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6 results for Java Developer in Plano, TX

Software Engineer

Plano, TX
onsite
Temporary to Hire
63.3365 - 73.337 USD / Hourly
We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment. Responsibilities: • Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability. • Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures. • Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments. • Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability. • Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services. • Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments. • Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers. • Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes. • Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions. • Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
2026-09-11T00:00:00Z

Manager - Software Engineering

Frisco, TX
onsite
Permanent / Full Time
160000 - 190000 USD / Yearly
We are looking for a Software Engineering Manager to lead application development and technology improvement initiatives for our organization in Frisco, Texas. This position oversees engineering delivery, application strategy, and modernization efforts while ensuring solutions support business priorities, security expectations, and regulatory obligations. The role also guides teams in adopting modern development approaches, including AI-enabled tools, to improve quality, efficiency, and long-term scalability. Responsibilities: • Direct end-to-end delivery of custom software, system integrations, automation initiatives, and data-focused applications from planning through ongoing support. • Lead, coach, and develop software engineers and external partners while reinforcing strong technical discipline, collaboration, and continuous improvement. • Establish and enforce standards for solution architecture, coding quality, testing practices, deployment processes, technical documentation, and production reliability. • Introduce and govern AI-assisted development capabilities with appropriate controls for security, compliance, accuracy, and human review. • Manage project priorities, release timelines, enhancement pipelines, budgets, and vendor performance to keep delivery aligned with organizational goals. • Partner with business leaders, infrastructure teams, security stakeholders, compliance groups, and third-party providers to deliver practical and measurable technology outcomes. • Drive application modernization, cloud-connected solutions, platform improvements, and workflow automation initiatives across the software portfolio. • Track software performance, delivery effectiveness, quality indicators, and development productivity metrics to identify risks and advance operational excellence.
2026-08-20T00:00:00Z

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

Dallas, TX
onsite
Permanent / Full Time
145000 - 170000 USD / Yearly
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products. Responsibilities: • Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools. • Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets. • Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data. • Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns. • Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments. • Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support. • Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments. • Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions. • Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. • Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
2026-09-02T00:00:00Z

Data Engineer

Coppell, TX
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-09-11T00:00:00Z

Data Engineer

Coppell, TX
onsite
Temporary / Contract
45 - 50 USD / Hourly
OverviewWe are seeking an experienced Data Engineer to join a growing data team supporting enterprise analytics, reporting, and data science initiatives. This role will focus on supporting and enhancing existing data pipelines while contributing to new development efforts within a modern data environment. The ideal candidate will have strong experience with Databricks, SQL, and Python, along with the ability to partner directly with business stakeholders and translate business requirements into scalable technical solutions. POSITION: DATA ENGINEERLOCATION: DALLAS, TX ONSITEDURATION: 6-MONTH CONTRACT-TO-HIRE RESPONSIBILITIES<ul><li>Develop, support, and enhance ETL and data pipeline solutions.</li><li>Design and build data transformations across Bronze, Silver, and Gold data layers within a Medallion Architecture environment.</li><li>Write, optimize, and troubleshoot complex SQL queries to support reporting, analytics, and operational business needs.</li><li>Develop and maintain data processing solutions using Python and PySpark within Databricks.</li><li>Partner directly with business stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Monitor, troubleshoot, and resolve data pipeline issues while performing root cause analysis.</li><li>Design and maintain data warehouse and database models that support reporting, analytics, and data science initiatives.</li><li>Deliver trusted and certified datasets that power dashboards, self-service analytics, and business reporting.</li><li>Apply best practices related to data quality, testing, monitoring, performance optimization, documentation, and maintainability.</li><li>Collaborate with data engineers, analysts, data scientists, and business teams on strategic initiatives and ongoing support efforts.</li></ul>
2026-09-10T00:00:00Z