Add your latest resume to match with open positions.

12 results for Data Engineer in Dallas, TX

Data Engineer

Dallas, Texas
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, Texas
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

Data Engineer

Farmers Branch, Texas
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

Dallas, Texas
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.
2026-09-23T00:00:00Z

Data Scientist

Farmers Branch, Texas
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-09-23T00:00:00Z

Sr Data Engineer

Dallas, Texas
onsite
Permanent / Full Time
140000 - 200000 USD / Yearly
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases. Responsibilities: • Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies. • Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics. • Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts. • Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency. • Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery. • Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices. • Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation. • Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration. • Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals. • Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.
2026-09-12T00:00:00Z

Software Engineer

Plano, Texas
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.
2026-09-23T00:00:00Z

AWS Data Engineer

Dallas, Texas
onsite
Permanent / Full Time
105000 - 120000 USD / Yearly
Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis. What You'll Do<ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>
2026-09-12T00:00:00Z

Systems Engineer

Fort Worth, Texas
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
We are looking for an experienced Systems Engineer to join a dynamic energy organization in Fort Worth, Texas. This position supports a predominantly on-premises infrastructure that underpins essential corporate and field operations, requiring a well-rounded, detail-oriented individual who can navigate networking, systems administration, security, and user support. The ideal candidate brings a hands-on approach, strong technical judgment, and the ability to work effectively with a wide range of stakeholders in a fast-paced environment. Responsibilities: • Manage and resolve issues across Cisco-based network environments, including routing, switching, configuration updates, and failover-related events. • Oversee core Microsoft infrastructure services such as Active Directory, Group Policy, Entra ID, and Intune, ensuring reliable access and system performance. • Administer firewall rules, user access permissions, and infrastructure security settings while supporting policy adjustments and related controls. • Collaborate with office staff and field teams to troubleshoot connectivity, application, and platform issues that impact day-to-day operations. • Maintain and support primarily on-premises systems that serve critical business applications used in energy and field-based environments. • Contribute to vulnerability response efforts, compliance-related activities, access reviews, and formal change management practices. • Provide broad technical coverage across infrastructure domains to strengthen overall team support and continuity. • Work across networking, systems, security, enterprise applications, and end-user support in a versatile engineering capacity.
2026-09-01T00:00:00Z

Systems Engineer

Irving, Texas
onsite
Temporary / Contract
60 - 68 USD / Hourly
This distribution and manufacturing organization is seeking a Systems Engineer to join a growing technology team supporting ERP platform enhancements, cybersecurity initiatives, systems integrations, and enterprise applications. This role will play a key part in an upcoming ERP release, helping drive development, testing, user enablement, and ongoing system improvements across the business. POSITION TITLE: Systems EngineerLOCATION: Irving, TX (Hybrid, 3 days onsite)SALARY: $130,000 - $140,000 RESPONSIBILITIES<ul><li>Support and enhance a proprietary ERP environment, including development, testing, troubleshooting, and user training activities related to upcoming system releases.</li><li>Design, build, and maintain integrations between ERP, enterprise applications, security platforms, and third-party business systems.</li><li>Administer and support Microsoft 365 technologies including Teams, Outlook, OneDrive, SharePoint, Defender, Entra ID, Enterprise Applications, and related services.</li><li>Develop and maintain automation, scripting, and API-based solutions utilizing REST APIs, Microsoft Graph API, Python, and other programming tools.</li><li>Partner with infrastructure and cybersecurity teams to strengthen system security, identity management, endpoint protection, and network integrations.</li><li>Participate in application lifecycle activities including requirements gathering, program flow analysis, SDLC processes, testing, deployment, and production support.</li><li>Provide rotational on-call support approximately one weekend per month and assist with issue resolution across multiple technology domains.</li></ul>
2026-09-25T00:00:00Z

Systems Engineer

Plano, Texas
onsite
Permanent / Full Time
115000 - 140000 USD / Yearly
We are looking for a skilled Systems Engineer to join our team in Plano, Texas. In this role, you will be responsible for managing and maintaining server infrastructure, ensuring system security, and supporting disaster recovery initiatives. The ideal candidate will collaborate with various IT teams and vendors to provide reliable and secure technology solutions in a dynamic and fast-paced environment. Responsibilities: • Provide daily support for servers and systems, including Active Directory, Citrix, Microsoft Exchange, file servers, and other applications. • Coordinate and oversee IT projects, ensuring proper documentation of changes made to server systems. • Manage vendor relationships and supervise outsourced services and projects. • Develop and implement disaster recovery processes and business continuity plans, participating actively in related exercises. • Collaborate with network, systems, and application teams to optimize server hardware, software, and applications. • Monitor and enforce security policies and procedures to maintain system integrity. • Perform preventive maintenance tasks, including upgrades, patch management, and firmware updates. • Support end users and IT staff with technical issues and system improvements. • Monitor and report on security performance metrics, addressing areas of non-compliance and recommending solutions. • Stay informed about changes in IT security regulations and advancements in security technologies.
2026-09-04T00:00:00Z

Business Analyst

Dallas, Texas
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Business Analyst to support business process analysis and documentation efforts for a pharmaceutical environment in Dallas, Texas. This role will work closely with operational, clinical, and technical teams to translate business needs into clear documentation, support data review activities, and contribute to testing and validation work. The ideal candidate is organized, detail-oriented, and comfortable helping bridge communication between stakeholders and delivery teams. Responsibilities: • Gather and organize business needs from stakeholders, turning discussions into clear and usable project documentation. • Prepare user stories, acceptance criteria, and introductory use cases that help teams understand functional expectations. • Create and update process maps, data flow visuals, and business rule records to reflect current operations. • Maintain shared documentation repositories in SharePoint so project materials remain accurate and accessible. • Review data using organizational systems and Excel to identify inconsistencies, perform reconciliations, and confirm expected results. • Partner with senior analysts to refine business definitions and contribute to data dictionary development. • Document end-to-end workflows across the broader ecosystem to improve understanding of how processes and systems connect. • Support meetings with Clinical, Pharma, Operations, and IT stakeholders by capturing notes, tracking open items, and coordinating follow-up actions. • Assist with quality assurance activities by helping build test plans, running test cases, recording defects, verifying corrections, and supporting go-live readiness.
2026-09-16T00:00:00Z