204 Results for Web Developer Jobs

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Web Lead

Plymouth Meeting, PA
onsite
Temporary to Hire
50 - 60 USD / Hourly
Robert Half has a client seeking a Web Lead commutable to Montgomery County, PA 3x a week. This candidate will manage the development side of a growing Digital Experience practice within a fast-paced agency environment. This individual will serve as the technical lead across web engagements, partnering closely with strategy, UX/design, project management, and leadership teams to drive scalable, high-quality digital solutions for clients. Responsibilities include:<ul><li>Leading technical architecture and implementation planning across digital projects </li><li>Managing development workflows, standards, timelines, and technical delivery </li><li>Partnering with Project Management on estimating, scoping, and resourcing </li><li>Reviewing code for quality, accessibility, security, scalability, and maintainability </li><li>Acting as a client-facing technical advisor during discovery, planning, and execution phases </li><li>Mentoring developers and helping improve operational efficiency across the digital team </li><li>Collaborating cross-functionally with strategy, UX/design, and account teams to deliver cohesive digital experiences </li><li>Identifying faster, smarter, and more scalable technical solutions across engagements </li></ul>
2026-09-11T00:00:00Z

Forward-Deployed Software Engineer

King of Prussia, PA
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions. Responsibilities: • Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams. • Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations. • Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements. • Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions. • Develop and release product enhancements driven by customer needs while maintaining quality and system stability. • Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives. • Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance. • Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.
2026-09-24T00:00:00Z

Sr. Software Engineer (.NET Ecosystem)

Teaneck, NJ
remote
Permanent / Full Time
165000 - 195000 USD / Yearly
Our team is seeking a Senior Software Engineer to play a crucial role in advancing our core healthcare IT systems through the development of scalable and secure software solutions. As a senior individual contributor, this position involves working closely with other engineering team leaders to architect robust backend systems, guide technical direction, and enhance software delivery processes. *** US Citizen or Permanent Green Card holder currently residing in the US only ... No exceptions *** Keys to the Role:<ul><li>Deep understanding of the .net ecosystem</li><li>Experience with distributed systems</li><li>Experience with high volume throughput</li><li>Performance analysis</li><li>Experience troubleshooting an enterprise level application</li></ul>Essential Functions: <ol><li>Take a technical leadership role in building and scaling national-scale healthcare data exchange systems</li><li>Deliver extremely reliable, scalable, and observable software capable of supporting massive transaction volumes</li><li>Lead architecture and implementation of highly scalable, API-driven systems powering healthcare data exchange at scale</li><li>Provide practical, balanced technical guidance—considering both engineering best practices and business priorities</li><li>Guide design decisions on fault tolerance, throughput optimization, and system resilience</li><li>Contribute to CI/CD pipeline improvements to maintain quality while accelerating delivery</li><li>Collaborate with product and implementation teams to shape technical execution</li><li>Document technical designs, workflows, and release notes for cross-team and customer consumption</li><li>Participate in and lead design and code reviews</li><li>Mentor engineers through pairing, design discussions, and pull request feedback</li></ol>
2026-09-03T00:00:00Z

Lead Developer Analyst

Miami, FL
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Lead Developer Analyst to drive the design and delivery of modern software solutions in Miami, Florida. This role combines hands-on development with technical leadership, helping teams build reliable applications and improve delivery quality across the development lifecycle. The ideal candidate brings strong experience with .NET technologies, C#, and Blazor, along with the ability to guide best practices in a collaborative Agile environment. Responsibilities: • Lead the architecture, development, and enhancement of web applications using C#, ASP.NET, and Blazor. • Partner with cross-functional stakeholders to translate business needs into scalable technical solutions and actionable development plans. • Build and maintain backend services and APIs that support secure, high-performing application functionality. • Oversee code quality through reviews, debugging, and resolution of defects while promoting development standards across the team. • Manage work items, sprint progress, and issue tracking using Jira and GitHub within an Agile Scrum framework. • Support testing and optimization efforts, including experimentation approaches such as A/B testing, to improve product performance and user experience. • Contribute to front-end integration and responsive behavior using web technologies such as Ajax where appropriate. • Mentor developers, provide technical direction, and help remove delivery obstacles throughout the software development lifecycle.
2026-10-02T00:00:00Z

Package Designer

Chatsworth, CA
remote
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for a skilled Package Designer to support contract-based project work for a leading company in the amusement and entertainment space. This Contract position focuses on creating and assembling sample apparel and accessories for dolls and figures, with work tied to short project cycles that arise regularly. The role is based in Chatsworth, California, and is well suited to someone who enjoys hands-on pattern development, sewing, and translating creative concepts into finished physical samples. Responsibilities: • Construct sample garments and accessory prototypes for dolls and figures using supplied fabrics, trims, and reference materials. • Interpret existing physical patterns and assemble accurate samples with strong attention to fit, proportion, and finish. • Develop new pattern pieces when needed, including translating two-dimensional artwork or concept images into workable templates. • Complete short-term assignments efficiently while maintaining quality across recurring freelance project requests. • Prepare finished samples for delivery or return shipment when collaborating remotely with the client team. • Partner with design stakeholders to refine prototype details and ensure each sample reflects intended style and construction. • Perform hands-on sewing and pattern adjustments throughout the sample-making process to support product development.
2026-10-02T00:00:00Z

Package Designer

Woodbridge, NJ
onsite
Temporary / Contract
20 - 25 USD / Hourly
We are looking for a Package Designer to join a collaborative creative team in New Jersey. This Long-term Contract position is ideal for a visually driven designer who enjoys turning ideas into compelling packaging concepts and preparing production-ready files for production. The role calls for someone who can balance creativity with precision while contributing to several active projects in a deadline-oriented environment. Responsibilities:• Develop packaging artwork from early concept development through final production-ready execution.• Partner with designers and cross-functional stakeholders to move multiple assignments forward at the same time.• Create visually engaging design solutions with thoughtful use of color, composition, pattern, and typography.• Prepare and refine files for print production while maintaining accuracy and brand consistency.• Organize project priorities effectively to meet timelines without compromising design quality.• Contribute fresh ideas and creative input during team discussions and project reviews.• Support the broader art department with design updates, revisions, and production-related tasks as needed 02720-0013471465
2026-09-10T00:00:00Z

Software Automation Engineer

Philadelphia, PA
remote
Temporary / Contract
55 - 59 USD / Hourly
Software Automation Engineer IVLocation: Remote, East Coast hours We are seeking a senior-level Automation Engineer IV to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of Python engineering, automation, machine learning, software quality, and AI enablement, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments. Responsibilities:<ul><li>Help operationalize AI and machine learning solutions, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to integrate and deploy AI capabilities.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where AI can improve existing applications, processes, testing, and operational workflows.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul>Design, build, and deploy AI-powered solutions such as:<ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
2026-10-02T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.<ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
2026-10-02T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs. Responsibilities: • Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls. • Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment. • Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model. • Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options. • Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control. • Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations. • Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
2026-09-30T00:00:00Z

Data Engineer

Remote, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance. Responsibilities:• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.
2026-09-30T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent / Full Time
135000 - 160000 USD / Yearly
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. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-09-09T00:00:00Z

Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology. Responsibilities: • Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use. • Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting. • Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability. • Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture. • Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets. • Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
2026-10-01T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-10-01T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization. Responsibilities:• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.
2026-09-30T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-09-09T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 68 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-09-22T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization. Responsibilities: • Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks. • Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas. • Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets. • Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics. • Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards. • Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design. • Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations. • Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
2026-09-09T00:00:00Z

Data Engineer

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-09-23T00:00:00Z

Data Engineer

Woodbury, MN
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment. Responsibilities:• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.
2026-10-02T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms. Responsibilities: • Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use. • Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale. • Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources. • Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery. • Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations. • Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes. • Apply sound data management practices to ensure consistency, usability, and governance across data assets. • Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices. • Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
2026-09-16T00:00:00Z

Data Engineer

Nashville, TN
remote
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to join a collaborative technology team in Nashville, Tennessee, where you will help shape reliable, scalable data solutions that support critical business and healthcare-focused initiatives. This role is ideal for a hands-on builder who enjoys working across technical and business groups to turn complex needs into well-architected platforms and efficient data workflows. You will contribute in an agile setting, partner with stakeholders across the organization, and play a key role in improving data quality, performance, and delivery. Responsibilities: • Build and enhance scalable data pipelines and modular processing frameworks that strengthen business intelligence and analytics capabilities. • Work with cloud and big data technologies to develop, tune, and support high-volume data platforms for enterprise use. • Convert business goals and functional needs into technical plans, while identifying dependencies, constraints, and delivery risks early in the process. • Produce clean, maintainable code and follow disciplined engineering practices for source control, testing, deployment, and documentation. • Partner with internal teams, leadership, and vendors to define requirements and design solutions that align with operational and strategic objectives. • Improve pipeline reliability, system efficiency, and data processing performance through ongoing evaluation and optimization. • Provide guidance to teammates by sharing practical knowledge of modern data engineering methods, tools, and development standards. • Investigate production issues, resolve technical problems, and help maintain the stability and availability of data systems. • Communicate architectural decisions and implementation details clearly to both technical stakeholders and non-technical audiences.
2026-10-01T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-09-09T00:00:00Z

Data Engineer

Battle Creek, MI
onsite
Permanent / Full Time
70000 - 110000 USD / Yearly
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly. Responsibilities: • Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms. • Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities. • Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems. • Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms. • Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs. • Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts. • Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion. • Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage. • Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
2026-09-28T00:00:00Z

Data Engineer

Brookfield, WI
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement. Responsibilities: • Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs. • Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions. • Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth. • Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility. • Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently. • Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed. • Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance. • Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
2026-09-28T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-02T00:00:00Z

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