Position: Database Platform Engineer<br>Location: Remote - Full Time | Direct Hire<br>Salary: $140,000 - 164,000 base + excellent benefits<br><br>*** 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. ***<br><br>This is not a traditional DBA. This is a:<br> Cloud‑native database platform engineer + architect + automation leader<br>Core Focus Areas<br> • AWS‑first database architecture (RDS, Aurora, PostgreSQL, DynamoDB, Redshift)<br> • Legacy → cloud modernization<br> • Microservice‑aligned data modeling & DDD<br> • Performance, HA, DR, global resiliency<br> • Event‑driven data, CDC, real‑time streaming<br> • Infrastructure as Code & CI/CD for databases<br> • Security, governance, compliance at scale<br> • Enablement of product & engineering teams<br>What Makes This Role Special<br> • Embedded in a 0→1 product launch<br> • Think start-up like feel in a Fortune 500 financial sound and thriving organization<br> • Works directly with: <br> ○ Product Engineers<br> ○ Platform / DevOps<br> ○ Data Integration<br> • Owns foundational data platform standards<br> • Shapes how databases are built from day one<br> • AWS preferred even though enterprise is Azure<br>Reporting Line<br> • Reports to Sr Manager of Data Engineering & Integration<br> • No direct reports (but strong mentorship & tremendous opportunities for advancement)<br><br>*** 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. ***
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. <br> 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
We are looking for an experienced Database Developer to support data operations and reporting needs for a Long-term Contract position based in Becker, Minnesota. This role will work closely with teams across the business to deliver reliable database solutions, investigate data issues, and improve the performance of critical SQL Server processes. The ideal candidate brings strong technical judgment, communicates effectively with both business and technical partners, and is comfortable working in a collaborative Agile environment.<br><br>Responsibilities:<br>• Collaborate with business and technical teams to understand data needs, clarify priorities, and deliver practical database solutions that support daily operations.<br>• Act as a go-to resource for Microsoft SQL Server guidance, offering technical insight and recommendations to improve database-related processes and outcomes.<br>• Build and refine complex queries and reporting logic to provide accurate data for recurring reports, ad hoc requests, and business analysis.<br>• Investigate data discrepancies across workflows, validate results, and resolve issues that affect reporting accuracy and operational decision-making.<br>• Develop, test, and maintain stored procedures, views, functions, triggers, and other database objects to support scalable and efficient applications.<br>• Improve existing database code through tuning, refactoring, and indexing strategies that enhance speed, stability, and long-term maintainability.<br>• Troubleshoot locking, blocking, deadlocks, and other SQL Server performance issues using execution plan analysis and resource monitoring.<br>• Participate in Agile team activities such as sprint planning, stand-ups, backlog review, and retrospectives while contributing to documentation and coding standards.
<p>We are looking for a Staff Database Engineer to support the design, migration, and optimization of modern data platforms. This role focuses on moving database workloads into cloud environments, building reliable data pipelines, and enabling scalable access to large and complex datasets for downstream applications. The ideal candidate combines strong hands-on development skills with practical architecture knowledge across NoSQL, in-memory, and AI-oriented data technologies.</p><p><br></p><p>Responsibilities:</p><p>• Lead database migration efforts into AWS-based environments, including planning, execution, and post-migration validation across modern data platforms.</p><p>• Build and maintain data pipelines that process high-volume, complex information and deliver dependable outputs to consuming services and presentation layers.</p><p>• Develop backend solutions using Python to automate database operations, streamline workflows, and improve data movement efficiency.</p><p>• Work with DynamoDB, DocumentDB, and related NoSQL technologies to design scalable data models and support application performance needs.</p><p>• Implement and optimize Redis, ElastiCache, MemoryDB, or similar in-memory data stores, including use cases tied to AI or vector-based workloads.</p><p>• Partner with technical teams to translate architectural goals into practical cloud-based database implementations rather than high-level concepts alone.</p><p>• Support search and data retrieval capabilities through technologies such as Solr and related indexing platforms used in production environments.</p><p>• Create and maintain scripts for automation, deployment, and operational support using shell scripting and other command-line tools as needed.</p>
<p>We are looking for an experienced Database Developer to support data engineering initiatives in Toledo, OH. This Long-term Contract position is ideal for someone who can combine strong database development expertise with practical experience in data quality, governance, and reporting. The role will focus on building reliable data solutions, improving data integrity, and supporting enterprise reporting needs in a complex operational environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain database solutions that support reporting, analytics, and operational data needs.</p><p>• Lead efforts related to consolidating and moving data across retention environments while helping ensure consistency and usability in the target platform.</p><p>• Create, optimize, and troubleshoot ETL workflows to move and transform data efficiently between systems.</p><p>• Write and enhance complex T-SQL queries, stored procedures, and database objects to support application and business requirements.</p><p>• Establish and apply data cleansing practices to improve accuracy, standardization, and overall data reliability.</p><p>• Contribute to data governance activities by helping define rules, controls, and best practices for managing enterprise data assets.</p><p>• Build and support Power BI reporting solutions that provide meaningful insights to business stakeholders.</p><p>• Collaborate with technical and business teams to define data strategy priorities and align development work with long-term goals.</p><p>• Assist with modern data platform initiatives, including work involving Databricks when applicable.</p>
We are looking for an experienced Database Developer to support critical data and software initiatives in North Carolina. This Long-term Contract position is ideal for a detail-oriented individual who can blend database engineering, application development, and integration work to improve operational efficiency and reporting capabilities. The role will contribute to reliable data architecture, scalable automation solutions, and cross-functional technology projects that support enterprise goals.<br><br>Responsibilities:<br>• Design, build, test, and support custom business applications across web, desktop, and connected enterprise platforms.<br>• Create and refine database structures, stored procedures, views, and indexing approaches to strengthen performance, reliability, and data integrity.<br>• Develop and maintain ETL processes and data pipelines that enable dependable reporting, analytics, and downstream system consumption.<br>• Build and document APIs and system integrations, ensuring clear specifications, validation standards, and maintainable technical references.<br>• Support real-time connectivity between industrial systems and business platforms by maintaining interfaces for operational data exchange.<br>• Contribute to enterprise modernization efforts, including application workflows, data movement, and platform integration tied to ongoing system upgrades.<br>• Help expand the use of cloud and low-code technologies to improve automation, business intelligence, and centralized data management.<br>• Provide guidance to less experienced developers while promoting consistent coding practices, database standards, and complete documentation.<br>• Coordinate development priorities with IT leadership and business stakeholders to keep project delivery aligned with organizational objectives.<br>• Apply security best practices across databases and applications, including access management, monitoring, and protection against unauthorized activity.
<p>We are seeking a highly skilled Full Stack Data Engineer who thrives in building modern, scalable data platforms from the ground up. This is an opportunity to work on a cloud-native data stack, influence architecture decisions, and deliver solutions that directly power business insights and operations.</p><p>If you enjoy owning the full lifecycle—from data ingestion to application layer—this role will be a strong fit.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>You will operate as a hands-on engineer across the full data stack:</p><ul><li>Design, build, and maintain scalable ELT pipelines and workflows</li><li>Develop and optimize data models and warehouse structures in Snowflake</li><li>Build full stack data applications and backend services</li><li>Write clean, efficient Python and SQL code</li><li>Develop reusable data frameworks and components</li><li>Implement automated testing for data quality and reliability</li><li>Build and maintain CI/CD pipelines (GitHub-based)</li><li>Create reporting and visualization solutions (Power BI or similar)</li><li>Monitor production systems and troubleshoot data issues proactively</li></ul><p><strong>Tech Stack</strong></p><ul><li>Data Platform: Snowflake</li><li>Languages: Python, SQL</li><li>Cloud: AWS / Azure / GCP (environment dependent)</li><li>DevOps: GitHub, CI/CD pipelines</li><li>Visualization: Power BI (or similar BI tools)</li></ul>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
We are looking for a skilled Data Analytics Engineer with deep expertise in Power BI to join our team in Ankeny, Iowa. In this role, you will design, optimize, and manage semantic data models while ensuring the seamless performance of business intelligence tools. Your contributions will help drive data-driven decision-making across the organization.<br><br>Responsibilities:<br>• Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs.<br>• Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution.<br>• Utilize Power Query (M) to transform and manipulate data for reporting purposes.<br>• Configure and enforce row-level security within Power BI to safeguard sensitive data.<br>• Conduct performance tuning for Power BI, including query plan optimization and refresh strategies.<br>• Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights.<br>• Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management.<br>• Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures.<br>• Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets.<br>• Implement CI/CD patterns to manage semantic models and facilitate environment promotions.
<p>We are looking for an experienced Data/Information Architect to join an engagement based onsite in San Antonio, Texas. In this role, you will lead the design of a modern Power BI reporting environment and help replace fragmented legacy reporting methods with a scalable, well-governed analytics solution. This position is ideal for someone who combines hands-on technical depth with strong stakeholder partnership and a practical approach to enterprise reporting strategy.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate existing reporting tools, dashboards, databases, spreadsheets, and query-based outputs to understand the current analytics landscape and identify improvement opportunities.</p><p>• Work with business partners to capture reporting needs, key metrics, usage trends, and priorities that will shape the target-state solution.</p><p>• Define the overall Power BI architecture, including dataset strategy, semantic model structure, environment setup, and deployment approach.</p><p>• Build efficient data models and reusable calculations that support scalable reporting, strong usability, and consistent business logic.</p><p>• Integrate data from multiple enterprise and file-based sources while replacing manual transformation steps with streamlined Power Query processes.</p><p>• Redevelop high-priority legacy reports in Power BI, improving performance, usability, and governance while reducing reliance on spreadsheets and standalone databases.</p><p>• Apply security, access controls, and governance standards across datasets, reports, and workspaces to support compliance and clear ownership.</p><p>• Tune model performance, refresh behavior, and query efficiency to ensure reliable reporting for business-critical use cases.</p><p>• Produce clear technical documentation and provide knowledge transfer to internal teams, including recommendations for future enhancements after the engagement ends</p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment.<br><br>Responsibilities:<br>• Maintain accurate product, vendor, store, and employee records across internal databases and business systems.<br>• Set up new item information for merchandising teams and update existing records to reflect current business needs.<br>• Review promotional data and offers carefully, identifying inconsistencies and making corrections before release.<br>• Examine data across multiple applications to verify completeness, consistency, and overall quality standards.<br>• Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed.<br>• Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices.<br>• Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results.<br>• Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p><strong>Data Engineer (Python / AWS)</strong></p><p><strong>Location:</strong> Remote (Northeast / Greater Boston area preferred)</p><p><strong>Type:</strong> Full-Time</p><p><strong>Level:</strong> Mid-to-Senior Individual Contributor</p><p><strong>About the Role</strong></p><p>We are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.</p><p>This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.</p><p>This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul><p><br></p>
<p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The 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.</p><p>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.</p><p><strong>Key Responsibilities</strong></p><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>
<p><strong>Data Scientist III (Senior)</strong></p><p><strong>Location: </strong>Hybrid Columbus, OH </p><p><strong>Service Type:</strong> 13 Week Contract to Hire </p><p><strong>Pay: </strong>Available on W2 Basis </p><p><strong>Job Summary</strong></p><p>A leading financial services organization is seeking a skilled and data‑driven <strong>Senior Data Scientist</strong> 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.</p><p>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.</p><p>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.</p><p><strong>Team Overview</strong></p><p>This position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as <strong>R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target</strong>. 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.</p><p>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.</p><p><strong> Key Responsibilities</strong></p><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>
<p>We are looking for an experienced and detail-oriented Senior Data Engineer to join our team on a long-term contract basis. In this role, you will focus on identifying and resolving data integrity issues across enterprise systems to ensure the accuracy and reliability of critical data. This position is based in Cleveland, Ohio, and requires hands-on expertise with data analysis, remediation, and automation tools.</p><p><br></p><p>Responsibilities:</p><p>• Investigate and analyze data inconsistencies and errors across enterprise systems.</p><p>• Perform root cause analysis to identify the source of data integrity issues.</p><p>• Develop and execute scripts to remediate corrupted, missing, or misaligned data.</p><p>• Collaborate with integration and platform teams to implement preventative measures for recurring data problems.</p><p>• Design and implement data validation processes, monitoring systems, and quality controls.</p><p>• Utilize AI-assisted analytics to enhance anomaly detection and streamline remediation workflows.</p><p>• Write and optimize complex SQL queries to support data reconciliation efforts.</p><p>• Contribute to long-term improvements in enterprise data quality and processes.</p><p>• Work directly with production data to ensure accuracy and reliability.</p>
We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration.<br><br>The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms.<br><br>Key Responsibilities<br><br>Design, build, and maintain data pipelines within Google Cloud Platform (GCP)<br><br>Develop event-driven data streaming solutions using Pub/Sub<br><br>Build and maintain Python-based services using Cloud Run<br><br>Develop and optimize BigQuery datasets and queries<br><br>Integrate new data sources into the enterprise data platform<br><br>Maintain and support existing ETL processes within SQL Server<br><br>Work with SSIS and stored procedures in legacy data environments<br><br>Monitor, troubleshoot, and optimize data pipeline performance<br><br>Collaborate with engineering teams to support data-driven initiatives<br><br>Participate in on-call rotations for production systems<br><br>Required Qualifications<br><br>5+ years of experience in Data Engineering<br><br>Strong experience with Google Cloud Platform (GCP)<br><br>Experience building data pipelines and ETL processes<br><br>Experience with Pub/Sub or event-driven data streaming<br><br>Strong experience with BigQuery<br><br>Proficiency in Python<br><br>Experience with Cloud Run or similar serverless services<br><br>Strong SQL experience including SQL Server<br><br>Experience with SSIS or similar ETL tools
We are looking for a Database Administrator to support the reliability, security, and performance of critical database environments in Houston, Texas. This role focuses on managing SQL-based systems, improving database efficiency, and ensuring data platforms remain stable for day-to-day business operations. The ideal candidate brings strong technical depth across Microsoft SQL Server, Azure SQL Database, and MySQL, along with a proactive approach to optimization and issue resolution.<br><br>Responsibilities:<br>• Administer and maintain database platforms to ensure consistent availability, security, and operational stability.<br>• Monitor system health and investigate performance bottlenecks across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Optimize queries, indexing strategies, and database configurations to improve response times and overall efficiency.<br>• Implement backup, recovery, and disaster preparedness procedures to protect business-critical data.<br>• Troubleshoot database incidents, identify root causes, and deliver timely resolutions to minimize service disruption.<br>• Support database deployments, upgrades, and configuration changes while maintaining data integrity and system reliability.<br>• Partner with application, infrastructure, and support teams to align database solutions with operational needs.<br>• Maintain documentation for database architecture, maintenance activities, and support procedures.<br>• Apply security best practices, including access management and compliance controls, across database environments.
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a Database Administrator<strong> (contract).</strong> In this role, you will operate with limited supervision as part of an internal Data & Analytics team, supporting enterprise business intelligence initiatives that transform raw data into actionable insights for both internal and external stakeholders. The position is responsible for designing and delivering reporting solutions, including data modeling, data integration, metadata management, and the development of static, interactive, and subscription-based reports and dashboards. <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and maintain data infrastructure that enables secure access to curated data sets for approved users.</li><li>Identify and integrate internal and external data sources by collaborating with business and technical subject matter experts to understand data structures, usage needs, and reporting requirements.</li><li>Administer and support SQL Server environments, including database maintenance, performance tuning, upgrades, and issue resolution.</li><li>Contribute to the design, maintenance, and evolution of conceptual and logical enterprise data models supporting data warehouse, data mart, and OLAP solutions.</li><li>Develop and maintain database solutions to support data storage, retrieval, and analytics use cases.</li><li>Own and support the full data pipeline, from ingesting raw data through transformation and integration into data warehouses, operational data stores, and reporting platforms.</li><li>Lead or support data migrations from legacy platforms to modern data solutions.</li><li>Design, build, test, deploy, and maintain ETL/ELT pipelines across development and production environments, including requirements gathering, data analysis, validation, and release management.</li><li>Translate business needs into technical data and system requirements, ensuring alignment between business processes and analytics solutions.</li><li>Partner with stakeholders to determine which data elements deliver the greatest business value and ensure those metrics are accurately represented in dashboards and reports.</li><li>Design and maintain presentation-layer objects that enable intuitive reporting and support self-service analytics through enterprise BI tools or connectors.</li><li>Perform ongoing database administration, including patching, upgrades, monitoring, and performance optimization.</li><li>Analyze business requirements independently or in collaboration with business systems or BI analysts and produce detailed technical specifications.</li><li>Act as a data subject matter expert, promoting data-driven decision-making and integrating analytics into existing or evolving business processes.</li></ul>
We are looking for a skilled Database Administrator to join our team in Springdale, Arkansas. In this long-term contract position, you will play a key role in managing, optimizing, and maintaining data systems that support operational decision-making and reporting. This role involves collaborating with stakeholders to create effective database solutions and ensuring the integrity and performance of data pipelines.<br><br>Responsibilities:<br>• Develop, optimize, and maintain complex SQL queries and stored procedures for production and reporting databases.<br>• Design and implement ETL processes to extract, transform, and load data from various business systems.<br>• Work closely with stakeholders to translate business requirements into reliable and repeatable reporting solutions.<br>• Diagnose and resolve data integrity issues, performing root cause analysis to prevent recurrence.<br>• Enhance database performance through tuning and indexing strategies.<br>• Create and maintain documentation for data models, query logic, and reporting workflows.<br>• Assist in data migration efforts during system transitions, including support for SAP S/4HANA integration.<br>• Troubleshoot database-related issues and provide technical support to users.<br>• Collaborate with cross-functional teams to improve data accessibility and usability.<br>• Ensure compliance with data security and governance standards.
We are looking for a skilled Database Administrator to join our team in West Palm Beach, Florida. In this role, you will be responsible for managing, maintaining, and optimizing database systems to ensure their reliability and performance. The ideal candidate will have expertise in database technologies and a strong commitment to delivering efficient data solutions.<br><br>Responsibilities:<br>• Administer and maintain database systems to ensure data integrity and optimal performance.<br>• Monitor database activities to identify and resolve issues quickly.<br>• Develop and implement backup and recovery strategies to safeguard data.<br>• Optimize database queries and structures for improved efficiency.<br>• Collaborate with team members to design and implement database solutions.<br>• Perform regular updates and patches to keep database systems secure.<br>• Create detailed documentation for database configurations and processes.<br>• Analyze data trends to provide actionable insights for business operations.<br>• Ensure compliance with data security and privacy regulations.<br>• Provide technical support to resolve database-related issues.
We are looking for an experienced Database Administrator to join our team in San Antonio, Texas. This is a contract position with the potential for a permanent role that requires strong expertise in managing and optimizing database systems, including Microsoft SQL Server and Oracle. The ideal candidate will play a key role in ensuring database performance, security, and reliability while actively contributing to team projects and development initiatives.<br><br>Responsibilities:<br>• Install, configure, upgrade, and troubleshoot Microsoft SQL Server and Oracle databases on both physical and virtual servers.<br>• Optimize database performance, ensuring high availability, scalability, and security.<br>• Manage multiple databases, monitoring hardware and software resource utilization to maintain efficiency.<br>• Document database procedures and provide training to technical teams and end users as required.<br>• Collaborate with project teams and work groups to support development efforts and implement database solutions.<br>• Perform database migrations and upgrades, ensuring a seamless transition and minimal disruption.<br>• Analyze system requirements and recommend database solutions to meet organizational needs.<br>• Conduct regular performance tuning and maintenance tasks to enhance database operations.<br>• Ensure compliance with data governance policies and industry best practices.<br>• Provide technical expertise for troubleshooting and resolving database-related issues.
<p><strong>Database Administrator</strong></p><p>On-site | Austin, TX | Contract</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Install, configure, manage, and maintain database systems in on‑prem, cloud, or hybrid environments</li><li>Ensure database performance, availability, reliability, and scalability</li><li>Monitor databases and troubleshoot performance, capacity, and connectivity issues</li><li>Manage database security, user access, roles, and permissions</li><li>Perform database backups, restores, and disaster recovery planning</li><li>Optimize queries, indexes, and database structures for performance and efficiency</li><li>Apply patches, upgrades, and version updates with minimal downtime</li><li>Implement data integrity, consistency, and quality standards</li><li>Collaborate with developers, data engineers, and infrastructure teams to support applications</li><li>Create and maintain documentation for database configurations, procedures, and standards</li></ul>