64 Results for Microsoft Power Bi Jobs

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Data Engineer

Little Rock, AR
onsite
Temporary / Contract
100000 - 120000 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
62 - 71 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>
2026-11-03T00:00:00Z

Data Engineer

Saint Petersburg, FL
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment. Responsibilities: • Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function. • Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights. • Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis. • Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics. • Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies. • Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable. • Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments. • Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
2026-10-28T00:00:00Z

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

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-11-10T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-11-06T00:00:00Z

Data Engineer

Oskaloosa, IA
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. ***
2026-10-13T00:00:00Z

Data Engineer

Chicago, IL
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential. Responsibilities: • Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets. • Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms. • Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance. • Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads. • Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs. • Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions. • Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity. • Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
2026-11-09T00:00:00Z

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.
2026-10-28T00:00:00Z

Sr. Manager, Business Intelligence

Bentonville, AR
onsite
Permanent / Full Time
95000 - 110000 USD / Yearly
We are looking for a strategic business intelligence leader to help translate operational needs into clear, data-informed solutions in Bentonville, Arkansas. This role partners with cross-functional teams to assess business processes, improve service-related workflows, and support decision-making through thoughtful analysis and documentation. The ideal candidate brings a strong background in business analysis, customer service environments, and agile delivery practices while driving continuous improvement across complex initiatives. Responsibilities:Client‑Facing Analytics & Strategic EnablementServe as a trusted analytics partner to Account Managers and client stakeholders by translating data into insights that inform inventory, supply chain, and shipment decisions. Proactively anticipate client needs, frame analyses around business impact, and support client discussions with clear, defensible recommendations.Inventory & On‑Shelf Availability (OSA) AnalyticsAnalyze store‑level and DC‑level inventory signals including on‑hands, weeks of supply, sell‑through, and inventory coverage. Identify and quantify risks related to out‑of‑stocks, phantom inventory, and excess inventory, and communicate implications in a way that supports timely corrective action with both internal teams and clients.Supply Chain & Purchase Order TrackingMonitor purchase orders end‑to‑end, including quantities, ship windows, and DC delivery timing. Identify misalignment between forecast, demand, and orders, and surface potential supply disruptions or fulfillment gaps early. Partner with Account Managers to translate supply flow risk into client‑ready insights and recommendations.Sales & Shipment Opportunity IdentificationEvaluate brand‑level sales relative to inventory and supply to identify situations where demand exceeds available inventory. Recommend incremental shipment opportunities tied to promotional activity, feature support, regional demand shifts, and inventory constraints, supported by data‑driven justification.Client‑Ready Dashboards (Scintilla & Power BI)Design, build, and maintain Power BI dashboards sourced from Scintilla data that visualize inventory health, sales versus forecast, supply flow, and lost sales. Ensure dashboards are intuitive, scalable, and structured for direct client consumption, enabling clients to quickly understand risks, opportunities, and required actions.Account Manager Partnership & Client EngagementPartner closely with Account Managers to prepare for client meetings, interpret analytical outputs, and confidently speak to insights. Support client conversations through structured data storytelling that connects analytical findings to clear business implications and recommended next steps.Insight Leadership & Analytical StandardsProvide analytical leadership by ensuring insights are methodologically sound, clearly communicated, and focused on decision impact. Set expectations for quality, consistency, and clarity in client‑facing analytics delivered by the team, reinforcing Business Intelligence as a strategic business partner rather than a reporting function.
2026-11-04T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-11-02T00:00:00Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T00:00:00Z

Data & AI Architect

Grand Rapids, MI
remote
Permanent / Full Time
180000 - 240000 USD / Yearly
We are looking for a Data & AI Architect to lead the design of modern data platforms and intelligent systems.. This is a fully remote opportunity that blends enterprise data architecture with applied AI, focusing on scalable platforms, retrieval-driven solutions, and production-grade agentic workflows. The ideal candidate will shape technical standards, guide platform decisions, and contribute hands-on expertise to build secure, high-performing solutions that support advanced analytics and AI adoption. Responsibilities:• Establish enterprise data models, shared business semantics, and data interface standards that support secure, tenant-aware access across relational, document, key-value, object, graph, vector, and analytical data platforms.• Design cloud-based data ecosystems, including warehouses and lakehouses, and select the right technologies based on throughput, latency, scale, and cost requirements.• Create architecture for batch and streaming pipelines, transformation layers, and data-serving systems with strong attention to lineage, recoverability, freshness, data quality, and operational accountability.• Lead the design of embedding pipelines, vector lifecycle management, semantic retrieval, hybrid search, reranking strategies, and evaluation methods for high-quality search experiences.• Architect knowledge-driven and graph-aware solutions that improve entity resolution, recommendation quality, matching accuracy, and personalization outcomes.• Define production-ready approaches for retrieval-augmented AI and single- or multi-agent systems, including context design, citation grounding, orchestration patterns, state handling, approval workflows, and resilient failure recovery.• Establish measurement and observability practices for AI systems by tracking quality, safety, reliability, cost, latency, and task performance through traceable debugging and regression testing.• Build, review, and optimize critical data pipelines, AI prototypes, retrieval services, and evaluation frameworks to support real-world production use cases.• Implement repeatable engineering practices such as automated testing, CI/CD, documentation, monitoring, and recovery procedures that enable reliable long-term operation.• Set architectural direction for governance, privacy, authorization, retention, auditability, and AI safety controls while advising on platform strategy, vendor evaluation, and technical decision-making.
2026-10-29T00:00:00Z

Healthcare Business Analyst - API Integrations

Florham Park, NJ
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
The Healthcare Business Analyst – Pharmacy API Integrations is responsible for managing and improving API integrations between the organization and external pharmacy partners. This role serves as a key point of contact for API-related initiatives, ensuring integrations are well-documented, reliable, secure, and designed to support efficient pharmacy operations and a positive customer experience. The individual will collaborate with external partners and internal teams across software engineering, quality assurance, project management, and operations to define requirements, resolve integration challenges, and deliver effective technical solutions. A major focus will be monitoring operational KPIs and identifying opportunities to improve performance, including faster prescription fulfillment, fewer escalations, and reduced manual intervention. The ideal candidate combines strong technical and analytical skills with excellent communication, customer service, and project ownership capabilities. Key Responsibilities<ul><li>Oversee pharmacy API integrations and continuously improve the experience for internal users, external pharmacy partners, and software implementation teams.</li><li>Consult with external customers and technology partners to provide guidance on API integration requirements, implementation, and best practices.</li><li>Maintain accurate, comprehensive, and up-to-date API documentation for external partners and internal stakeholders.</li><li>Collaborate with business analysts, project managers, software engineers, QA, and operations teams to define integration designs, data requirements, and workflows.</li><li>Translate business needs into clear technical requirements and develop integration solutions that support customer and operational objectives.</li><li>Investigate and troubleshoot integration issues, identify system gaps, and recommend solutions to improve reliability and performance.</li><li>Evaluate proposed solutions for technical and operational feasibility, ensuring they meet business requirements.</li><li>Monitor integration performance and operational KPIs, identifying opportunities to improve prescription fulfillment speed, reduce escalations, and minimize manual processes.</li><li>Apply a strong understanding of software development principles and API technologies to connect systems across organizations.</li><li>Stay current with emerging API technologies, industry standards, and integration best practices.</li><li>Maintain technical knowledge through ongoing professional development, industry research, and participation in relevant professional networks.</li><li>Follow established security, privacy, and administrative safeguards when performing job responsibilities.</li><li>Ensure compliance with HIPAA requirements and applicable healthcare data protection standards.</li></ul>Performance ExpectationsSuccess in this role will be measured by the quality and accuracy of API documentation, effectiveness and reliability of integration solutions, and timely communication with external partners, vendors, business users, and internal IT teams. Additional performance measures include code resiliency, defect rates, integration stability, and improvements in operational efficiency.
2026-10-13T00:00:00Z

64 results for Microsoft Power Bi jobs