186 Results for Data Scientist Jobs

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Data Scientist

Farmers Branch, 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. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-10-12T00:00:00Z

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul>
2026-10-09T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.<ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
2026-10-02T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-10-12T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
60 - 65 USD / Hourly
We are looking for a Contract Data Engineer to strengthen analytics and reporting capabilities for a business operating across multiple data platforms. This role is based in San Francisco, California, and is ideal for someone who can evaluate an existing data ecosystem, advise on practical improvements, and deliver hands-on solutions. The right candidate will connect information from several systems, shape scalable data structures, and partner closely with business stakeholders to turn reporting needs into reliable insights. Responsibilities: • Evaluate the current data architecture and identify opportunities to improve scalability, usability, and reporting effectiveness. • Design and build data pipelines that combine information from multiple platforms into a cohesive and dependable reporting environment. • Develop and enhance Power BI dashboards and reporting solutions that provide stronger visibility into business performance. • Organize and model data within lake and warehouse environments to support accurate analytics and long-term maintainability. • Work directly with business partners to gather requirements, translate goals into technical solutions, and deliver actionable insights. • Lead hands-on implementation work across the data stack while also recommending the most effective path for future-state architecture. • Support ongoing expansion of data lake and reporting capabilities to improve access to trusted, well-structured information.
2026-10-14T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Los Angeles, CA
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
2026-10-14T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs. Responsibilities: • Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls. • Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment. • Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model. • Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options. • Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control. • Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations. • Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
2026-10-14T00:00:00Z

Data Engineer

Remote, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance. Responsibilities:• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.
2026-10-14T00:00:00Z

Data Engineer

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-09-23T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
70 - 75 USD / Hourly
Robert Half is seeking an experienced Data Virtualization Engineer with strong Denodo expertise to support a law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful virtualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams. Responsibilities:<ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Woodbury, MN
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment. Responsibilities:• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.
2026-10-14T00:00:00Z

Data Engineer

Cincinnati, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows. Responsibilities: • Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability. • Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption. • Work with Hadoop-based environments to manage distributed data processing and storage activities at scale. • Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality. • Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions. • Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
2026-10-14T00:00:00Z

Data Engineer

Pittsburgh, PA
onsite
Temporary / Contract
80000 - 160000 USD / Yearly
We are looking for Data Engineering and Analytics Engineering professionals interested in exploring new opportunities with growing organizations across the Pittsburgh market. We are partnering with multiple companies that are investing in modern data platforms, cloud infrastructure, and enterprise analytics initiatives. Location: Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)Compensation: $80,000 - $160,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Engineer</li><li>Senior Data Engineer</li><li>Analytics Engineer</li><li>Data Platform Engineer</li><li>Data Warehouse Engineer</li><li>Cloud Data Engineer</li><li>ETL/ELT Developer</li><li>Data Architect</li><li>Lead Data Engineer</li></ul>Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and data platforms</li><li>Build and optimize ETL/ELT processes supporting analytics and business operations</li><li>Develop and manage cloud-based data solutions and data warehouses</li><li>Partner with analytics, business, and technology teams to deliver trusted data products</li><li>Ensure data quality, reliability, governance, and performance across enterprise environments</li><li>Automate data workflows and support modern data engineering best practices</li><li>Support reporting, analytics, AI, and machine learning initiatives through effective data architecture</li></ul>
2026-10-14T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. This role will support enterprise reporting, analytics, and machine learning initiatives by ensuring the availability and integrity of critical business data.Responsibilities<ul><li>Design and develop ETL/ELT data pipelines</li><li>Build and maintain Azure data platforms and data lakes</li><li>Integrate data from APIs, databases, and third-party systems</li><li>Develop data models supporting analytics and reporting</li><li>Optimize database and pipeline performance</li><li>Implement data quality and monitoring solutions</li><li>Collaborate with analysts, developers, and business users</li></ul>
2026-10-08T00:00:00Z

Data Engineer

Battle Creek, MI
onsite
Permanent / Full Time
70000 - 110000 USD / Yearly
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly. Responsibilities: • Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms. • Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities. • Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems. • Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms. • Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs. • Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts. • Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion. • Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage. • Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
2026-09-28T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Brookfield, WI
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement. Responsibilities: • Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs. • Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions. • Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth. • Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility. • Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently. • Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed. • Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance. • Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
2026-09-28T00:00:00Z

Data Engineer

Appleton, WI
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.
2026-10-02T00:00:00Z

Data Engineer

Glendale, AZ
onsite
Temporary / Contract
60 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Engineer to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT data pipelines.</li><li>Integrate structured and unstructured data from multiple enterprise systems.</li><li>Develop and optimize data models used for analytics and reporting.</li><li>Build solutions within cloud data environments such as Azure, AWS, or GCP.</li><li>Monitor data pipelines for performance, reliability, and data quality.</li><li>Partner with analysts, architects, and application teams to understand data requirements.</li><li>Support the migration of legacy data workloads to modern cloud platforms.</li><li>Develop reusable frameworks and automation for data processing.</li></ul>
2026-10-06T00:00:00Z

Data Engineer

Santa Monica, CA
onsite
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a Data Engineer to join a team in Santa Monica, California on a Long-term Contract assignment. This position focuses on building dependable data solutions that connect multiple sources, support reporting needs, and improve access to trusted business information. The role offers a blend of pipeline development, dashboard ownership, data quality work, and cross-functional collaboration with partner teams. Responsibilities: • Design, validate, and release data pipelines that bring together information from varied source systems within an existing ingestion environment. • Create and support connections to external platforms, APIs, and vendor tools so data remains current, consistent, and available for analysis. • Oversee daily pipeline health, investigate processing issues, and partner with senior engineers to address failures and improve reliability. • Develop and maintain roughly 10 business intelligence dashboards used by 2 to 3 stakeholder groups, keeping reporting useful and aligned with team needs. • Improve dashboard quality by reviewing accuracy, optimizing performance, enhancing usability, and retiring reports that no longer provide value. • Write and maintain data validation checks, including tests at the source level to strengthen data quality and reduce downstream issues. • Support data modeling and transformation efforts using dbt to prepare clean, well-structured datasets for analytics and reporting. • Handle ad hoc data requests submitted through an intake process, providing timely answers to business questions with clear supporting analysis. • Produce and update documentation for pipelines, reporting assets, and operational workflows to promote maintainability and knowledge sharing. • Take part in peer code review by submitting thoughtful feedback and incorporating suggestions to maintain strong engineering standards.
2026-10-13T00:00:00Z

Data Engineer

Nashville, TN
remote
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee. Responsibilities: • Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives. • Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs. • Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables. • Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions. • Review existing processes and code for gaps or performance issues, then propose and implement improvements. • Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations. • Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners. • Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
2026-10-01T00:00:00Z

Data Engineer

Plano, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities. Responsibilities: • Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform. • Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability. • Support streaming data integration using Apache Kafka to enable timely and scalable data movement. • Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency. • Enhance data quality practices through validation, testing, and proactive issue identification. • Modernize data architecture by reducing dependency on legacy processes and addressing technical debt. • Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods. • Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities. • Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
2026-10-09T00:00:00Z

186 results for Data Scientist jobs