<p>We are looking for a highly skilled Remote Oracle Cloud Database Administrator to join our team in Texas, must be able to go onsite in Houston or Dallas market. In this role, you will be responsible for managing, securing, and optimizing Oracle Exadata systems across on-premises and cloud environments. Your expertise in database architecture, advanced security measures, and performance tuning will ensure the seamless operation and protection of mission-critical systems.</p><p><br></p><p>Responsibilities:</p><p>• Manage and maintain Oracle Exadata systems, including storage, compute nodes, and networks across both on-premises and cloud environments.</p><p>• Implement advanced security protocols such as encryption, access controls, and auditing to safeguard database environments.</p><p>• Perform installations, configurations, patching, and upgrades of Exadata software and firmware with minimal disruption.</p><p>• Monitor database performance, identify and resolve issues proactively, and optimize systems for peak efficiency.</p><p>• Develop and execute comprehensive backup and recovery plans to support business continuity and disaster recovery.</p><p>• Collaborate with cross-functional teams to address database-related requirements while ensuring compliance and security standards.</p><p>• Automate routine database administration and security processes using scripting languages to enhance efficiency.</p><p>• Participate in capacity planning and disaster recovery exercises, focusing on secure architecture and compliance.</p><p>• Provide 24/7 production support, including handling urgent incidents related to database performance or security.</p>
We are looking for an experienced Oracle Developer to join our team in San Antonio, Texas. In this role, you will design, implement, and maintain Oracle-based applications, ensuring they meet business needs and perform optimally. You will collaborate closely with stakeholders to translate requirements into robust technical solutions while adhering to best practices.<br><br>Responsibilities:<br>• Develop and enhance applications using Oracle technologies, PL/SQL, and related frameworks.<br>• Design and maintain Oracle Forms, Reports, and interactive BI dashboards.<br>• Collaborate with business users to gather and analyze requirements for technical implementation.<br>• Create intuitive user interfaces utilizing Oracle tools, JavaScript, and other web technologies.<br>• Optimize database queries and improve application performance for seamless functionality.<br>• Support testing, deployment, and ongoing production activities to ensure system reliability.<br>• Produce comprehensive technical documentation and maintain high-quality coding standards.
<p>Architect and lead the modern data platform using <strong>Microsoft Fabric</strong>. You’ll define data models, pipelines, governance, and performance patterns that power analytics at scale.</p><p><strong>What You’ll Do</strong></p><ul><li>Design end‑to‑end architectures leveraging Fabric (OneLake, Lakehouses, Warehouses)</li><li>Define medallion/layered models, dimensional designs, and semantic layers</li><li>Lead ingestion and transformation with Dataflows Gen2 / Data Factory / Notebooks</li><li>Establish governance (data quality, lineage, security, RLS/OLS)</li><li>Optimize performance and cost; standardize reuseable patterns</li><li>Mentor data engineers/analysts; review solutions and set best practices</li><li>Partner with business to translate use cases into scalable models</li></ul><p><br></p>
We are looking for an experienced Data Architect to design and implement cutting-edge data solutions that meet the evolving needs of our enterprise. This role involves building secure, scalable, and high-performing data platforms while leveraging modern technologies and aligning with organizational goals. The ideal candidate will have expertise in cloud-based architecture, data governance, and advanced analytics, driving innovation across diverse business functions.<br><br>Responsibilities:<br>• Develop comprehensive data architecture strategies for advanced analytics and big data solutions using Azure Databricks.<br>• Design and implement Databricks Delta Lake-based Lakehouse architecture, utilizing PySpark Jobs, Databricks Workflows, Unity Catalog, and Medallion architecture.<br>• Optimize and configure Databricks clusters, notebooks, and workflows to ensure efficiency and scalability.<br>• Integrate Databricks with Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, and Microsoft Fabric.<br>• Establish and enforce best practices for data governance, security, and cost management.<br>• Collaborate with data engineers, analysts, and business stakeholders to translate functional requirements into robust technical solutions.<br>• Provide technical mentoring and leadership to team members focused on Databricks and Azure technologies.<br>• Monitor, troubleshoot, and enhance data pipelines and workflows to maintain reliability and performance.<br>• Ensure compliance with organizational and regulatory standards regarding data security and privacy.<br>• Document configurations, processes, and governance standards to support long-term scalability and usability.
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
We are looking for a skilled Linux Administrator to join our team in Cedar Rapids, Iowa. This role involves managing and optimizing Linux-based systems to ensure smooth operations while enhancing system performance. The ideal candidate will have hands-on experience with Linux server environments and a strong understanding of related technologies.<br><br>Responsibilities:<br>• Manage and maintain Linux servers, ensuring their reliability and security.<br>• Optimize system configurations to enhance performance and meet organizational needs.<br>• Implement and manage PostgreSQL databases, ensuring data integrity and efficient operations.<br>• Utilize Bash scripting to automate routine tasks and streamline workflows.<br>• Configure and support Active Directory to manage user authentication and permissions.<br>• Troubleshoot and resolve system issues to minimize downtime and disruptions.<br>• Collaborate with team members to design and implement system upgrades and improvements.<br>• Apply knowledge of Ubuntu servers to effectively manage and maintain infrastructure.<br>• Integrate tools like MapServer or OpenLayers to enhance system functionality, if applicable.<br>• Ensure compliance with best practices and security standards across all systems.
<p>Robert Half Technology is looking for a SharePoint Administrator to support an MSP client based in Washington State.</p><p> </p><p>This role will focus on <strong>SharePoint administration, permissions cleanup, data tagging, and DLP compliance</strong>, while also supporting internal teams through training and guidance on best practices.</p><p> </p><p><strong>Duration:</strong> Part-time (60 hours total; providing additional support as needed)</p><p><strong>Location:</strong> Hybrid – in Kent, Washington</p><p><strong>Pay rate:</strong> up to $75/hourly</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Support the <strong>redesign and optimization of the organization’s SharePoint environment</strong></li><li>Perform <strong>SharePoint administration</strong>, including site management and structure improvements</li><li>Conduct <strong>permissions cleanup and governance reviews</strong> to ensure appropriate access controls</li><li>Implement and manage <strong>data tagging and classification</strong> to support compliance initiatives</li><li>Support <strong>Data Loss Prevention (DLP) compliance efforts</strong> within SharePoint and related Microsoft environments</li><li>Assist with <strong>documentation, governance policies, and best practices</strong> for SharePoint usage</li><li>Provide <strong>coaching and training to internal users</strong> on SharePoint functionality and compliance standards</li><li>Collaborate with internal IT teams and stakeholders to improve SharePoint usability and security</li></ul>
<p>We are looking for an experienced Senior Systems Administrator to join our team on a long-term contract basis in Fort Mill, South Carolina. This role is ideal for someone with strong technical expertise who thrives in managing and maintaining enterprise-level systems and software. The successful candidate will play a critical role in ensuring smooth operations across multiple locations while supporting approximately 400 users.</p><p><br></p><p>Responsibilities:</p><p>• Manage and maintain Active Directory environments to ensure security and efficiency.</p><p>• Oversee the administration of Microsoft Windows Server systems, ensuring optimal performance.</p><p>• Provide support and troubleshooting for Microsoft Windows 10 across the organization.</p><p>• Collaborate with teams to implement and manage Microsoft 365 Enterprise solutions.</p><p>• Administer Citrix technologies to enhance user experience and system functionality.</p><p>• Work closely with marketing teams to facilitate workflows and improve system processes.</p><p>• Migrate file shares to SharePoint Online and oversee its integration across the organization.</p><p>• Ensure seamless operation of Dell Technologies hardware and software.</p><p>• Support users across 22 locations, providing remote assistance as needed.</p><p>• Conduct regular system updates and maintenance to minimize downtime.</p>
We are looking for an experienced Systems Security Administrator to join our team on a contract basis in Schaumburg, Illinois. In this role, you will focus on enhancing and maintaining identity and access management solutions, ensuring seamless integration and security across multiple platforms. The ideal candidate will have a strong technical background with hands-on experience in identity governance, system integration, and automation.<br><br>Responsibilities:<br>• Design, configure, and maintain Microsoft Entra ID tenants, implementing Single Sign-On (SSO) and Multi-Factor Authentication (MFA) to secure application access.<br>• Manage the integration between Okta and Microsoft Entra ID, configuring Okta as an external identity provider and handling federated identity provisioning.<br>• Configure and automate user provisioning for enterprise applications, including Slack, using Microsoft Entra ID.<br>• Set up and manage user provisioning between Microsoft Entra ID and Google Cloud/Workspace environments, enabling seamless login with Microsoft credentials.<br>• Develop and enforce Conditional Access Policies to ensure secure access based on user context, device compliance, and risk levels.<br>• Utilize PowerShell, Microsoft Graph API, and Okta workflows to automate user lifecycle management and optimize repetitive tasks.<br>• Troubleshoot complex authentication issues and resolve federation errors between integrated systems.<br>• Document configuration processes and maintain detailed records for system setups and changes.<br>• Provide technical support and act as the escalation point for advanced identity management challenges.<br>• Collaborate with cross-functional teams to implement and refine identity governance strategies.
<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 an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems.<br><br>Responsibilities:<br>• Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming.<br>• Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations.<br>• Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage.<br>• Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs.<br>• Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments.<br>• Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets.<br>• Support continuous integration and deployment processes for Databricks jobs and system configurations.<br>• Ensure high standards of data quality and security across all engineering tasks.<br>• Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability.<br><br>Responsibilities:<br>• Design and implement robust data lake and warehouse architectures to support organizational needs.<br>• Develop efficient ETL pipelines to process and integrate data from multiple sources.<br>• Collaborate with analytics teams to create and refine data models for reporting and visualization.<br>• Monitor and maintain data systems to ensure quality, security, and availability.<br>• Troubleshoot data-related issues and perform in-depth analyses to identify solutions.<br>• Define and manage organizational data assets, including SaaS tools and platforms.<br>• Partner with IT and security teams to meet compliance and governance standards.<br>• Document workflows, pipelines, and architecture for knowledge sharing and long-term use.<br>• Translate business requirements into technical solutions that meet reporting and analytics needs.<br>• Provide guidance and mentorship to team members on data usage and best practices.
We are looking for a skilled Data Engineer to join our logistics team in Lithonia, Georgia. In this role, you will design, construct, and maintain data pipelines and infrastructure to support analytics and operational systems. You will play a key role in enabling data visualization tools, optimizing data processes, and ensuring the accuracy and availability of critical information.<br><br>Responsibilities:<br>• Design and implement data pipelines to efficiently extract, transform, and load data from multiple sources.<br>• Develop and maintain data models and storage solutions to support analytics and reporting needs.<br>• Collaborate with stakeholders to troubleshoot data inconsistencies and resolve technical issues.<br>• Utilize Tableau or Power BI to create meaningful data visualizations that drive business insights.<br>• Write and optimize database procedures, triggers, and other SQL-based functionalities.<br>• Manage and monitor databases to ensure their performance and reliability.<br>• Provide technical guidance to analysts on best practices in data governance and performance optimization.<br>• Participate in cross-functional projects to enhance data accessibility and quality across departments.<br>• Explore and integrate Python-based solutions to enhance data engineering processes.<br>• Assist in training and development related to data availability and analytics tools.
<p>We are looking for a talented Data Engineer to join our team in Fort Lauderdale, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results.<br><br>Responsibilities:<br>• Design and implement robust business intelligence solutions tailored to meet organizational needs.<br>• Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications.<br>• Create and maintain databases and data marts that support analytics and reporting activities.<br>• Develop and optimize ETL processes to efficiently load data into data marts.<br>• Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems.<br>• Recommend and implement governance practices to improve self-service BI and analytics capabilities.<br>• Develop automated data validation checks to maintain data integrity and accuracy.<br>• Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses.<br>• Troubleshoot and debug issues across application and database layers to ensure smooth operations.<br>• Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
<p>Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.</p><p>Full-time position, HYBRID schedule out of their Tampa office.</p><p>Compensation ranging $100-115K depending on experience</p><p>*Medical benefits are also 100% covered after onboarding period*</p><p><br></p><p>Data Engineer (BI/ETL) focused on building and optimizing ETL/ELT pipelines, migrating/cleaning data between internal, vendor, and legacy systems, and improving data quality. SQL is absolutely required, and this role leans heavily into backend data movement — not dashboarding.</p><p><br></p><p><strong>Top Skills Looking For:</strong></p><ul><li>Strong <strong>SQL </strong>(non negotiable)</li><li>Experience designing and maintaining <strong>ETL / ELT pipelines</strong> using frameworks such as <strong>Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems</strong>, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li><strong>Experience moving data across multiple systems</strong></li></ul><p>Description:</p><p>Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.</p><p>• Design and develop BI solutions.</p><p>• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.</p><p>• Model, implement, and maintain databases and data marts to support BI reporting.</p><p>• Develop extract, transform, load (ETL) to support the loading of data into data marts.</p><p>• Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.</p><p>• Perform other related duties as required.</p>
<p>Robert Half is hiring! We are looking for an experienced Data Engineer to join our team in Greenville, South Carolina. This role offers an exciting opportunity to work with modern data technologies, ensuring the efficient operation and optimization of data pipelines and systems. The ideal candidate will bring a strong technical background, leadership skills, and a proactive approach to maintaining and improving data infrastructure.</p><p><br></p><p>Responsibilities:</p><p>• Oversee daily data loads and ensure the smooth operation of data pipelines and related systems.</p><p>• Troubleshoot and resolve issues such as pipeline failures, performance bottlenecks, schema mismatches, and cloud resource disruptions.</p><p>• Conduct root-cause analyses and implement permanent solutions to prevent recurring issues.</p><p>• Maintain and optimize existing data processes, refactoring or retiring outdated workflows as necessary.</p><p>• Design and build scalable data ingestion pipelines using technologies such as Azure Data Factory, Databricks, and Synapse Pipelines.</p><p>• Collaborate with teams to create and improve operational runbooks, monitoring dashboards, and incident response workflows.</p><p>• Develop reusable ingestion patterns for platforms like Guidewire DataHub, InfoCenter, and other business data sources.</p><p>• Lead the implementation of real-time and event-driven data engineering solutions to enable operational insights and automation.</p><p>• Partner with architects to modernize data workloads using advanced frameworks like Delta Lake and Medallion Architecture.</p><p>• Mentor entry-level engineers, enforce coding best practices, and review code to ensure quality and compliance.</p>
<p>IMMEDIATE HIRE NEEDED. Interviews to begin the first week of February. </p><p><br></p><p>We are looking for a skilled Snowflake Marketing Data Engineer to join our team in Tampa, Florida in a hybrid in-office work schedule (2 to 3 days remote per week) preferably, remote candidates may be considered depending of the quality in match. </p><p><br></p><p>In this role, you will be responsible for designing, implementing, and maintaining data solutions that support critical business operations. Your expertise will play a key part in driving data-driven decisions and optimizing performance across various platforms.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain ETL processes to efficiently extract, transform, and load data from multiple sources.</p><p>• Analyze marketing data to uncover insights and support strategic decision-making.</p><p>• Create and manage dashboards and reports using Power BI to visualize data effectively.</p><p>• Integrate and leverage tools like Braze and Google Analytics to enhance data tracking and reporting capabilities.</p><p>• Collaborate with cross-functional teams to ensure the accuracy and reliability of data systems.</p><p>• Optimize database performance and troubleshoot any issues related to data pipelines.</p><p>• Document data workflows and provide training to stakeholders on best practices.</p><p>• Work with cloud-based platforms, such as Snowflake, to store and manage large datasets.</p><p>• Ensure data security and compliance with company policies and standards.</p>
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon.<br>• Collaborate closely with business teams to understand requirements and provide actionable analytics.<br>• Lead the creation of scalable and efficient data solutions tailored to business needs.<br>• Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results.<br>• Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable.<br>• Build robust APIs and ensure their effective implementation.<br>• Utilize Microsoft SQL for database management and optimization.<br>• Provide technical guidance and mentorship to ensure project success.<br>• Troubleshoot and resolve issues related to data workflows and integrations.<br>• Continuously evaluate and improve processes to enhance efficiency and performance.
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals.<br><br>Responsibilities:<br>• Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers.<br>• Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures.<br>• Ensure data security and access through role-based controls and best practices for data sharing.<br>• Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions.<br>• Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets.<br>• Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies.<br>• Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations.<br>• Implement automated workflows and CI/CD processes for seamless deployment of data solutions.<br>• Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation.<br>• Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
<p>I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
<p>The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization.</p><p><br></p><p>Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation.</p><p><br></p><p>This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.</p><p><br></p><p><br></p><p><br></p><p><br></p>
<p>We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>