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87 results for Database Manager jobs

Database Administrator

Wayne, Pennsylvania
onsite
Temporary to Hire
51.4615 - 59.587 USD / Hourly
We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use. Responsibilities: • Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance. • Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution. • Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures. • Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently. • Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency. • Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools. • Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules. • Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms. • Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
2026-09-11T00:00:00Z

Database Administrator

Houston, Texas
onsite
Temporary / Contract
58.4535 - 67.683 USD / Hourly
We are looking for an experienced Database Administrator to join a Long-term Contract assignment in Houston, Texas. This position will guide database strategy, strengthen operational standards, and provide hands-on mentorship to internal technical staff. The role is well suited for a highly capable individual who can combine architectural insight with practical administration across multiple database platforms. Responsibilities: • Mentor internal database and development team members on administration practices, troubleshooting methods, and sustainable support processes. • Provide architectural guidance for database environments and recommend scalable standards that improve reliability, security, and maintainability. • Partner with the in-house administrator to build technical capability through coaching, knowledge transfer, and documented operating procedures. • Oversee performance analysis and tuning efforts across database platforms to improve efficiency, availability, and query response times. • Support the management of Actian Zen and Microsoft SQL Server environments, including integration points and data movement processes. • Contribute expertise to data warehouse, governance, and broader data platform initiatives as they evolve. • Review existing database operations and establish best practices for backup, recovery, monitoring, and ongoing maintenance. • Advise stakeholders on database design decisions, platform usage, and approaches that align with long-term business needs.
2026-09-16T00:00:00Z

Database Administrator

Cincinnati, Ohio
remote
Temporary / Contract
61.75 - 71.5 USD / Hourly
We are looking for a Database Administrator to support and optimize critical database environments in Cincinnati, Ohio. This Long-term Contract position focuses on maintaining reliable, secure, and high-performing database systems across platforms including Microsoft SQL Server, Azure SQL Database, and MySQL. The ideal candidate will bring strong technical expertise, sound troubleshooting abilities, and a proactive approach to database health, availability, and continuous improvement. Responsibilities: • Administer and maintain database platforms to ensure stability, security, and consistent availability for business operations. • Monitor database performance, investigate bottlenecks, and implement tuning improvements to enhance efficiency and response times. • Manage backup, recovery, and disaster recovery processes to protect data integrity and support business continuity. • Support database deployments, configuration updates, and environment changes while minimizing operational disruption. • Troubleshoot database issues, identify root causes, and resolve incidents affecting performance, connectivity, or reliability. • Partner with technical teams to optimize queries, data structures, and system design for scalable application support. • Oversee user access, permissions, and security controls in alignment with organizational and compliance standards. • Document database configurations, maintenance procedures, and operational best practices for ongoing support and knowledge sharing.
2026-09-16T00:00:00Z

Database Technology Manager

Tempe, Arizona
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are looking for an experienced Database Technology Manager to oversee the stability, security, and performance of enterprise database environments in Tempe, Arizona. This role combines hands-on database administration with team leadership, requiring someone who can guide technical staff, improve operational standards, and communicate clearly with both technical and non-technical stakeholders. The ideal candidate brings strong Microsoft SQL Server expertise, a disciplined approach to backup and recovery planning, and the ability to support reliable database operations in a regulated setting. Responsibilities: • Lead the administration and day-to-day support of production Microsoft SQL Server environments, ensuring high availability, reliability, and consistent performance. • Supervise and mentor technical team members, establish operational standards, and review database-related work for quality and accuracy. • Manage core SQL Server services and features, including instance setup, Always On availability groups, backup and restore processes, SQL Server Agent, and Database Mail. • Develop, maintain, and validate backup and disaster recovery strategies through regular testing and documented recovery procedures. • Analyze database performance issues using execution plans, wait statistics, and tuning techniques to improve efficiency and system responsiveness. • Create and maintain PowerShell-based automation to streamline administrative tasks and reduce manual effort. • Oversee database security controls, permissions, and compliance practices within an audited or regulated environment. • Produce clear technical documentation such as runbooks, incident summaries, and architecture recommendations for a broad audience. • Support upgrade and migration activities across database versions when needed, while minimizing operational disruption. • Participate in on-call support rotations and perform after-hours maintenance to sustain system availability.
2026-09-16T00:00:00Z

Database Developer

Roxbury, Massachusetts
onsite
Temporary / Contract
57 - 66 USD / Hourly
We are looking for a Database Developer to support an education organization in Roxbury, Massachusetts through a Long-term Contract engagement. In this hands-on role, you will focus on developing high-quality SQL solutions, producing dependable reports and data extracts, improving data integrity, and assisting with routine database operations. The position is centered on delivery and execution, with technical guidance provided by data leadership. Success in this role requires strong T-SQL expertise, careful documentation habits, and a disciplined approach to validating work before release. Responsibilities: • Create, refine, and support SQL queries, views, and stored procedures used for operational reporting and recurring data delivery across academic and administrative teams. • Produce scheduled and on-demand reports and data extracts that help departments such as enrollment, financial aid, student accounts, academic affairs, and institutional research make informed decisions. • Investigate data issues by identifying duplicate, missing, or conflicting records, then develop scripts and reconciliation processes to improve overall data accuracy. • Provide support for system integrations by monitoring exception activity, resolving record-matching issues, and reconciling records that do not process successfully between connected platforms. • Develop and maintain data outputs required for regulatory, state, federal, and leadership reporting, ensuring timely and reliable delivery of information. • Apply approved access controls and permission updates while handling sensitive student and financial information in alignment with established privacy and security standards. • Prepare thorough documentation covering query logic, report definitions, data rules, and repeatable operating procedures so knowledge is retained within the institution. • Use AI-assisted development tools to accelerate drafting, reviewing, and refining SQL code and technical documentation, while independently testing and validating all results before production use.
2026-09-18T00:00:00Z

Database Developer

Lehi, Utah
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight. Responsibilities:• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.
2026-09-16T00:00:00Z

Database Admin

Miami, Florida
onsite
Temporary / Contract
0 - 0 USD / Yearly
Database Administrator (DBA)Position OverviewWe are seeking an experienced Database Administrator (DBA) to support the installation, administration, maintenance, performance, and availability of enterprise database environments.This position is responsible for analyzing current and future database requirements, implementing and maintaining Database Management Systems (DBMS), monitoring database performance, and ensuring database environments remain reliable, available, and properly configured.The Database Administrator will work closely with application developers, systems engineers, infrastructure teams, and other technical personnel to support enterprise applications and database-driven systems. The role will also evaluate database software updates and enhancements to determine their impact on existing production systems, applications, development standards, and operating procedures.
2026-09-21T00:00:00Z

Data Engineer

Boston, Massachusetts
remote
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a skilled Data Engineer to join a 100% remote contract to hire position. This role focuses on developing and maintaining data warehouse integration processes, working closely with technical teams and business stakeholders to deliver reliable, high-quality data solutions. The ideal candidate brings deep experience in data transformation, warehouse architecture, and production support, along with a proactive approach to investigating and resolving complex data issues. Responsibilities:• Build, enhance, and maintain data loading and transformation workflows that feed enterprise data warehouse environments and related systems.• Create scalable warehouse integration solutions while producing clear technical documentation and following established engineering standards.• Contribute to data modeling efforts and collaborate with cross-functional teams on reporting structures and warehouse design decisions.• Partner with business stakeholders to understand operational needs and translate them into effective technical approaches and implementation plans.• Review solution quality through testing, validation, and design assessments to ensure dependable performance and efficient processing.• Monitor production data warehouse operations, investigate pipeline failures or data discrepancies, and resolve issues with urgency to reduce business disruption.• Work closely with development, quality assurance, and support teams to help deliver solutions on schedule across the full development lifecycle.• Raise risks, communicate technical concerns, and provide input on specifications to improve solution accuracy and delivery outcomes.
2026-09-16T00:00:00Z

Data Engineer

Kalamazoo, Michigan
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-08-28T00:00:00Z

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

Madison, Wisconsin
remote
Permanent / Full Time
100000 - 140000 USD / Yearly
We're partnering with a team that is expanding its cloud data capabilities and looking for a Data Engineer to help build the foundation that powers analytics, reporting, and data-driven decision making. This role offers the opportunity to work with large, complex datasets while helping improve how data is collected, organized, and delivered across the business. You'll have a direct impact on the performance, reliability, and scalability of modern data platforms operating in cloud environments. What You'll Focus On<ul><li>Building data solutions that make information more accessible, reliable, and usable for analytics and reporting teams.</li><li>Improving how data moves throughout the organization by creating efficient, automated processes that reduce manual effort and increase consistency.</li><li>Supporting large-scale cloud data environments by enhancing performance, troubleshooting issues, and helping maintain platform stability.</li><li>Partnering with technical and non-technical stakeholders to understand business needs and translate them into practical data solutions.</li><li>Developing and refining data models that support operational reporting, business intelligence initiatives, and future growth.</li><li>Working with a variety of data sources and formats to ensure information can be used effectively across multiple teams and applications.</li><li>Helping establish data quality standards through validation, monitoring, and ongoing process improvements.</li></ul>
2026-09-19T00:00:00Z

Data Engineer

Salt Lake City, Utah
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.
2026-09-16T00:00:00Z

Data Engineer

Los Angeles, California
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

St. Paul, Minnesota
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.
2026-09-21T00:00:00Z

Data Engineer

Jacksonville, Florida
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Data Engineer to help advance enterprise reporting, analytics, and data modernization efforts in Jacksonville, Florida. This Long-term Contract position will focus on building reliable data workflows, strengthening data quality, and turning complex information into practical insights for business teams. The role is ideal for someone who enjoys combining data engineering expertise with business intelligence capabilities to create scalable, high-value solutions. Must be located in Jacksonville, FL. Responsibilities:• Build and support end-to-end data integration workflows using Azure Data Factory to move and transform information from multiple business systems.• Improve data reliability by performing validation, cleansing, and quality checks that promote consistency and accuracy across reporting sources.• Create and refine Power BI dashboards, visual reports, and analytics tools that help stakeholders make informed decisions.• Develop efficient data models and structured datasets that meet operational reporting and business intelligence needs.• Investigate pipeline failures, reporting discrepancies, and data issues, then implement timely solutions to restore performance and accuracy.• Partner with business users and cross-functional teams to understand reporting goals and translate them into practical data solutions.• Maintain reporting platforms, databases, and warehouse structures to support ongoing analytics and enterprise data usage.• Write and optimize SQL queries, stored procedures, and automated routines that strengthen reporting and analytical processes.• Document data movement, transformation logic, technical configurations, and business rules to support transparency and maintainability.• Contribute to sound data governance practices by supporting secure, well-managed, and standards-driven data operations.
2026-09-15T00:00:00Z

Data Engineer

Jacksonville, Florida
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

Jacksonville, Florida
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

Atlanta, Georgia
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

Atlanta, Georgia
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-08-21T00:00:00Z

Data Engineer

Appleton, Wisconsin
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.
2026-09-15T00:00:00Z

Data Engineer

Seattle, Washington
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-09-18T00:00:00Z

Data Engineer

Portland, Maine
remote
Permanent / Full Time
88000 - 133000 USD / Yearly
We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery. Responsibilities:• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.• Manage code and workflow changes through version control practices to support traceability and controlled deployment.• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.
2026-09-09T00:00:00Z

Data Engineer

Arlington, Virginia
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities:• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-08-26T00:00:00Z

Data Engineer

Saint Louis, Missouri
remote
Temporary / Contract
50 - 70 USD / Hourly
We are looking for a Data Engineer to support a remote Contract engagement. This role focuses on strengthening device management and compliance operations while helping ensure policies are effectively defined, validated, and enforced across the environment. The ideal candidate brings a strong technical background in data and systems engineering, along with hands-on experience working with modern platforms and compliance-focused workflows. Responsibilities:• Assess existing device management policies to determine effectiveness, identify gaps, and document areas requiring remediation.• Convert validated policy frameworks into Intune configurations and help align enforcement rules with operational needs.• Contribute to the migration of approximately 300 devices from Jamf into Intune while maintaining stability and user readiness.• Support FIDO2 compliance initiatives and help implement device compliance standards across managed endpoints.• Monitor policy behavior after deployment, troubleshoot issues, and refine configurations to improve consistency and control.• Partner with technical stakeholders to translate business and security requirements into practical management policies.• Use scripting and data engineering tools to analyze operational data, automate repeatable tasks, and improve reporting visibility.
2026-09-18T00:00:00Z

Data Engineer

Oskaloosa, Iowa
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 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. ***
2026-09-02T00:00:00Z