<p><b>Data Analyst </b></p><p>On-site | Austin, TX | Contract</p><p><br></p><p><strong>Responsiblities:</strong></p><ul><li>Collect, analyze, and interpret large datasets to support business decision‑making</li><li>Develop, maintain, and automate reports, dashboards, and visualizations</li><li>Identify trends, patterns, and insights to drive data‑driven recommendations</li><li>Translate business requirements into clear analytical questions and solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple sources</li><li>Ensure data accuracy, consistency, and integrity across reports and dashboards</li><li>Partner with stakeholders across departments to understand reporting and analytics needs</li><li>Perform ad‑hoc analyses to support strategic initiatives and executive requests</li><li>Document data definitions, metrics, and reporting processes</li><li>Continuously improve data quality, reporting efficiency, and analytical processes</li></ul>
We are looking for a detail-oriented Data Analyst to support data-driven decision-making in New Orleans, Louisiana. This role focuses on transforming raw information into clear reporting, actionable insights, and reliable dashboards for business stakeholders. The ideal candidate is comfortable working across multiple data sources and uses analytical tools to improve visibility into performance and trends.<br><br>Responsibilities:<br>• Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities.<br>• Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way.<br>• Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems.<br>• Analyze operational and business metrics, then translate results into practical recommendations for stakeholders.<br>• Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered.<br>• Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals.<br>• Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed.<br>• Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements.
<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
<p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
<p>We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.</p>
<p>Data Analyst – Enterprise Data & Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping & Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management & Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis & Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration & Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques.</p><p><br></p><p>Responsibilities:</p><p>• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.</p><p>• Perform accurate data entry tasks, ensuring the integrity of numeric information.</p><p>• Develop and maintain Excel formulas to streamline data processing and reporting.</p><p>• Generate detailed reports and dashboards tailored to organizational needs.</p><p>• Collaborate with cross-functional teams to understand data requirements and provide solutions.</p><p>• Ensure data accuracy and troubleshoot discrepancies in large datasets.</p><p>• Provide actionable recommendations based on findings from data analysis.</p><p>• Manage and organize datasets for easy retrieval and future use.</p><p>• Monitor data workflows and suggest improvements to enhance efficiency.</p><p>• Maintain confidentiality and security of sensitive information.</p><p>If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com</p>
<p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>· Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>· Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are looking for a detail-oriented Data Analyst to join a long-established electrical construction organization in New York, New York. This contract position with permanent potential focuses on maintaining accurate financial and operational records while supporting accounts payable, purchasing, and, as needed, payroll-related data tasks. The ideal candidate brings strong data entry accuracy, comfort working with high volumes of information, and the ability to stay organized in a fast-paced office environment.<br><br>Responsibilities:<br>• Enter and update large volumes of financial and purchasing information with a high degree of accuracy and timeliness.<br>• Support accounts payable processing by recording invoice details, verifying entries, and helping maintain organized payment records.<br>• Assist with purchasing documentation by inputting order information, tracking records, and keeping related data current.<br>• Provide additional administrative data support for payroll activities when needed, ensuring information is complete and properly entered.<br>• Review submitted data for inconsistencies or missing details and follow up to help maintain reliable records.<br>• Organize and maintain spreadsheets, databases, and internal files used for reporting and daily operations.<br>• Work closely with accounting and operations staff to ensure information is entered correctly and aligned with business needs.
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
<p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
We are looking for a Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights.<br><br>Responsibilities:<br>• Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments.<br>• Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes.<br>• Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities.<br>• Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality.<br>• Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices.<br>• Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities.<br>• Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments.<br>• Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
We are looking for an experienced Database Developer to support data operations and reporting needs for a Long-term Contract position based in Becker, Minnesota. This role will work closely with teams across the business to deliver reliable database solutions, investigate data issues, and improve the performance of critical SQL Server processes. The ideal candidate brings strong technical judgment, communicates effectively with both business and technical partners, and is comfortable working in a collaborative Agile environment.<br><br>Responsibilities:<br>• Collaborate with business and technical teams to understand data needs, clarify priorities, and deliver practical database solutions that support daily operations.<br>• Act as a go-to resource for Microsoft SQL Server guidance, offering technical insight and recommendations to improve database-related processes and outcomes.<br>• Build and refine complex queries and reporting logic to provide accurate data for recurring reports, ad hoc requests, and business analysis.<br>• Investigate data discrepancies across workflows, validate results, and resolve issues that affect reporting accuracy and operational decision-making.<br>• Develop, test, and maintain stored procedures, views, functions, triggers, and other database objects to support scalable and efficient applications.<br>• Improve existing database code through tuning, refactoring, and indexing strategies that enhance speed, stability, and long-term maintainability.<br>• Troubleshoot locking, blocking, deadlocks, and other SQL Server performance issues using execution plan analysis and resource monitoring.<br>• Participate in Agile team activities such as sprint planning, stand-ups, backlog review, and retrospectives while contributing to documentation and coding standards.
<p>We are looking for a Staff Database Engineer to support the design, migration, and optimization of modern data platforms. This role focuses on moving database workloads into cloud environments, building reliable data pipelines, and enabling scalable access to large and complex datasets for downstream applications. The ideal candidate combines strong hands-on development skills with practical architecture knowledge across NoSQL, in-memory, and AI-oriented data technologies.</p><p><br></p><p>Responsibilities:</p><p>• Lead database migration efforts into AWS-based environments, including planning, execution, and post-migration validation across modern data platforms.</p><p>• Build and maintain data pipelines that process high-volume, complex information and deliver dependable outputs to consuming services and presentation layers.</p><p>• Develop backend solutions using Python to automate database operations, streamline workflows, and improve data movement efficiency.</p><p>• Work with DynamoDB, DocumentDB, and related NoSQL technologies to design scalable data models and support application performance needs.</p><p>• Implement and optimize Redis, ElastiCache, MemoryDB, or similar in-memory data stores, including use cases tied to AI or vector-based workloads.</p><p>• Partner with technical teams to translate architectural goals into practical cloud-based database implementations rather than high-level concepts alone.</p><p>• Support search and data retrieval capabilities through technologies such as Solr and related indexing platforms used in production environments.</p><p>• Create and maintain scripts for automation, deployment, and operational support using shell scripting and other command-line tools as needed.</p>
<p>We are looking for an experienced Database Developer to support data engineering initiatives in Toledo, OH. This Long-term Contract position is ideal for someone who can combine strong database development expertise with practical experience in data quality, governance, and reporting. The role will focus on building reliable data solutions, improving data integrity, and supporting enterprise reporting needs in a complex operational environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain database solutions that support reporting, analytics, and operational data needs.</p><p>• Lead efforts related to consolidating and moving data across retention environments while helping ensure consistency and usability in the target platform.</p><p>• Create, optimize, and troubleshoot ETL workflows to move and transform data efficiently between systems.</p><p>• Write and enhance complex T-SQL queries, stored procedures, and database objects to support application and business requirements.</p><p>• Establish and apply data cleansing practices to improve accuracy, standardization, and overall data reliability.</p><p>• Contribute to data governance activities by helping define rules, controls, and best practices for managing enterprise data assets.</p><p>• Build and support Power BI reporting solutions that provide meaningful insights to business stakeholders.</p><p>• Collaborate with technical and business teams to define data strategy priorities and align development work with long-term goals.</p><p>• Assist with modern data platform initiatives, including work involving Databricks when applicable.</p>
We are looking for an experienced Database Developer to support critical data and software initiatives in North Carolina. This Long-term Contract position is ideal for a detail-oriented individual who can blend database engineering, application development, and integration work to improve operational efficiency and reporting capabilities. The role will contribute to reliable data architecture, scalable automation solutions, and cross-functional technology projects that support enterprise goals.<br><br>Responsibilities:<br>• Design, build, test, and support custom business applications across web, desktop, and connected enterprise platforms.<br>• Create and refine database structures, stored procedures, views, and indexing approaches to strengthen performance, reliability, and data integrity.<br>• Develop and maintain ETL processes and data pipelines that enable dependable reporting, analytics, and downstream system consumption.<br>• Build and document APIs and system integrations, ensuring clear specifications, validation standards, and maintainable technical references.<br>• Support real-time connectivity between industrial systems and business platforms by maintaining interfaces for operational data exchange.<br>• Contribute to enterprise modernization efforts, including application workflows, data movement, and platform integration tied to ongoing system upgrades.<br>• Help expand the use of cloud and low-code technologies to improve automation, business intelligence, and centralized data management.<br>• Provide guidance to less experienced developers while promoting consistent coding practices, database standards, and complete documentation.<br>• Coordinate development priorities with IT leadership and business stakeholders to keep project delivery aligned with organizational objectives.<br>• Apply security best practices across databases and applications, including access management, monitoring, and protection against unauthorized activity.
<p><strong>Data Scientist III (Senior)</strong></p><p><strong>Location: </strong>Hybrid Columbus, OH </p><p><strong>Service Type:</strong> 13 Week Contract to Hire </p><p><strong>Pay: </strong>Available on W2 Basis </p><p><strong>Job Summary</strong></p><p>A leading financial services organization is seeking a skilled and data‑driven <strong>Senior Data Scientist</strong> to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.</p><p>The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.</p><p>This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.</p><p><strong>Team Overview</strong></p><p>This position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as <strong>R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target</strong>. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.</p><p>The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction.</p><p><strong> Key Responsibilities</strong></p><ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
<p>Position: DevOps Engineer (Mobile-First)</p><p>Location: Remote - Full Time | Direct Hire</p><p>Salary: $120,000-149,000 base annual salary + bonus + excellent benefits</p><p>*** 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. ***</p><p><br></p><p>Build It. Ship It. Scale It.</p><p>This is not a maintenance DevOps role.</p><p>We’re building a brand‑new, mobile‑first digital platform inside a well‑established enterprise — and we’re doing it the right way from day one. If you thrive in ambiguity, like shipping real product, and want to work alongside a Senior DevOps Engineer who is setting a very high technical bar, this role is for you.</p><p>You’ll work closely with a rockstar Senior DevOps Engineer to design, build, and evolve modern cloud infrastructure that empowers product engineers to move fast without breaking things. This is a hands‑on role where you’ll have real ownership, not tickets and red tape.</p><p><br></p><p>What You’ll Work On</p><p>• Build and maintain fast, reliable CI/CD pipelines that support frequent releases</p><p>• Help stand up and evolve AWS‑based infrastructure using Infrastructure as Code (Terraform / CloudFormation)</p><p>• Partner with engineers to enable developer self‑service and remove bottlenecks</p><p>• Support containerized workloads (Docker, Kubernetes) with a pragmatic, “don’t‑over‑engineer” mindset</p><p>• Implement monitoring, logging, and alerting to improve visibility and reliability</p><p>• Contribute to security‑first pipelines — vulnerability scanning, guardrails, and best practices</p><p>• Participate in incident response, root cause analysis, and continuous improvement</p><p>• Document standards, patterns, and lessons learned as the platform matures</p><p><br></p><p>The Environment You’re Joining</p><p>• Remote‑first, tight‑knit product and engineering team</p><p>• Startup‑like pace with strong executive backing</p><p>• Greenfield digital platform integrating multiple business domains</p><p>• Mobile‑first mindset with real users and real scale</p><p>• Engineering culture that values ownership, clarity, and collaboration</p><p><br></p><p>What We’re Looking For</p><p>• 3+ years of experience in DevOps, SRE, or infrastructure engineering</p><p>• Hands‑on experience with AWS (EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM)</p><p>• CI/CD experience with tools like GitHub Actions, Jenkins, or similar</p><p>• Familiarity with Infrastructure as Code (Terraform and/or CloudFormation)</p><p>• Exposure to containers and orchestration (Docker, Kubernetes)</p><p>• Scripting skills (Bash, Python, or similar)</p><p>• Foundational understanding of networking, security, and system administration</p><p>• Comfortable working in fast‑moving, ambiguous environments</p><p><br></p><p>If you’re a builder, not a button‑pusher — and you want to grow into a senior‑level DevOps engineer while shipping real product — this is a rare opportunity.</p><p><br></p>
We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards.<br><br>Responsibilities:<br>• Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables.<br>• Consolidate and integrate data from multiple sources to build cohesive reports and dashboards.<br>• Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members.<br>• Ensure data accuracy and consistency through regular audits and quality checks.<br>• Collaborate with team members to enhance data collection processes and implement best practices.<br>• Develop and maintain centralized data repositories for streamlined reporting.<br>• Identify trends and patterns in data to provide actionable insights for organizational improvement.<br>• Train staff on data management tools and techniques to promote consistent and efficient data handling.<br>• Monitor performance indicators to detect discrepancies and recommend corrective actions.<br>• Implement protocols to guarantee data security and compliance with organizational standards.
We are looking for a SQL Developer to join a nonprofit organization in Richfield, Minnesota. In this role, you will contribute to database development, reporting, and application support while helping teams improve business processes and data flow across systems. This position is well suited for someone who combines strong SQL expertise with project coordination skills and a practical approach to solving technical and operational challenges.<br><br>Responsibilities:<br>• Direct project activities from planning through completion, tracking milestones, identifying issues, and communicating progress to stakeholders.<br>• Partner with technical and business teams to organize requirements, support implementation efforts, and ensure a smooth handoff into ongoing support.<br>• Review existing applications and workflows to uncover improvement opportunities and translate business needs into clear technical documentation.<br>• Create, optimize, and maintain SQL queries, database views, and stored procedures to support operational and reporting needs.<br>• Provide technical assistance for database-related issues and help maintain reliable performance across supported systems.<br>• Build and support data integration processes, including ETL workflows that move and transform information between platforms.<br>• Develop reports, dashboards, and business intelligence outputs that enable informed decision-making across the organization.<br>• Contribute to system enhancement initiatives and support process changes as needed, including occasional travel for work-related activities.
<p>We’re seeking a skilled Database Developer to join a dynamic team based in Jacksonville, Florida. This contract role—with the potential to convert to a long-term position—offers the opportunity to design, build, and optimize database solutions while collaborating closely with cross‑functional teams. The ideal candidate is passionate about database architecture, performance, and delivering high‑quality, scalable solutions.</p><p><br></p><p>Key Responsibilities:</p><p>Design and implement robust database architectures and system-level interfaces</p><p>Provide technical leadership in database architecture, design, and development best practices</p><p>Develop, enhance, and maintain complex database structures within Microsoft SQL Server environments</p><p>Partner with application development teams to ensure alignment with database standards and performance goals</p><p>Create, review, and maintain technical documentation, including system designs and specifications</p><p>Leverage modern tools and techniques to improve development efficiency and support project objectives</p><p>Deliver solutions using agile methodologies, ensuring on-time and high-quality outcomes</p><p>Optimize database performance through efficient queries, indexing, and stored procedures</p><p>Support integration, testing, and deployment activities to ensure smooth project execution</p>
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>