306 results for Data Analytics jobs

Data Reporting Analyst

Chicago, IL
onsite
Contract / Temporary to Hire
31.6635 - 36.663 USD / Hourly
We are looking for a Data Reporting Analyst to join our team in Chicago, Illinois, on a contract with the possibility of transitioning to a permanent position. In this role, you will focus on developing and maintaining data reports, managing nightly database updates, and supporting a robust data warehouse environment. This position offers a remote-first work model with occasional in-office collaboration, providing flexibility in a casual work setting. Responsibilities: • Create, format, and manage detailed reports using tools such as Excel, SQL Server, and Python. • Query and navigate databases efficiently to extract and analyze data for reporting purposes. • Design and implement visual data presentations utilizing Google Sheets for web publishing. • Collaborate with team members to ensure the accuracy of data within the internal warehouse environment. • Troubleshoot and resolve data-related issues independently, ensuring uninterrupted workflow. • Enhance reporting processes by leveraging SSRS and Excel VBA for advanced functionality. • Utilize SQL and Python scripting to automate repetitive tasks and improve data operations. • Maintain a high level of data integrity and security across all reporting functions. • Support continuous improvement initiatives for data analytics and reporting. • Provide technical expertise in SQL Server and related database systems to optimize performance.
2026-03-10T00:00:00Z

Data Analyst | Business Intelligence Developer

Kansas City, MO
onsite
Permanent
0 - 0 USD / Yearly
Position: Data Analyst | Business Intelligence Analyst Location: Kansas City, MO - Onsite Salary: up to $95,000 base + excellent benefits *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Join a thriving, financially strong manufacturing company that’s investing in data to drive smarter decisions and operational excellence. Our client is seeking a Data Analyst | Power BI Developer with experience to help transform raw data into actionable insights that fuel growth and innovation. What You’ll Do: · Build and maintain dynamic Power BI dashboards, reports, and data models · Write and optimize SQL queries and stored procedures on SQL Server · Partner with business stakeholders to understand reporting needs and deliver clear, impactful visualizations · Ensure accuracy, performance, and security across BI solutions What You Bring: · 3+ years of hands-on experience with Power BI and SQL Server · Strong skills in T-SQL, DAX, and Power Query · Solid understanding of ETL processes and data warehousing · Excellent communication and problem-solving abilities Bonus Skills: · Exposure to Azure SQL, Data Factory, SSIS/SSRS *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-02-15T00:00:00Z

Data Analyst III

Cleveland, OH
remote
Temporary
40 - 45 USD / Hourly
We are looking for an experienced Data Analyst III to join our team. In this role, you will apply advanced mathematical and data modeling techniques to deliver insightful business analyses and recommendations. You will collaborate with multiple business groups and senior stakeholders to drive informed decision-making and enhance processes. This is a long-term contract position offering an exciting opportunity to work on complex projects and influence strategic outcomes. Responsibilities:• Conduct detailed analyses to identify trends and provide actionable recommendations for business solutions.• Summarize and present findings through reports, charts, and presentations to stakeholders.• Develop and refine analytical models to support future business decisions.• Collaborate with business teams to gather requirements and design effective data analysis strategies.• Retrieve, verify, and prepare data from various sources for accurate reporting.• Create advanced queries and tools to simplify data management and reporting processes.• Forecast outcomes and analyze trends to support strategic planning and process improvements.• Act as a liaison between departments, providing data-driven insights and answering queries about business processes.• Mentor and guide less experienced team members, assigning tasks and ensuring project deliverables.• Support cross-functional projects and provide input to external groups, vendors, or agencies as needed.
2026-03-05T00:00:00Z

Director of Data Analytics

West Valley City, UT
onsite
Permanent
120000 - 140000 USD / Yearly
Position Summary:Drive and shape the organization’s overarching data and analytics strategy to deliver actionable insights that directly support critical business decision-making.Key Responsibilities:<ul><li>Develop and execute the company’s data and analytics roadmap to ensure reporting and analysis capabilities empower organizational objectives.</li><li>Remain abreast of industry trends, emerging technologies, and relevant external reports; synthesize and communicate key findings to the leadership team and stakeholders.</li><li>Lead all aspects of internal and external reporting, ensuring data outputs are accurate, comprehensive, auditable, and have clearly defined ownership.</li><li>Oversee creation and delivery of executive reports, frameworks, dashboards, and recurring presentations that provide actionable intelligence to senior leadership.</li><li>Align data priorities with senior leaders, offering consistent and proactive communication of project status, risks, dependencies, and critical trade-offs.</li><li>Establish rigorous procedures for intake, prioritization, and delivery of analytics projects—managing scope, timelines, and escalation as needed.</li><li>Foster a results-driven culture of accountability by actively monitoring and driving progress on key analytics initiatives.</li><li>Create and maintain robust governance and controls to ensure high-quality, efficient, and reliable reporting processes.</li><li>Standardize metrics and frameworks to ensure consistency and reliability across all reporting channels and business units.</li><li>Build, mentor, and lead analytics and reporting teams, including recruiting, coaching, and setting high performance and stakeholder engagement standards.</li><li>Partner cross-functionally to address data challenges, enable self-service analytics, and further automate and enhance reporting effectiveness.</li><li>Ensure stakeholder satisfaction and delivery of measurable business outcomes from data and analytics initiatives.</li></ul>Minimum Qualifications:<ul><li>Over 10 years of experience with advanced data analysis, relational databases, and enterprise analytics tools.</li><li>Advanced proficiency in database management, data extraction, analytics, and visualization technologies.</li><li>Demonstrated expertise in SQL, SSRS, SSIS, ETL processes, Excel, Python, and PowerPoint.</li><li>Experience with diverse data transformation, reporting, and analytics tools or programming languages.</li><li>Exceptional written and verbal communication skills; proven ability to present complex analytical insights to senior executives and cross-functional teams.</li><li>Strong organizational and project management skills; proven success managing multiple, concurrent projects.</li><li>Demonstrated leadership in team management, coaching, and talent development within analytics or reporting environments.</li><li>Experience overseeing high-stakes internal and external reporting commitments.</li></ul>Preferred Qualifications:<ul><li>Experience with additional data visualization and analytics platforms.</li><li>Thrives in fast-paced environments; maintains keen attention to detail under pressure.</li><li>Familiarity with compliance, regulatory, or governance requirements related to enterprise analytics and reporting.</li></ul>
2026-03-11T00:00:00Z

Business Analytics Specialist

Las Vegas, NV
onsite
Permanent
80000 - 90000 USD / Yearly
Our client is seeking a detail-oriented Business Analytics Specialist to support enterprise reporting, dashboard creation, and operational performance insights. This role is responsible for turning complex business data into clear, actionable information that helps leadership understand trends, identify opportunities, and improve performance across multiple locations. This position is onsite in Las Vegas, NV, Monday-Friday. <ul><li>Develop and maintain dashboards tracking core operating metrics such as sales, margin, labor productivity, guest counts, and site-level profitability.</li><li>Analyze KPI trends and identify drivers behind variances versus budget and forecast.</li><li>Support recurring and ad hoc reporting using standardized data models.</li><li>Manage and validate data flows from site-level systems into centralized reporting datasets.</li><li>Perform basic cohort and trend analysis to evaluate pricing, product, and operational initiatives.</li><li>Present clear, data-driven insights to Operations and leadership teams during regular business reviews.</li><li>Maintain data accuracy and consistency across locations and reporting structures.</li><li>Support business users in understanding and utilizing dashboards effectively.</li></ul>
2026-02-19T00:00:00Z

Financial Data Analyst

Houston, TX
onsite
Permanent
90000 - 110000 USD / Yearly
We are looking for an experienced Financial Data Analyst to join our dynamic team in Houston, Texas. This role involves analyzing complex financial data, creating models, and providing actionable insights to support strategic decision-making. The ideal candidate will have a strong background in financial analysis and modeling, coupled with the ability to present findings in a clear and impactful manner. Responsibilities: • Develop and maintain advanced financial models in Excel to support budgeting, forecasting, and long-term planning. • Perform scenario, sensitivity, and what-if analyses to evaluate potential outcomes and risks. • Conduct in-depth ad hoc analyses to address strategic business questions and opportunities. • Prepare detailed reports on financial performance, emphasizing key trends and actionable recommendations. • Track and evaluate critical financial metrics to monitor performance against goals. • Analyze profit and loss statements, balance sheets, and cash flow data to identify trends and variances. • Collaborate with the business intelligence team to design and prototype dashboards and management reports using Power BI. • Assist in the preparation of annual budgets and forecasts by working closely with management. • Conduct market research to understand industry trends and assess competitive positioning. • Support financial due diligence efforts by creating pro forma financials for acquisitions and partnerships.
2026-03-05T00:00:00Z

Data Visualization Specialist

Stamford, CT
onsite
Permanent
100000 - 120000 USD / Yearly
We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports. Responsibilities:• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.• Interpret and analyze complex datasets to generate meaningful business recommendations.• Ensure data accuracy and integrity by meticulously validating and reconciling information.• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.• Design intuitive and user-friendly dashboards that align with visualization best practices.• Utilize relational data sources to identify and explore data relationships.• Develop Power BI reports that are embedded within applications when required.• Apply knowledge of structured datasets to extract insights from operational systems.• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.
2026-03-16T00:00:00Z

Data Architect

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
Architect and lead the modern data platform using Microsoft Fabric. You’ll define data models, pipelines, governance, and performance patterns that power analytics at scale.What You’ll Do<ul><li>Design end‑to‑end architectures leveraging Fabric (OneLake, Lakehouses, Warehouses)</li><li>Define medallion/layered models, dimensional designs, and semantic layers</li><li>Lead ingestion and transformation with Dataflows Gen2 / Data Factory / Notebooks</li><li>Establish governance (data quality, lineage, security, RLS/OLS)</li><li>Optimize performance and cost; standardize reuseable patterns</li><li>Mentor data engineers/analysts; review solutions and set best practices</li><li>Partner with business to translate use cases into scalable models</li></ul>
2026-02-27T00:00:00Z

Data Architect

Minneapolis, MN
remote
Permanent
130000 - 165000 USD / Yearly
We are looking for an experienced Data Architect to design and implement cutting-edge data solutions that meet the evolving needs of our enterprise. This role involves building secure, scalable, and high-performing data platforms while leveraging modern technologies and aligning with organizational goals. The ideal candidate will have expertise in cloud-based architecture, data governance, and advanced analytics, driving innovation across diverse business functions. Responsibilities: • Develop comprehensive data architecture strategies for advanced analytics and big data solutions using Azure Databricks. • Design and implement Databricks Delta Lake-based Lakehouse architecture, utilizing PySpark Jobs, Databricks Workflows, Unity Catalog, and Medallion architecture. • Optimize and configure Databricks clusters, notebooks, and workflows to ensure efficiency and scalability. • Integrate Databricks with Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, and Microsoft Fabric. • Establish and enforce best practices for data governance, security, and cost management. • Collaborate with data engineers, analysts, and business stakeholders to translate functional requirements into robust technical solutions. • Provide technical mentoring and leadership to team members focused on Databricks and Azure technologies. • Monitor, troubleshoot, and enhance data pipelines and workflows to maintain reliability and performance. • Ensure compliance with organizational and regulatory standards regarding data security and privacy. • Document configurations, processes, and governance standards to support long-term scalability and usability.
2026-03-04T00:00:00Z

Data Architect

Green Bay, WI
onsite
Permanent
140000 - 160000 USD / Yearly
Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards. You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization. Key Responsibilities:<ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
2026-02-17T00:00:00Z

Data Engineer

Lithonia, GA
onsite
Permanent
95000 - 100000 USD / Yearly
We are looking for a skilled Data Engineer to join our logistics team in Lithonia, Georgia. In this role, you will design, construct, and maintain data pipelines and infrastructure to support analytics and operational systems. You will play a key role in enabling data visualization tools, optimizing data processes, and ensuring the accuracy and availability of critical information. Responsibilities: • Design and implement data pipelines to efficiently extract, transform, and load data from multiple sources. • Develop and maintain data models and storage solutions to support analytics and reporting needs. • Collaborate with stakeholders to troubleshoot data inconsistencies and resolve technical issues. • Utilize Tableau or Power BI to create meaningful data visualizations that drive business insights. • Write and optimize database procedures, triggers, and other SQL-based functionalities. • Manage and monitor databases to ensure their performance and reliability. • Provide technical guidance to analysts on best practices in data governance and performance optimization. • Participate in cross-functional projects to enhance data accessibility and quality across departments. • Explore and integrate Python-based solutions to enhance data engineering processes. • Assist in training and development related to data availability and analytics tools.
2026-02-17T00:00:00Z

Data Engineer

Savannah, GA
remote
Contract / Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability. Responsibilities: • Design and implement robust data lake and warehouse architectures to support organizational needs. • Develop efficient ETL pipelines to process and integrate data from multiple sources. • Collaborate with analytics teams to create and refine data models for reporting and visualization. • Monitor and maintain data systems to ensure quality, security, and availability. • Troubleshoot data-related issues and perform in-depth analyses to identify solutions. • Define and manage organizational data assets, including SaaS tools and platforms. • Partner with IT and security teams to meet compliance and governance standards. • Document workflows, pipelines, and architecture for knowledge sharing and long-term use. • Translate business requirements into technical solutions that meet reporting and analytics needs. • Provide guidance and mentorship to team members on data usage and best practices.
2026-03-09T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent
140000 - 175000 USD / Yearly
Data Engineer (Hybrid, Los Angeles)Location: Los Angeles, CaliforniaCompensation: $140,000 - $175,000 per yearWork Environment: Hybrid, with onsite requirementsAre you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated Data Engineer to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.Key Responsibilities:<ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul>
2026-02-23T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent
135000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-03-11T00:00:00Z

Data Engineer

Memphis, TN
onsite
Temporary
58 - 68 USD / Hourly
Our transportation client is seeking a Data Engineer to support large‑scale logistics operations by building reliable, scalable, and cloud‑based data pipelines. This role is hands‑on, focused on delivering high‑quality data flows that improve shipment visibility, operational efficiency, and real‑time analytics across the supply chain. Key Responsibilities<ul><li>Design, build, and maintain ETL/ELT pipelines that process high‑volume operational and logistics data</li><li>Develop transformation logic and automation using Python, SQL, and Azure-native tooling</li><li>Implement and orchestrate workflows in Azure Data Factory, Synapse, and Databricks</li><li>Optimize data lake and warehouse performance, including tuning queries, pipelines, and storage layers</li><li>Monitor pipeline health and proactively troubleshoot failures, bottlenecks, and data quality issues</li><li>Contribute to data modeling efforts to support analytics, reporting, and downstream applications</li><li>Collaborate with BI, product, supply chain, and application teams to align pipelines with business needs</li><li>Maintain strong documentation around workflows, standards, and operational procedures</li><li>Support governance initiatives related to data quality, lineage, cataloging, and access policies</li><li>Follow best practices for security, compliance, and cloud resource management</li></ul>
2026-03-16T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary
71.25 - 82.5 USD / Hourly
We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems. Responsibilities: • Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming. • Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations. • Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage. • Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs. • Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments. • Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets. • Support continuous integration and deployment processes for Databricks jobs and system configurations. • Ensure high standards of data quality and security across all engineering tasks. • Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
2026-03-16T00:00:00Z

Data Engineer

Tampa, FL
onsite
Permanent
100000 - 115000 USD / Yearly
Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.Full-time position, HYBRID schedule out of their Tampa office.Compensation ranging $100-115K depending on experience*Medical benefits are also 100% covered after onboarding period* Data Engineer (BI/ETL) focused on building and optimizing ETL/ELT pipelines, migrating/cleaning data between internal, vendor, and legacy systems, and improving data quality. SQL is absolutely required, and this role leans heavily into backend data movement — not dashboarding. Top Skills Looking For:<ul><li>Strong SQL (non negotiable)</li><li>Experience designing and maintaining ETL / ELT pipelines using frameworks such as Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li>Experience moving data across multiple systems</li></ul>Description:Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.• Design and develop BI solutions.• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.• Model, implement, and maintain databases and data marts to support BI reporting.• Develop extract, transform, load (ETL) to support the loading of data into data marts.• Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.• Perform other related duties as required.
2026-03-04T00:00:00Z

Data Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-03-04T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Fort Lauderdale, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration. Responsibilities: • Design, develop, and maintain large-scale data pipelines to support business needs. • Optimize data workflows using tools such as Apache Spark and Python. • Implement and manage ETL processes for seamless data transformation and integration. • Collaborate with cross-functional teams to ensure data solutions align with organizational goals. • Monitor and troubleshoot data systems to ensure consistent performance and reliability. • Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities. • Ensure compliance with data security and privacy standards. • Analyze and interpret complex datasets to provide actionable insights. • Document processes and solutions to support future scalability and maintenance.
2026-03-16T00:00:00Z

Data Engineer

Saginaw, MI
remote
Permanent
140000 - 150000 USD / Yearly
The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization. Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation. This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.
2026-03-06T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
55 - 65 USD / Hourly
I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can design secure, scalable data pipelines, own ETL/ELT workflows, engineer cloud data infrastructure, and deliver dimensional and semantic models that our analysts, data scientists, and applications can trust.You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a real-time, governed, cost-aware, and highly automated data ecosystem.What You’ll Do<ul><li>Design & build end-to-end pipelines on AWS (batch and streaming) using services like Glue, EMR, Lambda, Step Functions, Kinesis, MSK, and Fargate.</li><li>Develop robust ETL/ELT (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li>Own data storage & processing layers: S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB, and Athena with strong partitioning, compaction, and performance tuning.</li><li>Implement data models (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li>Engineer secure infrastructure-as-code with Terraform (or CDK) across multi-account setups; implement CI/CD via GitHub Actions or AWS CodeBuild/CodePipeline.</li><li>Harden security & governance: use IAM, Lake Formation, KMS, Secrets Manager, VPC/PrivateLink, GLUE Catalog, and fine-grained access controls. Partner with SecOps on compliance (e.g., SOC 2, FedRAMP, HIPAA depending on dataset).</li><li>Observability & reliability: build monitoring with CloudWatch, OpenTelemetry, and data quality checks (e.g., Great Expectations, Deequ), implement SLOs and alerts.</li><li>Champion best practices: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li>Mentor mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul>
2026-03-10T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-03-03T00:00:00Z

Data Engineer

Greenville, SC
onsite
Permanent
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an experienced Data Engineer to join our team in Greenville, South Carolina. This role offers an exciting opportunity to work with modern data technologies, ensuring the efficient operation and optimization of data pipelines and systems. The ideal candidate will bring a strong technical background, leadership skills, and a proactive approach to maintaining and improving data infrastructure. Responsibilities:• Oversee daily data loads and ensure the smooth operation of data pipelines and related systems.• Troubleshoot and resolve issues such as pipeline failures, performance bottlenecks, schema mismatches, and cloud resource disruptions.• Conduct root-cause analyses and implement permanent solutions to prevent recurring issues.• Maintain and optimize existing data processes, refactoring or retiring outdated workflows as necessary.• Design and build scalable data ingestion pipelines using technologies such as Azure Data Factory, Databricks, and Synapse Pipelines.• Collaborate with teams to create and improve operational runbooks, monitoring dashboards, and incident response workflows.• Develop reusable ingestion patterns for platforms like Guidewire DataHub, InfoCenter, and other business data sources.• Lead the implementation of real-time and event-driven data engineering solutions to enable operational insights and automation.• Partner with architects to modernize data workloads using advanced frameworks like Delta Lake and Medallion Architecture.• Mentor entry-level engineers, enforce coding best practices, and review code to ensure quality and compliance.
2026-03-11T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Data Engineer,Data Engineer,,Data Engineer,Data Engineer,,,Data Engineer,Data En
2026-03-13T00:00:00Z

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