344 Results for Data Analyst Jobs in Usa

Add your latest resume to match with open positions.

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

Business Analytics/Data Analyst

Santa Ana, CA
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support finance and operations through in-depth analysis of complex business data in Santa Ana, California. This is a Long-term Contract opportunity expected to run 3 to 6 months, with a hybrid schedule that includes two days onsite each week. The person in this role will translate large datasets into practical reporting, performance insights, and decision support for leadership while working closely with finance and technology stakeholders. Responsibilities: • Gather, extract, and organize high-volume financial and operational information from core business systems for analysis and reporting. • Create and refine SQL queries, including developing new queries when needed to access and structure data effectively. • Build dashboards, recurring reports, and visual reporting tools in Power BI and other reporting platforms to support leadership decisions. • Perform advanced analysis and spreadsheet modeling in Excel to evaluate trends, productivity, and business performance. • Develop analytical models tied to operational outcomes such as project costs, workforce efficiency, and employee-related returns. • Deliver custom financial and operational insights on an ad hoc basis for finance leaders and other business stakeholders. • Collaborate with technology partners to improve data access, reporting reliability, and analytical workflows across systems. • Interpret datasets through an accounting and finance lens to ensure reporting aligns with business and financial meaning. • Recreate or rebuild important reporting logic and query-based outputs when legacy processes are not readily available.
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

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.
2026-10-08T00:00:00Z

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.
2026-10-07T00:00:00Z

Data Engineer

St. Paul, MN
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.
2026-10-05T00:00:00Z

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.
2026-10-01T00:00:00Z

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

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

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.
2026-10-08T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
70 - 75 USD / Hourly
Robert Half is seeking an experienced Data Visualization 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 visualization 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>
2026-10-08T00:00:00Z

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

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

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

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.
2026-10-09T00:00:00Z

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

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a permanent 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.
2026-10-08T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-10-02T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Norman, OK
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-10-02T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-09T00:00:00Z

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

1 3

344 results for Data Analyst in Usa