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9 results for Database Administrator in Dallas, TX

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.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
  • 2026-09-09T00:00:00Z
Data Engineer
  • Coppell, TX
  • onsite
  • Temporary / Contract
  • 45 - 50 USD / Hourly
  • <p><strong>Overview</strong></p><p>We 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.</p><p> </p><p><strong>POSITION: DATA ENGINEER</strong></p><p><strong>LOCATION: DALLAS, TX ONSITE</strong></p><p><strong>DURATION: 6-MONTH CONTRACT-TO-HIRE</strong></p><p> </p><p><strong>RESPONSIBILITIES</strong></p><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
  • 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.<br><br>Responsibilities:<br>• Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools.<br>• Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets.<br>• Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data.<br>• Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns.<br>• Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments.<br>• Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support.<br>• Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments.<br>• Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions.<br>• Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics.<br>• 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.<br><br>Responsibilities:<br>• Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs.<br>• Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability.<br>• Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers.<br>• Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads.<br>• Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively.<br>• Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability.<br>• Optimize processing and query performance to support efficient data delivery at scale.<br>• Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
  • 2026-09-14T00:00:00Z
Data Analyst
  • Dallas, TX
  • onsite
  • Temporary / Contract
  • 60 - 65 USD / Hourly
  • <p><strong>Overview</strong></p><p>We are seeking an experienced Data Analyst to support a large-scale healthcare data and reporting transformation initiative. This role is ideal for a hands-on analyst who is comfortable working with complex datasets, building reports and dashboards, and partnering with business stakeholders to ensure critical reporting remains accurate and available during system transitions. You will play a key role in maintaining reporting continuity, supporting data validation efforts, and delivering actionable insights in a fast-paced environment.</p><p><br></p><p><strong>POSITION: DATA ANALYST</strong></p><p><strong>LOCATION: REMOTE</strong></p><p><strong>DURATION: CONTRACT</strong></p><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><ul><li>Develop, maintain, and enhance reports and dashboards to support business and operational reporting needs.</li><li>Migrate and rebuild reporting assets as data sources and reporting requirements evolve.</li><li>Create and optimize SQL queries to extract, analyze, and validate data from enterprise data warehouse environments.</li><li>Build, maintain, and enhance Power BI reports, dashboards, and semantic data models.</li><li>Analyze reporting requirements and translate business needs into actionable data solutions.</li><li>Validate data accuracy, troubleshoot reporting discrepancies, and partner with technical teams to resolve issues.</li><li>Support data integration, reporting continuity, and analytics initiatives during system and process changes.</li><li>Collaborate with business stakeholders, analysts, and technical teams to prioritize and deliver reporting requests.</li><li>Document report logic, data sources, business rules, and reporting processes.</li><li>Provide analytical support across multiple projects while managing shifting priorities and deadlines.</li></ul>
  • 2026-09-08T00:00:00Z
Data Scientist
  • Dallas, TX
  • 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.<br><br>Responsibilities:<br>• Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals.<br>• Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value.<br>• Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability.<br>• Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives.<br>• Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies.<br>• Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand.<br>• Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement.<br>• Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs.<br>• Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
  • 2026-09-15T00:00:00Z
Payroll Administrator
  • Carrollton, TX
  • onsite
  • Permanent / Full Time
  • 65000 - 90000 USD / Yearly
  • We are looking for an experienced Payroll Administrator to oversee accurate and timely payroll operations for a growing organization in Carrollton, Texas. This position supports a workforce of approximately 500 employees across multiple states and plays a key role in maintaining compliance, data accuracy, and smooth payroll processing. The ideal candidate brings strong full-cycle payroll expertise, attention to detail, and confidence working with commission payments and UKG Pro.<br><br>Responsibilities:<br>• Administer end-to-end bi-weekly payroll for approximately 500 employees working in multiple states, ensuring precision and adherence to deadlines.<br>• Review and validate payroll data, including earnings, deductions, taxes, and adjustments, to maintain accurate employee compensation records.<br>• Process commission payments in alignment with approved compensation plans and payroll schedules.<br>• Maintain compliance with applicable federal, state, and local payroll regulations across a multi-state employee population.<br>• Use UKG Pro to manage payroll activities, audit records, and resolve discrepancies efficiently.<br>• Investigate payroll issues, answer employee questions, and coordinate corrections when needed.<br>• Prepare payroll reports and supporting documentation for internal review, reconciliation, and recordkeeping.<br>• Partner with HR and finance teams to ensure employee changes, compensation updates, and payroll inputs are reflected correctly in each pay cycle.
  • 2026-09-15T00:00:00Z
Payroll Administrator
  • Irving, TX
  • onsite
  • Permanent / Full Time
  • 75000 - 80000 USD / Yearly
  • We are looking for a Payroll Administrator to join our manufacturing team in Irving, Texas. This position is responsible for delivering accurate bi-weekly payroll across multiple states while supporting compliance, reporting, and payroll-related accounting activities. The role works closely with finance, human resources, leadership, and external partners to maintain reliable payroll operations and protect sensitive employee information. This is a fully onsite opportunity for a payroll specialist who can strengthen processes and keep payroll running smoothly.<br><br>Responsibilities:<br>• Manage end-to-end bi-weekly payroll processing for employees in multiple states, ensuring timely and accurate pay distribution.<br>• Maintain payroll data for new hires, departures, compensation updates, tax withholdings, direct deposit changes, garnishments, and benefit deductions.<br>• Review and process variable earnings such as bonuses, commissions, retroactive adjustments, taxable fringe benefits, and off-cycle payments.<br>• Investigate payroll variances, respond to employee inquiries, and resolve tax notices or system-related issues with a high level of accuracy.<br>• Prepare payroll journal entries, account reconciliations, accruals, and recurring reports that support accounting and financial review.<br>• Contribute to month-end, quarter-end, and year-end payroll activities, including annual wage reporting and W-2 preparation.<br>• Oversee payroll compliance activities related to garnishments, payroll taxes, regulatory filings, and workers’ compensation audit support.<br>• Coordinate retirement plan administration, including enrollments, employee contribution activity, loans, distributions, reporting, and audit documentation.<br>• Document payroll procedures, reinforce internal controls, assist with system enhancements, and recommend process improvements where needed.<br>• Provide cross-training and backup support resources to help ensure continuity of payroll operations.
  • 2026-09-16T00:00:00Z
AWS Data Engineer
  • Dallas, TX
  • onsite
  • Permanent / Full Time
  • 105000 - 120000 USD / Yearly
  • <p>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 <strong>building pipelines, orchestration, and cloud infrastructure</strong>, not dashboards or business analysis.</p><p><br></p><p>What You&#39;ll Do</p><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