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170 results for Pyh jobs

Data Scientist

St Louis, MO
onsite
Temporary / Contract
60.00 - 90.00 USD / Hourly
Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making. Key Responsibilities:· Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges· Analyze large datasets using statistical methods, data mining, and visualization tools· Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions· Communicate results and recommendations clearly to both technical and non-technical stakeholders· Stay up to date with emerging trends, tools, and technologies in data science and analytics
2026-04-17T19:18:44Z

Automation Engineer

Torrington, CT
onsite
Permanent / Full Time
110000.00 - 160000.00 USD / Yearly
We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.
2026-04-19T14:04:06Z

Software Developer / Data Engineer

Huntsville, AL
remote
Permanent / Full Time
130000.00 - 150000.00 USD / Yearly
A top-tier client of ours is seeking a Software Developer / Data Engineer to play a key role in supporting mission-critical data systems within a government intelligence environment. You’ll design and deliver high-performance data pipelines and architectures that drive advanced analytics and real-time insights. Key Responsibilities Design and implement scalable data pipelines and data architectures Develop and optimize data storage solutions (SQL, NoSQL, graph databases) Support ETL processes and ensure efficient data throughput and performance Work closely with stakeholders to translate data requirements into technical solutions Maintain and enhance data infrastructure using tools like Apache Airflow and Docker
2026-04-23T22:44:05Z

Software Developer

Fort Lauderdale, FL
onsite
Temporary / Contract
- USD / Hourly
Software DeveloperWe are seeking a versatile Software Developer to build, optimize, and support applications across our technology stack. This role is ideal for someone who enjoys writing code, solving problems, and contributing to high-quality software solutions. The ideal candidate will be detail-oriented, collaborative, and eager to grow into more advanced development responsibilities.Responsibilities<ul><li>Develop new software features using modern programming languages and frameworks</li><li>Maintain and enhance existing applications and services</li><li>Write clean, maintainable, well-structured code following best practices</li><li>Collaborate with other developers, QA teams, and product managers</li><li>Build APIs, integrations, and backend services</li><li>Debug application issues, performance problems, and system defects</li><li>Participate in sprint planning, technical discussions, and architecture reviews</li><li>Support deployments through CI/CD tools and version control</li><li>Maintain documentation for code, API endpoints, and application architecture</li></ul>
2026-04-23T19:58:44Z

Linux Support Engineer

Philadelphia, PA
onsite
Temporary / Contract
45.00 - 49.00 USD / Hourly
Linux Support EngineerLocation: Hybrid in Philadelphia, PA (4x/week)Duration: Through 12/31/26, extensions likely This role supports a large-scale distributed access and virtualization-based cable client in a 24/7 operations environment. The engineer will focus on platform stand-up, network and system maintenance, automation, and incident mitigation for virtualized cable technologies deployed nationwide. This is a hands-on operations role requiring strong networking, Linux, and scripting expertise, with participation in an on-call rotation. Responsibilities:<ul><li>Support vCMTS platform stand-up, including software installation, system configuration, and ongoing maintenance</li><li>Execute change implementations such as system upgrades, hardware replacements, and automation initiatives</li><li>Perform network troubleshooting and configuration across virtualized and physical environments</li><li>Identify service-impacting trends and collaborate with development teams on long-term remediation</li><li>Participate in incident mitigation and on-call rotation within a 24/7 operations environment</li><li>Support nationwide VCMTS and RPHY turn-ups while following established operational processes</li><li>Partner with regional engineering teams to improve product reliability and develop automation tools</li><li>Work cross-functionally with Product and Project Management to operationalize new technologies</li></ul>
2026-04-09T17:48:46Z

Data Engineer

Tampa, FL
onsite
Temporary to Hire
- USD / Hourly
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. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-04-22T13:04:50Z

Integration Architect

San Francisco, CA
onsite
Temporary / Contract
85.00 - 100.00 USD / Hourly
We are looking for a Sr. Integration Architect to oversee and deliver complex integration projects with precision and efficiency. This role requires an experienced and detail-oriented individual who thrives in hands-on technical environments and can independently manage tasks, troubleshoot issues, and drive solutions forward. As this is a long-term contract position, candidates should be prepared to take ownership of projects and contribute to process improvement efforts. This is a hybrid (2-3 days) long-term contract position based in San Francisco. Responsibilities:• Lead the design, development, and maintenance of system integrations using Workato.• Automate workflows and enhance manual processes across finance, payroll, human resources, and procurement domains.• Troubleshoot and integrate systems with limited native compatibility, such as NetSuite and Deel.• Transform and clean large data sets retrieved from APIs to ensure accurate reporting.• Manage sensitive data, including payroll and HR-related information, with utmost confidentiality.• Diagnose and resolve system failures, including writing and maintaining custom API calls.• Develop and document integration logic and workflows to improve operational transparency.• Support projects that involve incomplete or inconsistent data sources, ensuring seamless integration.• Evaluate and recommend tools for procurement processes, including alternatives to existing systems.• Collaborate with entry level team members to guide project completion and technical problem-solving.
2026-04-15T18:28:46Z

Data Engineer

Carmel, IN
onsite
Temporary / Contract
- USD / Hourly
We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will design, build, and optimize data pipelines and systems to support business needs. The ideal candidate will bring expertise in data engineering tools and frameworks, along with a passion for solving complex challenges. Responsibilities: • Develop and maintain robust data pipelines using modern frameworks and tools. • Implement ETL processes to ensure accurate and efficient data transformation. • Optimize data storage and retrieval systems for performance and scalability. • Collaborate with cross-functional teams to understand data requirements and deliver solutions. • Utilize Apache Spark and Hadoop for large-scale data processing. • Work with Databricks to streamline data workflows and enhance analytics. • Apply machine learning techniques using tools like scikit-learn and Pandas. • Integrate Kafka for real-time data streaming and processing. • Analyze and troubleshoot data-related issues to ensure system reliability. • Document processes and workflows to support future development and maintenance.
2026-04-14T20:08:46Z

Platform Software Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000.00 - 153000.00 USD / Yearly
Robert Half is seeking a Senior Software Engineer III to join our Platform Engineering team, supporting the infrastructure, platforms, and services that power our applications and ELT/ETL processes. This is a high-impact role within a small, collaborative team, backfilling a recent retirement with an opportunity for knowledge transfer and cross-training. What You’ll Do Design, build, and deploy scalable infrastructure and platform components supporting cloud-native applications Lead development of CI/CD pipelines, infrastructure-as-code (IaC), and automation frameworks Own platform systems end-to-end, ensuring reliability, scalability, and performance Troubleshoot and resolve production issues, including outages, deployment failures, and infrastructure instability Support on-call rotation (every 3 weeks), handling P1 incidents and coordinating with external vendors (e.g., Microsoft) Collaborate across engineering, application, and security teams to improve platform capabilities Mentor entry level engineers, conduct code reviews, and drive engineering best practices Contribute to system design, documentation, and continuous improvement initiatives Work Breakdown 70% project-based work (building and deploying infrastructure) 30% operations/support (maintenance, troubleshooting, production support)
2026-04-13T23:18:44Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50.00 - 55.00 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-04-16T15:48:41Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
- USD / Hourly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers. Responsibilities: • Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka. • Build and maintain efficient ETL processes to ensure seamless data transformation and integration. • Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions. • Optimize and troubleshoot complex data workflows to enhance performance and reliability. • Lead technical discussions and provide architectural guidance for best practices and development standards. • Mentor entry level developers and conduct code reviews to ensure high-quality deliverables. • Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms. • Stay updated with the latest data engineering technologies and proactively recommend improvements. • Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals. • Ensure compliance with security and quality standards through thorough documentation and testing.
2026-04-01T00:04:36Z

Full Stack Developer

Austin, TX
onsite
Temporary to Hire
65.00 - 80.00 USD / Hourly
Full Stack DeveloperOn-site | Austin, TX | Contract-to-Hire Our client is building a modern, AI‑enabled software platform and is seeking a Full Stack Developer who thrives in start-up environments. This is a hands-on role focused on rapidly turning ideas into production-ready software. You will be responsible for building new systems from the ground up, rapidly prototyping, and shipping features at high velocity. You’ll work across frontend, backend, and AI-powered systems with strong ownership and minimal direction. Success in this role requires urgency, independence, and a solutions-oriented mindset. Responsibilities:<ul><li>Design and implement scalable systems while maintaining development speed</li><li>Own projects end-to-end, from concept through deployment</li><li>Work across the stack, including frontend, backend, and AI/ML systems</li><li>Rapidly prototype, test, iterate, and refine new product ideas</li><li>Partner closely with leadership to translate business needs into working software</li><li>Identify and eliminate bottlenecks to improve engineering velocity</li><li>Balance high engineering standards with pragmatism and delivery speed</li><li>Continuously evaluate and apply new technologies to accelerate development</li></ul>
2026-04-16T01:38:41Z

Database Platform Engineer

Eden Prairie, MN
remote
Permanent / Full Time
140000.00 - 164000.00 USD / Yearly
Position: Database Platform Engineer Location: Remote - Full Time | Direct Hire Salary: $140,000 - 164,000 base + excellent benefits *** 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. *** This is not a traditional DBA. This is a: Cloud‑native database platform engineer + architect + automation leader Core Focus Areas • AWS‑first database architecture (RDS, Aurora, PostgreSQL, DynamoDB, Redshift) • Legacy → cloud modernization • Microservice‑aligned data modeling & DDD • Performance, HA, DR, global resiliency • Event‑driven data, CDC, real‑time streaming • Infrastructure as Code & CI/CD for databases • Security, governance, compliance at scale • Enablement of product & engineering teams What Makes This Role Special • Embedded in a 0→1 product launch • Think start-up like feel in a Fortune 500 financial sound and thriving organization • Works directly with: ○ Product Engineers ○ Platform / DevOps ○ Data Integration • Owns foundational data platform standards • Shapes how databases are built from day one • AWS preferred even though enterprise is Azure Reporting Line • Reports to Sr Manager of Data Engineering & Integration • No direct reports (but strong mentorship & tremendous opportunities for advancement) *** 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 one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-04-14T01:08:44Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
66.50 - 77.00 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector. Responsibilities: • Develop and maintain scalable data pipelines to efficiently process large volumes of data. • Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs. • Implement and optimize ETL processes to ensure the accuracy and reliability of data flows. • Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams. • Monitor and troubleshoot data systems to ensure optimal performance and reliability. • Perform data integration from multiple sources to create unified datasets for analysis. • Ensure data security and compliance with organizational and industry standards. • Continuously evaluate and adopt new tools and technologies to enhance data engineering practices. • Provide technical guidance and mentorship to entry-level team members as needed.
2026-04-07T16:23:46Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000.00 - 130000.00 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-04-07T16:58:44Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
- USD / Hourly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply. Responsibilities: • Design, develop, and optimize scalable data pipelines and workflows to support business analytics. • Collaborate with cross-functional teams to gather and analyze data requirements. • Implement ETL processes to extract, transform, and load data from diverse sources. • Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing. • Integrate streaming data systems using Apache Kafka to enhance real-time analytics. • Monitor and troubleshoot data flow and systems to ensure high performance and reliability. • Develop and maintain documentation for data engineering processes and systems. • Ensure data security and integrity across all platforms and processes. • Work closely with stakeholders to translate business needs into technical solutions. • Stay updated with industry trends and emerging technologies to improve data engineering practices.
2026-04-01T00:04:36Z

Data Engineer

Glendale, CA
remote
Temporary / Contract
82.00 - 87.00 USD / Hourly
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-04-03T15:54:06Z

Palantir AI Engineer

New York, NY
remote
Permanent / Full Time
150000.00 - 250000.00 USD / Yearly
We are looking for a skilled Palantir AI Engineer to join our team in New York, New York. In this role, you will leverage your expertise in Palantir Foundry to design and implement advanced data solutions and decision-support systems. This position requires a hands-on approach to building scalable AI-powered applications that address complex business challenges across various industries. Responsibilities: • Design and maintain data integration pipelines using Palantir Foundry tools such as Code Repositories, Transform, and Contour. • Develop and refine ontologies, object models, and workflows to support operational decision-making. • Build full-stack applications utilizing Palantir Foundry’s frameworks, including Slate and Quiver. • Automate processes for data ingestion, transformation, governance, and lineage tracking. • Integrate machine learning models and large language models into Foundry pipelines to enhance decision systems. • Create intelligent workflows that facilitate real-time or near-real-time decision-making. • Collaborate with enterprise users and technical teams to define requirements and develop scalable architectures. • Translate high-level business challenges into actionable engineering solutions. • Lead engineering initiatives through all phases, from design to deployment and iteration. • Provide technical leadership and guidance across data and AI projects.
2026-03-31T13:18:46Z

LLM Programmer

Charlotte, NC
onsite
Temporary / Contract
75.00 - 90.00 USD / Hourly
The LLM Programmer will be responsible for building and optimizing applications that leverage large language models (LLMs) to solve business problems, improve user experiences, and automate complex workflows. You will work closely with engineering, product, and data teams to bring AI-driven features from concept to production.Key Responsibilities<ul><li>Design and develop applications using large language models (e.g., GPT-style systems)</li><li>Build and maintain RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise data with LLMs</li><li>Develop prompt engineering strategies and reusable AI workflows</li><li>Fine-tune or adapt models for domain-specific use cases when needed</li><li>Integrate LLM APIs into production systems and applications</li><li>Optimize performance, latency, cost, and accuracy of AI solutions</li><li>Evaluate model outputs for quality, reliability, and safety</li><li>Collaborate with cross-functional teams to identify and implement AI opportunities</li><li>Stay current with advancements in generative AI and LLM tooling</li></ul>
2026-04-22T15:13:51Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary / Contract
53.00 - 58.00 USD / Hourly
Data Scientist III (Senior)Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job SummaryA leading financial services organization is seeking a skilled and data‑driven Senior Data Scientist 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.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.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.Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. 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.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. Key Responsibilities<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>
2026-04-13T18:34:06Z

Finance Systems AI Transformation Lead

Menlo Park, CA
remote
Temporary / Contract
61.75 - 71.50 USD / Hourly
We are looking for a Finance Systems AI Transformation Lead to join a Long-term Contract opportunity based in Menlo Park, California. This role sits at the intersection of finance and artificial intelligence, with a focus on improving planning, reporting, and close-related activities through practical automation. You will partner with finance and systems teams to turn complex operational processes into scalable AI-enabled solutions that improve accuracy, speed, and decision support. Responsibilities: • Design and implement AI-driven solutions that simplify core finance activities such as forecasting support, variance review, close coordination, allocation workflows, and workforce planning analysis. • Build intelligent, multi-step automations that interpret financial information, interact with connected tools, and produce traceable outputs suitable for business use. • Develop integrations between AI applications and enterprise finance platforms, planning systems, and data environments to support reliable information exchange. • Create data retrieval pipelines that connect large language model capabilities with structured finance data, including reporting histories, ledger structures, cost center details, and planning records. • Establish controls and validation methods that allow automated solutions to read, verify, and update finance-related data with consistency and audit readiness. • Define and execute evaluation approaches to measure solution quality, including output accuracy, stability, explainability, and risk of failure in finance use cases. • Monitor production performance, investigate issues, and refine workflows based on user feedback, testing results, and observed system behavior. • Partner closely with finance stakeholders, financial systems teams, and technical counterparts to convert manual finance processes into scalable AI-supported operations. • Lead user acceptance testing activities and confirm that delivered solutions meet finance, controllership, and audit expectations before broader rollout.
2026-04-22T22:08:43Z

Application Developer

Oakland Park, FL
onsite
Temporary / Contract
- USD / Hourly
We are seeking a skilled Application Developer to design, build, and maintain scalable business applications that support internal operations and customer‑facing systems. This role requires strong hands‑on development experience, sound architectural judgment, and the ability to work collaboratively with cross‑functional teams.Responsibilities<ul><li>Design, develop, test, and maintain web and/or enterprise applications across the full software development lifecycle</li><li>Build clean, scalable, and well‑documented code that aligns with business and technical requirements</li><li>Collaborate with product owners, designers, and stakeholders to translate requirements into technical solutions</li><li>Integrate applications with databases, APIs, and third‑party services</li><li>Troubleshoot, debug, and optimize application performance and reliability</li><li>Participate in code reviews, ensuring quality, security, and adherence to best practices</li><li>Contribute to architecture decisions and technical standards, especially for mid‑to‑large scale applications</li><li>Support application deployments, enhancements, and ongoing maintenance</li></ul>
2026-04-09T12:04:06Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent / Full Time
200000.00 - 250000.00 USD / Yearly
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. Primary Responsibilities:<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>
2026-04-17T15:13:51Z

AI Consultant

Cincinnati, OH
remote
Temporary / Contract
65.00 - 75.00 USD / Hourly
We are looking for an innovative and strategic AI Consultant to lead the development and expansion of AI-driven solutions within our Sales Enablement ecosystem. This position will focus on revolutionizing sales processes through advanced AI applications, enhancing research, prospecting, and proposal creation for the North American Sales team. As a forward-thinking leader, the AI Director will collaborate with cross-functional teams to drive innovation, scalability, and adoption of cutting-edge technologies. This is a long-term contract position. Responsibilities:• Oversee the design and development of a scalable AI ecosystem tailored to the needs of the North American Sales organization.• Implement AI-driven tools to automate key sales tasks, including client research, content creation, and proposal development.• Identify and evaluate new AI use cases, piloting experimental approaches and scaling successful innovations.• Collaborate with enterprise teams to ensure alignment of AI solutions with organizational goals and technology platforms.• Build and manage a global support team to maintain, monitor, and enhance AI systems.• Establish and uphold service-level agreements for AI tools, ensuring reliability and measurable impact.• Lead change management efforts to integrate AI solutions into daily sales workflows, driving user adoption.• Document and share AI workflows, patterns, and architectural frameworks to promote scalability and innovation.• Monitor advancements in AI technologies and introduce cutting-edge techniques to maintain a competitive edge.• Partner with senior stakeholders to align AI strategies with emerging business needs and organizational objectives
2026-04-03T11:53:47Z

Data Analyst

Belgrade, ME
onsite
Temporary / Contract
- USD / Hourly
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies. Responsibilities: • Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems. • Develop and manage Azure-based Data Lakes and associated cloud data services. • Lead large-scale data migration projects from on-premise systems to Azure cloud environments. • Create scalable data models and curated datasets to support business intelligence and reporting. • Ensure data integrity, quality, governance, and security throughout all workflows. • Collaborate with technical and business teams to translate requirements into impactful data solutions. • Optimize data architectures to improve performance and scalability. • Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers. • Monitor and troubleshoot data workflows to ensure seamless operations.
2026-04-01T16:04:47Z

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