaning, transformation, and modeling across large datasets.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement optimized data pipelines and architecture for efficient ingestion, transformation, and delivery across a wide range of data sources.</li><li>Analyze data quality and perform detailed investigations across structured and unstructured datasets.</li><li>Partner with data engineers and solution architects to apply best practices in data modeling, test design, validation, and integration.</li><li>Build and scale data platforms that meet both functional and non-functional requirements.</li><li>Develop curated and industrialized datasets to support analytical use cases and business intelligence reporting.</li><li>Document data architecture diagrams, lineage, metadata, and standards across enterprise systems.</li><li>Identify and design cloud-based solutions for migrating and hosting legacy on-prem datasets in a scalable, secure environment.</li><li>Work closely with business stakeholders to align data architecture to organizational objectives and operational needs.</li></ul><p><br></p>
<p>We are seeking a <strong>Senior Data Engineer</strong> with deep expertise in <strong>Power BI, Microsoft Fabric, DAX, and SQL</strong> to join our growing analytics team. This role will focus on building and optimizing data models, pipelines, and reporting solutions to support enterprise-wide business intelligence and decision-making. You’ll collaborate closely with analysts, stakeholders, and IT teams to ensure data solutions are scalable, efficient, and insightful.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ETL processes within the Microsoft ecosystem.</li><li>Develop and optimize complex SQL queries, stored procedures, and views for efficient data extraction and transformation.</li><li>Build and enhance <strong>Power BI dashboards</strong> and reports with advanced DAX calculations to provide actionable insights.</li><li>Work with <strong>Microsoft Fabric</strong> to manage data integration, governance, and scalable analytics workloads.</li><li>Partner with business stakeholders to gather requirements and translate them into technical solutions.</li><li>Ensure data accuracy, security, and availability across multiple business units.</li><li>Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency.</li><li>Mentor junior team members and contribute to best practices around data engineering and BI.</li></ul><p><br></p>
<p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain efficient, reliable data pipelines and ETL processes using <strong>Microsoft Fabric</strong> or <strong>Databricks</strong> for large-scale data processing.</li><li>Collaborate with stakeholders to understand business requirements and create data solutions that align with technical and business strategies.</li><li>Optimize and improve workflows for data ingestion, transformation, and delivery to ensure high performance at scale.</li><li>Implement scalable architectures for big data processing, ensuring data quality, security, and governance best practices.</li><li>Develop and maintain reusable code to ensure consistency and reliability for future workflows.</li><li>Monitor and troubleshoot production environments, ensuring data systems perform as expected.</li><li>Stay current with emerging technologies, trends, and tools related to cloud-based data engineering platforms.</li></ul>
<p><strong>Job Summary:</strong></p><p> The Data Engineer will build and optimize data pipelines, ensuring reliable data collection, storage, and access for analytics and machine learning use cases. This role will work closely with analytics and engineering teams to design scalable data architectures.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain ETL/ELT pipelines for structured and unstructured data.</li><li>Integrate data from multiple sources into cloud data warehouses (Snowflake, BigQuery, Redshift).</li><li>Optimize data storage and retrieval for performance and scalability.</li><li>Collaborate with analysts and data scientists to ensure data quality.</li><li>Implement data governance and security best practices.</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>
We are looking for a skilled Business Intelligence (BI) Engineer to lead the development and delivery of advanced BI platforms for our organization. This role involves driving architectural decisions, managing cloud migrations, and optimizing data solutions to support business needs. The ideal candidate will have a passion for data, an ability to collaborate with stakeholders, and a commitment to fostering a high-performing team.<br><br>Responsibilities:<br>• Oversee and enhance existing BI platforms, including environments utilizing Amazon S3, Redshift, Lambda, and Power BI, as well as EC2-based BI stacks.<br>• Lead the migration of on-premises BI solutions to Azure Data Factory, Synapse Analytics, OneLake, and other Microsoft Fabric services.<br>• Design and develop robust data pipelines, semantic models, and interactive reports to meet diverse business requirements.<br>• Implement industry best practices for data modeling, performance optimization, and security across all BI solutions.<br>• Define and manage project scopes, timelines, and priorities to ensure successful delivery of multiple BI initiatives.<br>• Collaborate with business stakeholders to gather requirements, scope projects, and translate business needs into technical solutions.<br>• Facilitate design reviews, provide end-user training, and conduct demo sessions for new BI features.<br>• Mentor and guide BI developers and analysts, conducting code reviews and sharing knowledge to enhance team capabilities.<br>• Establish and promote standards for data governance, testing procedures, and documentation across all BI activities.
We are seeking a Data Engineer to join our team based in Bethesda, Maryland. As part of our Investment Management team, you will play a crucial role in designing and maintaining data pipelines in our Azure Data Lake, implementing data warehousing strategies, and collaborating with various teams to address data engineering needs.<br><br>Responsibilities:<br><br>• Design robust data pipelines within Azure Data Lake to support our investment management operations.<br>• Implement effective data warehousing strategies that ensure efficient storage and retrieval of data.<br>• Collaborate with Power BI developers to integrate data reporting seamlessly and effectively.<br>• Conduct data validation and audits to uphold the accuracy and quality of our data pipelines.<br>• Troubleshoot pipeline processes and optimize them for improved performance.<br>• Work cross-functionally with different teams to address and fulfill data engineering needs with a focus on scalability and reliability.<br>• Utilize Apache Kafka, Apache Pig, Apache Spark, and other cloud technologies for efficient data visualization and algorithm implementation.<br>• Develop APIs and use AWS technologies to ensure seamless data flow and analytics.<br>• Leverage Apache Hadoop for effective data management and analytics.
<p>We are seeking a highly skilled Database Engineer to support enterprise data modernization and migration efforts. This role focuses on evaluating, transforming, and managing data systems with a specialization in database migrations, particularly between on-premises and cloud platforms. Ideal candidates will be comfortable working with various data sources, building scalable integration solutions, and ensuring data integrity and performance throughout the process.</p><p>This position also includes a significant focus on designing and executing data migration strategies, documenting architecture, and ensuring compliance with data governance and security protocols.</p><p><br></p><p><strong>Core Responsibilities</strong></p><ul><li>Analyze existing database architectures to scope and plan efficient data migration strategies.</li><li>Develop comprehensive migration plans including risk assessments, resource allocation, and delivery timelines.</li><li>Execute data extraction, transformation, and loading (ETL) processes between systems.</li><li>Apply schema modifications and performance tuning during migrations.</li><li>Maintain data integrity, consistency, and security throughout all phases of migration.</li><li>Conduct thorough testing and validation to ensure migrated systems meet technical and business performance standards.</li><li>Identify and resolve issues during and after migration to ensure continued operational success.</li><li>Collaborate with business, IT, and vendor teams to align migration objectives with broader business goals.</li><li>Maintain clear and complete documentation for migration processes, configuration changes, and architecture.</li><li>Ensure all activities meet industry standards, internal policies, and data protection regulations.</li><li>Provide post-migration support and troubleshoot any arising database issues.</li><li>Analyze performance metrics post-migration and implement enhancements as needed.<strong></strong></li></ul>
<p>We are looking for an experienced Business Intelligence Engineer to join our team in Savannah, Georgia. In this role, you will design and implement advanced BI solutions that transform data into actionable insights, supporting strategic decision-making across the organization. This Contract-to-Permanent position offers the opportunity to work with cutting-edge tools such as Power BI, Azure Data Factory, and Databricks, while contributing to data-driven initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain interactive dashboards and reports using Power BI to visualize complex data sets.</p><p>• Manage BI workspaces, ensuring proper organization, access control, and security measures.</p><p>• Create and optimize queries for data transformation and analysis using DAX and other relevant technologies.</p><p>• Build and manage data pipelines using Azure Data Factory and Databricks to streamline data processing workflows.</p><p>• Design robust data models to support comprehensive reporting and analytics needs.</p><p>• Collaborate with cross-functional teams to gather requirements and deliver tailored BI solutions.</p><p>• Implement efficient data ingestion, transformation, and visualization processes to enhance operational efficiency.</p><p>• Ensure data accuracy and consistency across all business intelligence platforms.</p><p>• Enable rapid deployment of BI solutions to support agile decision-making processes.</p><p>• Monitor and improve data security and compliance within the BI environment.</p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
We are looking for a skilled and driven Data Engineer to join our team in San Juan Capistrano, California. This role centers on building and optimizing data pipelines, integrating systems, and implementing cloud-based data solutions. The ideal candidate will have a strong grasp of modern data engineering tools and techniques and a passion for delivering high-quality, scalable solutions.<br><br>Responsibilities:<br>• Design, build, and optimize scalable data pipelines using tools such as Databricks, Apache Spark, and PySpark.<br>• Develop integrations between internal systems and external platforms, including CRMs like Salesforce and HubSpot, utilizing APIs.<br>• Implement cloud-based data architectures aligned with data mesh principles.<br>• Collaborate with cross-functional teams to model, transform, and ensure the quality of data for analytics and reporting.<br>• Create and maintain APIs while testing and documenting them using tools like Postman and Swagger.<br>• Write efficient and modular Python code to support data processing workflows.<br>• Apply best practices such as version control, CI/CD, and code reviews to ensure robust and maintainable solutions.<br>• Uphold data security, integrity, and governance throughout the data lifecycle.<br>• Utilize cloud services for compute, storage, and orchestration, including platforms like AWS or Azure.<br>• Work within Agile and Scrum methodologies to deliver solutions efficiently and collaboratively.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for an experienced Senior Cloud Infrastructure Engineer to join our team in New York, New York. In this role, you will leverage your expertise in Microsoft Azure to design, implement, and optimize cloud solutions for a non-profit organization. This is a long-term contract position offering the opportunity to make a meaningful impact through innovative cloud technologies.<br><br>Responsibilities:<br>• Design and implement scalable and secure cloud solutions using Microsoft Azure services, including compute, storage, and networking.<br>• Manage and configure Azure Virtual Machines, Azure Functions, and Azure App Services to support various organizational needs.<br>• Develop and maintain robust networking infrastructure, including Virtual Networks, Subnets, Azure Firewalls, and Load Balancers.<br>• Optimize database solutions using Azure SQL Database, Data Warehouse, and other Azure data services.<br>• Ensure seamless application integration with Microsoft Intra ID and single sign-on processes.<br>• Evaluate and implement Azure storage options, such as Blob Storage, Table Storage, Queue Storage, and Azure Files.<br>• Apply Azure security best practices to protect organizational infrastructure and data.<br>• Monitor and analyze system performance using Azure Monitor, Log Analytics, and Application Insights.<br>• Develop and maintain CI/CD pipelines and source code management processes through Azure DevOps.<br>• Collaborate with cross-functional teams using Agile Scrum methodologies to deliver cloud solutions effectively.
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
We are looking for an experienced Azure Applications Engineer to join our team in Tallahassee, Florida. In this Contract-to-Permanent position, you will be responsible for designing, implementing, and managing cloud-based solutions on the Microsoft Azure platform. The ideal candidate will possess a strong background in Azure services, client-side scripting, and DevOps practices to deliver scalable and secure applications.<br><br>Responsibilities:<br>• Develop and maintain cloud-native applications utilizing Azure services such as Azure App Service, Azure Functions, and Azure Kubernetes Services (AKS).<br>• Design and implement user-friendly front-end interfaces using client-side scripting frameworks, including JavaScript, TypeScript, or React.<br>• Create and integrate RESTful APIs to ensure seamless communication between front-end and back-end systems.<br>• Optimize application performance and ensure responsive design across various browsers and devices.<br>• Establish robust CI/CD pipelines using Azure DevOps and automate infrastructure workflows for efficient deployments.<br>• Monitor application health and performance using tools like Azure Monitor, Application Insights, and Log Analytics.<br>• Diagnose and resolve technical issues across both front-end and back-end systems.<br>• Manage security protocols such as OAuth, Azure Key Vault, and Azure Active Directory to safeguard applications and data.<br>• Implement hybrid cloud solutions that integrate on-premises systems with Azure using tools like ExpressRoute and Virtual Networks.
<p>MUST RESIDE IN TAMPA, FL AREA. Role will require first 90 days fully in-office, then 2 days remote per week after 90 days.</p><p><br></p><p>We are seeking a skilled Business Intelligence/Database Engineer with a minimum of 3 years of professional experience to join our dynamic team. The ideal candidate will have expertise in PowerBI, SQL development, T-SQL coding, Azure, SSIS, and SSRS, with a strong background in the Property & Casualty (P& C) insurance industry. This role will focus on designing, developing, and maintaining business intelligence solutions to support data-driven decision-making.</p><p>Key Responsibilities</p><ul><li><strong>Data Analysis and Reporting</strong>: Design and develop interactive dashboards and reports using PowerBI to provide actionable insights for business stakeholders in the P& C insurance industry.</li><li><strong>Database Development</strong>: Write, optimize, and maintain complex SQL and T-SQL queries to extract, transform, and load data from various sources, ensuring high performance and data integrity.</li><li><strong>ETL Processes</strong>: Develop and manage ETL workflows using SQL Server Integration Services (SSIS) to integrate data from multiple systems and ensure seamless data flow.</li><li><strong>Report Generation</strong>: Create and maintain reports using SQL Server Reporting Services (SSRS) to meet business requirements and support operational reporting needs.</li><li><strong>Cloud Integration</strong>: Leverage Microsoft Azure to design and implement cloud-based data solutions, including data storage, processing, and analytics.</li><li><strong>Data Modeling</strong>: Build and maintain data models to support business intelligence applications, ensuring scalability and alignment with P& C industry standards.</li><li><strong>Collaboration</strong>: Work closely with business analysts, data scientists, and stakeholders to understand requirements and deliver tailored BI solutions.</li><li><strong>Performance Optimization</strong>: Monitor and optimize database performance, troubleshoot issues, and ensure data security and compliance with industry regulations.</li><li><strong>Documentation</strong>: Maintain detailed documentation of database structures, ETL processes, and BI solutions for future reference and team collaboration.</li></ul><p><br></p>
<p>We are looking for a skilled Lead Full Stack Software Engineer to join our team in Sherman, Illinois. This long-term contract role requires an experienced individual capable of independently addressing complex system analysis challenges and providing expert-level guidance. If you have a strong background in application systems analysis and are passionate about solving intricate problems, this position offers an exciting opportunity to make a significant impact.</p><p><br></p><p>As a Lead Full-stack Software Engineer, you will move beyond building applications to designing, leading, and guiding the engineering direction of our internal web solutions.</p><p>You will set the bar for engineering excellence, mentor junior engineers, and take ownership of system architecture while remaining hands-on with critical builds and AI-powered feature development.</p><p>This role is ideal for someone who thrives in balancing hands-on development with leading others, influencing architecture decisions, and driving innovation. You’ll partner closely with business stakeholders and data engineering to ensure our solutions are scalable, reliable, and impactful.</p><p><br></p><p>What you will do</p><p>Technical Leadership & Architecture</p><ul><li>Design and lead the architecture of modern, scalable full-stack applications.</li><li>Provide technical guidance, code reviews, and mentorship to G9/G10 engineers.</li><li>Lead integration of AI-powered features into existing and new applications.</li><li>Collaborate with product and business stakeholders to align engineering solutions with business objectives.</li></ul><p>Software Engineering – New Development</p><ul><li>Lead design, development, testing, and deployment of greenfield full-stack applications.</li><li>Drive modernization efforts: migrate and redesign legacy apps into Flask/Next.js.</li><li>Partner with the data engineering team to modernize ETL pipelines.</li></ul><p>Maintenance & Reliability</p><ul><li>Act as a technical escalation point for production issues.</li><li>Oversee and improve performance, reliability, and maintainability of core apps</li></ul>
