We are looking for a skilled Engineer to develop and enhance software solutions that address complex challenges in the real estate and property industry. This long-term contract position involves designing, coding, testing, and maintaining scalable and secure software systems. Based in Minneapolis, Minnesota, this role offers an opportunity to contribute to impactful engineering projects while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and implement software solutions that align with customer needs and organizational goals.<br>• Develop, test, debug, and document code to ensure reliability and performance.<br>• Collaborate with team members to solve technical challenges and remove roadblocks.<br>• Apply knowledge of frameworks and systems design to create stable and scalable software.<br>• Participate in product planning and provide input on technical strategies and solutions.<br>• Troubleshoot and analyze complex issues to identify and resolve defects.<br>• Mentor developers who are early in their careers and provide technical guidance to the team.<br>• Explore and adopt new technologies to enhance product performance and lifecycle.<br>• Contribute to DevOps processes, including support rotations and subsystem knowledge-building.<br>• Assist in recruiting efforts by participating in interviews and evaluating potential team members.
<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>
<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>
We are looking for a skilled Databricks Engineer to join our team in Columbus, Ohio. In this role, you will focus on designing and optimizing data pipelines within a modern Data Lakehouse ecosystem. You will play a key part in transforming raw data into valuable insights while collaborating with cross-functional teams to enhance data accessibility and quality.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks and Delta Lake architecture.<br>• Develop and optimize data transformation processes using Python and ETL tools.<br>• Manage and integrate Azure Data Lake Gen2, Unity Catalog, and Data Factory components.<br>• Establish CI/CD practices and version control workflows using Git and GitHub.<br>• Perform data modeling and fine-tune performance for business intelligence applications.<br>• Collaborate with various teams to maintain high standards of data quality and governance.<br>• Troubleshoot and resolve issues in data workflows to ensure seamless operations.<br>• Document processes and solutions to maintain knowledge continuity and support future development.
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 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.
<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>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>
Position: SENIOR CDP DATA ANALYST - Help Build a Smarter Connected Digital Experience<br>Location: REMOTE<br>Salary: UP TO $140K + EXCEPTIONAL BENEFITS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>A nationally recognized company with a long history of success is launching a bold new digital initiative—and this is your opportunity to help shape it from the ground up.<br>This newly formed department is building a mobile-first product from scratch. It’s a greenfield, 0-to-1 launch with the pace and creativity of a startup, backed by the resources and stability of a Fortune 500 parent. The first MVP is nearing launch, and we’re assembling a team of 20 innovators to bring it to life.<br>As a Senior CDP Data Analyst, you’ll be a key player in designing and evolving a custom-built Customer Data Platform. Your work will unify customer insights across systems and empower smarter, faster decision-making across the organization.<br>What You’ll Be Doing<br> • Collaborate with data engineers, architects, and business stakeholders to define data requirements and use cases.<br> • Design data models and integration logic to support a unified customer view.<br> • Analyze customer behavior across platforms to uncover insights and segmentation opportunities.<br> • Build dashboards and visualizations that drive strategic decisions.<br> • Ensure data quality, consistency, and governance across the Customer Data Platform.<br> • Translate business needs into technical specifications and support iterative development.<br> • Advocate for data best practices and help standardize customer metrics across teams.<br>What You Bring<br> • 5+ years of experience in data analysis, with a focus on customer data and cross-platform integration.<br> • Advanced skills in SQL and Python, R, or similar languages.<br> • Experience with data visualization tools like Power BI or Tableau.<br> • Familiarity with cloud data platforms (Azure, AWS, GCP) and modern data warehousing.<br> • Strong communication skills and ability to work across technical and non-technical teams.<br> • Bonus: Experience with customer journey analytics, segmentation modeling, personalization strategies, and data privacy frameworks (GDPR, CCPA).<br>Why Join Now?<br> • Be part of a ground-floor team shaping a transformative digital product.<br> • Work in a fast-paced, agile environment with full executive support.<br> • Influence how data drives decisions across a nationally recognized organization.<br> • Enjoy the freedom to innovate—without legacy constraints.<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
We are looking for a Senior Data Warehouse Developer with deep expertise in the Microsoft Data Platform, including SSIS, SSRS, Azure Synapse Analytics, and Azure Databricks. This role will design, build, and maintain scalable data warehouse solutions to enable advanced analytics, reporting, and business intelligence across the organization. You’ll collaborate with cross-functional teams to ensure data quality, performance, and security within our On-Prem and Azure-based data ecosystem.<br>________________________________________<br>Key Responsibilities<br>• Design, develop, and maintain enterprise data warehouse solutions using Azure Synapse Analytics and SQL Server.<br>• Develop ETL/ELT pipelines using SQL Server Integration Services (SSIS) and Azure Data Factory to extract, transform, and load data from diverse sources.<br>• Design and implement data models (star/snowflake schemas, fact/dimension tables) optimized for analytics and reporting.<br>• Leverage Azure Databricks for data transformation, cleansing, and advanced data engineering workloads.<br>• Optimize performance of queries, ETL jobs, and data models to ensure efficiency and scalability.<br>• Ensure data quality, governance, and security by applying best practices in data validation, auditing, and lineage tracking.<br>• Collaborate with business analysts and stakeholders to translate business requirements into technical specifications.<br>• Automate workflows and deployment processes using CI/CD pipelines, Azure DevOps, and scripting.<br>• Develop and maintain reports and dashboards using SQL Server Reporting Services (SSRS) and Tableau.<br>• Stay current with Azure data services, tools, and best practices to continuously enhance the data platform.<br>________________________________________<br>Qualifications<br>Required:<br>• Bachelor’s degree in Computer Science, Information Systems, or related field.<br>• 5+ years of experience in data warehouse development within the Microsoft BI stack.<br>• Strong proficiency in SQL (T-SQL) and performance tuning.<br>• Hands-on experience with SSIS for ETL development and SSRS for reporting.<br>• Expertise with Azure Synapse Analytics, Azure Data Factory, and Azure SQL Database.<br>• Experience with Azure Databricks for data transformation and integration with Synapse.<br>• Strong understanding of data modeling, dimensional design, and metadata management.<br>• Familiarity with Azure DevOps for CI/CD pipeline management. Familiarity with Azure Data Lake Storage (ADLS) and Delta Lake.<br>• Understanding of Agile development methodologies.<br>Plus:<br>• Microsoft certifications (e.g., Azure Data Engineer Associate) are a plus. <br>• Knowledge of data governance and security best practices in Azure environments.<br>________________________________________<br>Soft Skills<br>• Strong analytical and problem-solving skills.<br>• Excellent communication and collaboration abilities across teams.<br>• Attention to detail and commitment to high-quality deliverables.<br>• Ability to work independently and mentor junior developers.<br>• Continuous learning mindset with a passion for innovation.
<p><strong>Overview:</strong></p><p>The Data Center Engineer is responsible for the installation, configuration, and maintenance of the data center’s physical and virtual infrastructure. This role ensures high availability, performance, and security of critical systems supporting enterprise operations. The ideal candidate will have hands-on experience with servers, networking, storage systems, and facility management within a mission-critical environment.</p><p> </p><p> <strong>Key Responsibilities:</strong></p><ul><li>Install, configure, and maintain servers, network equipment, and storage devices within the data center.</li><li>Monitor environmental controls, power usage, and physical security to ensure optimal data center performance.</li><li>Perform routine maintenance, system upgrades, and firmware updates to sustain uptime and reliability.</li><li>Troubleshoot hardware, connectivity, and performance issues; coordinate with vendors for hardware support.</li><li>Maintain accurate documentation of rack layouts, cable management, IP assignments, and asset inventory.</li><li>Participate in capacity planning and infrastructure scaling efforts to meet business growth.</li><li>Ensure compliance with data center standards and best practices for redundancy, backup, and disaster recovery.</li><li>Collaborate with Network, Systems, and Cloud Engineering teams on hybrid infrastructure and automation initiatives.</li><li>Support on-call rotations and respond to after-hours incidents as required.</li></ul><p> <strong>Key Competencies:</strong></p><ul><li>Detail-oriented with a strong sense of ownership and accountability.</li><li>Ability to work independently or collaboratively in a fast-paced environment.</li><li>Strong communication skills and a service-oriented mindset.</li></ul><p><br></p><p><br></p>
<p><strong>Role Summary</strong></p><p>As a Technical Project Manager focused on data and AWS cloud, you will lead the planning, execution, and delivery of engineering efforts involving data infrastructure, data platforms, analytics, and cloud services. You will partner with data engineering, analytics, DevOps, product, security, and business stakeholders to deliver on key strategic initiatives. You are comfortable navigating ambiguity, managing dependencies across teams, and ensuring alignment between technical direction and business priorities.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end-to-end technical projects pertaining to AWS cloud, data platforms, data pipelines, ETL/ELT, analytics, and reporting.</li><li>Define project scope, objectives, success criteria, deliverables, and timelines in collaboration with stakeholders.</li><li>Create and maintain detailed project plans, roadmaps, dependency maps, risk & mitigation plans, status reports, and communication plans.</li><li>Track and monitor project progress, managing changes to scope, schedule, and resources.</li><li>Facilitate agile ceremonies (e.g., sprint planning, standups, retrospectives) or hybrid methodologies as appropriate.</li><li>Serve as the bridge between technical teams (data engineering, DevOps, platform, security) and business stakeholders (product, analytics, operations).</li><li>Identify technical and organizational risks, escalate when needed, propose mitigation or contingency plans.</li><li>Drive architectural and design discussions, ensure technical feasibility, tradeoff assessments, and alignment with cloud best practices.</li><li>Oversee vendor, third-party, or external partner integrations and workstreams.</li><li>Ensure compliance, security, governance, and operational readiness (e.g., data privacy, logging, monitoring, SLA) are baked into deliverables.</li><li>Conduct post-implementation reviews, lessons learned, and process improvements.</li><li>Present regularly to senior leadership on project status, challenges, KPIs, and outcomes.</li></ul>
We are looking for an experienced SCADA Engineer III to join our team in Allentown, Pennsylvania. This is a long-term contract position that offers the opportunity to contribute to critical substation projects while working in a hybrid or fully remote environment, depending on candidate qualifications. The ideal candidate will leverage their expertise in computer engineering, communication protocols, and SCADA systems to support the design and troubleshooting of substation communication networks.<br><br>Responsibilities:<br>• Develop configuration settings for substation projects, adhering to established organizational standards.<br>• Create and refine point assignment sheets in collaboration with substation design engineers.<br>• Apply communication standards set by network engineers to ensure seamless integration into substation designs.<br>• Diagnose and resolve data and communication issues in coordination with system operators and Relay Test personnel.<br>• Utilize programming languages, including PLC ladder logic and Lua, to optimize control systems.<br>• Analyze and interpret network topology to support substation communication frameworks.<br>• Ensure effective data exchange between devices by implementing communication protocols.<br>• Support supervisory control and data acquisition (SCADA) systems through design, review, and troubleshooting efforts.<br>• Utilize spreadsheets and related tools to organize and manage project data.<br>• Maintain compliance with organizational and industry standards in all engineering tasks.
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.
<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>
We are looking for a skilled Sr. Software Engineer to join our dynamic team in Houston, Texas. In this role, you will collaborate with data scientists and machine learning engineers to develop advanced AI tools and applications, including supporting firmwide virtual assistant technologies. This position offers a unique opportunity to work across the entire machine learning lifecycle, from data sourcing and integration to solution design and implementation. If you are passionate about leveraging your technical expertise to drive business value, we encourage you to apply.<br><br>Responsibilities:<br>• Collaborate with global data scientists to deliver machine learning models and solutions for business users and technology teams.<br>• Develop, test, and maintain scalable software tools and data pipelines for machine learning applications.<br>• Provide expertise in software engineering, emphasizing maintainability, performance, and reliability, particularly in Python.<br>• Take ownership of critical technical infrastructure as needed to ensure seamless operations.<br>• Engage with projects at various stages, debugging and enhancing bespoke applications to improve performance and reliability.<br>• Manage multiple projects simultaneously, prioritizing tasks to maximize business impact.<br>• Lead and participate in code reviews, experiment design, and tooling decisions to enhance team productivity and quality.<br>• Act as a bridge between the Data Science team and other technology units for application integration, data sourcing, and infrastructure needs.
<p>We are looking for an innovative AI Engineer to join our team. In this role, you will design and implement AI-driven solutions that address operational challenges and enhance efficiency across various departments. This position requires close collaboration with cross-functional teams to develop scalable, secure, and impactful AI systems that align with business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models to optimize workflows in manufacturing, sales, marketing, human resources, and other business functions.</p><p>• Design and refine intelligent systems and prompts to enhance customer interactions, employee support, and operational processes.</p><p>• Collaborate with different business units to identify AI opportunities and deliver tailored solutions that address their specific needs.</p><p>• Integrate structured and unstructured data into AI models to provide actionable insights and improve decision-making.</p><p>• Evaluate and utilize approved AI tools, frameworks, and databases to meet business objectives effectively.</p><p>• Share knowledge and best practices for AI tools and workflows with colleagues to support informal learning and skill development.</p><p>• Document AI workflows, model architectures, and processes to ensure transparency and facilitate knowledge sharing within the organization.</p><p>• Stay updated on emerging AI technologies and techniques to continuously enhance the effectiveness of deployed solutions.</p><p>• Provide technical input on the adoption of tools and platforms while ensuring their alignment with organizational goals.</p>
<p>We’re looking for a SQL developer, responsible for solving complex data and workflow challenges and building tools that directly impact production, fulfillment, and reporting systems. You’ll work closely with cross-functional teams to design, develop, and support custom software solutions that drive operational efficiency and scalability.</p><p><br></p><p><strong>Top Responsibilities</strong></p><ol><li>Design & Develop Custom Solutions: Build and maintain Windows-based and web applications that integrate with production systems, inventory tools, and third-party platforms.</li><li>Data Engineering & Automation: Create data workflows using SQL Server, SSIS, and other tools to automate print production, reporting, and invoicing processes.</li><li>System Integration: Develop interfaces with devices and systems such as barcode scanners, shipping tools, and ERP platforms.</li><li>Project Collaboration: Partner with technical leads and account managers to define project goals, test solutions, and ensure successful deployment.</li><li>Mentorship & Support: Guide junior developers and provide ongoing support for deployed applications, including training and documentation.</li></ol>
Position: SENIOR DATA INTEGRATION ENGINEER - Architect the backbone of a Mobile-First Digital Experience<br>Location: REMOTE<br>Salary: UPTO $175K + BONUS + EXCEPTIONAL BENEFITS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>A nationally recognized company with a long-standing legacy of success is launching a bold new digital initiative—and this is your opportunity to help build it from the ground up.<br>With full executive support and the resources of a Fortune 500 parent, this newly formed department is creating a mobile-first product from scratch. It’s a greenfield, 0-to-1 launch with the pace and creativity of a startup, but with the stability and funding already secured. The first MVP is nearing launch, and we’re assembling a team of 20 innovators to bring it to life.<br>We’re looking for a Senior Data Integration Engineer to lead the design and development of a scalable, secure, and high-performing data ecosystem. You’ll play a critical role in building a custom Customer Data Platform (CDP), integrating internal and external systems, and enabling real-time personalization, analytics, and enterprise-wide insights.<br>What You’ll Do<br> • Build and maintain scalable data pipelines using Python and cloud-native tools.<br> • Design and implement a robust CDP to unify customer data across platforms.<br> • Develop APIs and data workflows for real-time and batch integrations.<br> • Optimize data environments for performance, security, and reliability.<br> • Collaborate with cross-functional teams to define data requirements and integration strategies.<br> • Implement data governance and privacy practices to ensure compliance.<br> • Leverage CI/CD pipelines and automation to streamline deployment and maintenance.<br> • Document architecture, data flows, and integration patterns for scalability.<br>What You Bring<br> • 10+ years of experience with RESTful APIs, SQL, Python, or PowerShell.<br> • 5+ years working with cloud platforms (Azure, AWS, GCP) and cloud-native tools (ADF, Glue, dbt, Airflow).<br> • Proven experience building or integrating with CDPs (Segment, Salesforce CDP, Adobe Experience Platform, or custom solutions).<br> • Experience with data integration tools (Apache NiFi, Talend, Informatica).<br> • Familiarity with event-driven architectures, message queues (Kafka), and microservices.<br> • Strong understanding of data privacy, security, and governance.<br> • Bonus: Experience with Snowflake, BigQuery, Databricks, and Infrastructure as Code tools (Terraform, Pulumi, CloudFormation).<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
Position: SENIOR DATA INTEGRATION ENGINEER - Architect the backbone of a Mobile-First Digital Experience<br>Location: REMOTE<br>Salary: UPTO $175K + BONUS + EXCEPTIONAL BENEFITS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>A nationally recognized company with a long-standing legacy of success is launching a bold new digital initiative—and this is your opportunity to help build it from the ground up.<br>With full executive support and the resources of a Fortune 500 parent, this newly formed department is creating a mobile-first product from scratch. It’s a greenfield, 0-to-1 launch with the pace and creativity of a startup, but with the stability and funding already secured. The first MVP is nearing launch, and we’re assembling a team of 20 innovators to bring it to life.<br>We’re looking for a Senior Data Integration Engineer to lead the design and development of a scalable, secure, and high-performing data ecosystem. You’ll play a critical role in building a custom Customer Data Platform (CDP), integrating internal and external systems, and enabling real-time personalization, analytics, and enterprise-wide insights.<br>What You’ll Do<br> • Build and maintain scalable data pipelines using Python and cloud-native tools.<br> • Design and implement a robust CDP to unify customer data across platforms.<br> • Develop APIs and data workflows for real-time and batch integrations.<br> • Optimize data environments for performance, security, and reliability.<br> • Collaborate with cross-functional teams to define data requirements and integration strategies.<br> • Implement data governance and privacy practices to ensure compliance.<br> • Leverage CI/CD pipelines and automation to streamline deployment and maintenance.<br> • Document architecture, data flows, and integration patterns for scalability.<br>What You Bring<br> • 10+ years of experience with RESTful APIs, SQL, Python, or PowerShell.<br> • 5+ years working with cloud platforms (Azure, AWS, GCP) and cloud-native tools (ADF, Glue, dbt, Airflow).<br> • Proven experience building or integrating with CDPs (Segment, Salesforce CDP, Adobe Experience Platform, or custom solutions).<br> • Experience with data integration tools (Apache NiFi, Talend, Informatica).<br> • Familiarity with event-driven architectures, message queues (Kafka), and microservices.<br> • Strong understanding of data privacy, security, and governance.<br> • Bonus: Experience with Snowflake, BigQuery, Databricks, and Infrastructure as Code tools (Terraform, Pulumi, CloudFormation).<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
We are looking for an experienced Applications Architect to join our team in Chicago, Illinois. This long-term contract position focuses on designing and implementing scalable, secure, and cloud-native solutions using cutting-edge technologies. The ideal candidate will possess expertise in data engineering, application development, and cloud architecture to drive innovation and support dynamic, metadata-driven environments.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and workflows using Azure Data Factory and SQL Server to ensure seamless data integration.<br>• Design flexible data models and implement governance protocols to optimize performance and ensure data security.<br>• Architect cloud-native solutions on Microsoft Azure, leveraging AI/ML integration for enhanced analytics and automation.<br>• Build enterprise-grade applications using .NET Blazor and low-code tools, ensuring scalability and user-centered design.<br>• Automate workflows and processes using Azure Logic Apps, Function Apps, and Power Automate.<br>• Manage hosting and deployment through Azure Service Plans and Web Services, ensuring reliability and efficiency.<br>• Collaborate with cross-functional teams to align data engineering and application development efforts with organizational goals.<br>• Lead integration of Azure Data Platform with Power BI to deliver actionable business intelligence solutions.<br>• Mentor team members on best practices in AI, cloud technologies, and application design.<br>• Optimize database and data lake performance across structured and unstructured data environments.
<p><strong>About the Role:</strong></p><p> We are looking for a <strong>Senior Python Developer</strong> to join our team and play a key role in designing, developing, and optimizing high-performance applications. This role is ideal for someone who thrives in solving complex problems, writing clean, efficient code, and collaborating with cross-functional teams to deliver innovative solutions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable applications and services using <strong>Python</strong>.</li><li>Write clean, testable, and efficient code following best practices.</li><li>Collaborate with product managers, engineers, and stakeholders to define requirements and deliver high-quality software solutions.</li><li>Optimize performance of existing applications and troubleshoot critical production issues.</li><li>Implement automated testing frameworks and ensure robust code coverage.</li><li>Contribute to architectural decisions and mentor junior developers.</li><li>Integrate applications with third-party APIs and cloud-based services.</li><li>Stay current with emerging technologies, frameworks, and best practices in Python development.</li></ul><p><br></p>
We are looking for a skilled Systems Engineer to join our team in Livonia, Michigan. This is an on-site, Contract-to-Permanent position that requires hands-on expertise in managing infrastructure, networking, and cloud-based systems. The ideal candidate will excel in troubleshooting complex issues and delivering high-quality technical solutions for both internal and external stakeholders.<br><br>Responsibilities:<br>• Lead and manage client projects from initial planning stages through implementation.<br>• Configure and maintain Windows Server environments, including hardware setup and optimization.<br>• Design and implement backup strategies to ensure system reliability and data protection.<br>• Manage Layer 3 switching tasks, including VLAN configurations, link aggregation, and routing protocols.<br>• Administer Microsoft 365 environments, including Exchange Online, Intune, and Azure AD, while ensuring proper licensing structures.<br>• Configure enterprise firewalls and manage VPN tunnels for secure communication.<br>• Utilize Entra ID (Azure AD) for hybrid identity and access management solutions.<br>• Develop and enforce Microsoft Intune policies for device management and security.<br>• Support Hybrid-Active Directory environments and manage Group Policy configurations.<br>• Provide technical support for applications running on Windows Server operating systems and participate in on-call rotations.
We are in search of a Sr. Software Engineer to join our team based in Woodbridge, New Jersey. In this role, you will be tasked with the development of high-quality software solutions using modern scripting languages and AWS, ensuring scalability, performance, and maintainability. This position will also require you to collaborate closely with various teams to translate business requirements into technical specifications.<br><br>Responsibilities:<br>• Develop robust software solutions using scripting languages such as TypeScript, JavaScript, and Python, ensuring cross-platform compatibility and performance optimization.<br>• Design, develop, and deploy software solutions using React and AWS, adhering to architecture decisions.<br>• Manage APIs to support seamless integration across systems, ensuring adherence to performance, scalability, and security standards.<br>• Optimize the performance and cost-efficiency of applications hosted in AWS, leveraging services such as database management, serverless computing, and cloud storage solutions.<br>• Design, develop, and optimize SQL queries and database structures to support application requirements, ensuring data integrity, performance, and security in SQL-based systems.<br>• Work closely with cross-functional teams, including Business Solution Engineers and QA, to ensure successful project delivery.<br>• Communicate technical concepts clearly to non-technical audiences and promote best practices in coding, testing, and deployment across the team.<br>• Foster a culture of collaboration, innovation, and technical excellence by sharing your experience and knowledge with a team of engineers.<br>• Ensure adherence to security best practices in cloud-based development.
We are looking for a Machine Learning Engineer I (Contractor) to join our team in Philadelphia, Pennsylvania. In this long-term contract role, you will be responsible for developing, validating, and deploying machine learning models while contributing to innovative product and application solutions. The ideal candidate will possess strong programming skills, expertise in machine learning, and a passion for working with data-driven technologies to enhance business outcomes.<br><br>Responsibilities:<br>• Design, implement, and refine machine learning algorithms tailored for specific products and applications.<br>• Develop robust data pipelines, including processes for data ingestion, validation, cleaning, and monitoring.<br>• Train machine learning models, validate their accuracy, and deploy them into production environments.<br>• Contribute to proof-of-concept solutions and conduct studies to inform future product or application development.<br>• Create and maintain technical documentation, including evaluation plans, white papers, presentations, and formal reports.<br>• Test and evaluate solutions by performing case studies, generating test results, and documenting findings.<br>• Collaborate with cross-functional teams to ensure the seamless integration of machine learning solutions into existing systems.<br>• Monitor and maintain deployed models to ensure optimal performance and reliability.<br>• Research emerging technologies and methodologies to continuously improve processes and solutions.
