144 results for Big Data Analytics jobs

EMR Data Analyst

Delray Beach, FL
onsite
Temporary
23 - 24 USD / Hourly
We are hiring for an EMR Data Analyst and play a critical role in driving our data reporting and electronic health record (EHR) optimization initiatives! If you have a passion for healthcare data, analytical acumen, and a desire to work with EMR/EHR systems, we want to hear from you.Key Responsibilities:<ul><li>Collaborate across business and IT teams to manage EHR/EMR data retrieval, analysis, and reporting</li><li>Organize and communicate data findings to leadership, supporting strategic decision-making</li><li>Develop data solutions integrating multiple internal applications and platforms</li><li>Build and manage data reporting for both internal and external stakeholders</li><li>Ensure timely daily, monthly, and quarterly uploads and submissions as required</li><li>Maintain strict data security standards and access controls</li><li>Deliver ongoing user support, training, and onboarding for EMR software</li><li>Participate in meetings, training sessions, and other initiatives as assigned</li></ul>
2026-03-14T00:00:00Z

Data Engineer / Machine Learning Engineer

Playa Vista, CA
onsite
Permanent
180000 - 220000 USD / Yearly
***For immediate response please email Valerie Nielsen*** Job Title: Machine Learning Engineer / Data Engineer Location: Culver City, CA (Onsite 4 days per week) Compensation: $200,000 Base + Bonus/Equity (if applicable)Overview We are seeking a Machine Learning Engineer / Data Engineer to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.The ideal candidate has experience building data and ML platforms used across an organization, and enjoys working at the intersection of data engineering, machine learning infrastructure, and production AI systems.Responsibilities<ul><li>Design and build scalable data and machine learning platforms used by multiple internal teams</li><li>Develop and maintain ML pipelines, feature stores, and training workflows</li><li>Build infrastructure supporting LLM-powered applications, including embeddings, vector search, and RAG pipelines</li><li>Develop systems for real-time decisioning, including pricing, personalization, and recommendation engines</li><li>Build and maintain experimentation platforms and A/B testing infrastructure</li><li>Optimize data pipelines and ML workflows for performance and scalability, including GPU-based training environments</li><li>Collaborate with product, engineering, and data teams to operationalize machine learning models in production</li></ul>
2026-04-01T00:00:00Z

Technical Business Analyst(Data)

White Plains, NY
onsite
Permanent
100000 - 120000 USD / Yearly
We are looking for a skilled Technical Business Analyst with expertise in data analysis to join our team in White Plains, New York. In this role, you will bridge the gap between business needs and technical solutions, ensuring data processes align with organizational goals. If you have a strong analytical background and experience working with data platforms and visualization tools, we encourage you to apply. Responsibilities: • Analyze and interpret complex datasets to identify trends and deliver actionable insights. • Collaborate with stakeholders to gather and translate business requirements into technical solutions. • Design and implement data pipelines using tools such as Python or Java to automate workflows. • Optimize database performance and manage data warehousing using platforms like Microsoft SQL Server. • Utilize cloud services, such as AWS or Azure, to support scalable data solutions. • Develop and maintain ETL processes for efficient data extraction, transformation, and loading. • Create dynamic dashboards and visualizations using tools like Tableau or Power BI. • Ensure data integrity and accuracy through rigorous testing and validation. • Provide technical support and training to non-technical team members. • Document processes and workflows to ensure clarity and continuity.
2026-03-30T00:00:00Z

DTD - Professional, Data & Analytics Reporting

Wayzata, MN
onsite
Temporary
37 - 41 USD / Hourly
We are seeking a Hardware Lifecycle & Inventory Coordination Analyst to support a large‑scale computer modernization initiative, focused on improving how enterprise devices are deployed, tracked, refreshed, and reported. The organization is modernizing its hardware lifecycle processes, implementing ServiceNow Hardware Asset Management, and accelerating the device refresh cycle.The position sits within IT Asset & Hardware Coordination and is responsible for managing inventory levels, coordinating lifecycle refreshes with vendors and service providers, resolving ordering issues, and ensuring data accuracy across multiple systems.The ideal candidate has a strong IT foundation, understands PC/laptop components, can work through large datasets, and is comfortable coordinating across technical, procurement, and business teams. Key Responsibilities:· Coordinate and manage hardware inventory levels and refresh lifecycle for over 80,000 administrative devices in North America.· Support enterprise‑wide PC and laptop refresh initiatives, ensuring devices are deployed on schedule to reduce device age.· Work closely with vendors, procurement, and service providers to ensure orders are flowing correctly and resolve ordering or fulfillment issues.· Maintain and validate asset and inventory data in ServiceNow Hardware Asset Management (HAM).· Pull and analyze inventory and lifecycle data from tools such as ServiceNow, SCCM, JAMF, and Microsoft Intune.· Perform data analysis and reporting using Excel (pivot tables, lookups, analysis); Power BI dashboard experience is a plus.· Build reports and provide insights that tell a clear story with numbers and support operational decision‑making.· Communicate regularly with internal teams and, over time, end users regarding device lifecycle, ordering, and logistics.· Work independently after receiving general direction, while proactively identifying issues and opportunities for process improvement.
2026-04-08T00:00:00Z

Senior Data Analytics – Internal Auditor

Chicago, IL
remote
Permanent
100000 - 121000 USD / Yearly
The salary range for this position is $100,000-$121,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this remote role please send your resume to [email protected]. Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.) ESSENTIAL FUNCTIONS & RESPONSIBILITIES: · Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department.· Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics.· Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks.· Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency.· Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations.· Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis.· Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action.· Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work.· Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities.· Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives.· Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing.· Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions.
2026-04-08T00:00:00Z

Data Engineer - SQL Server

West Des Moines, IA
onsite
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This role is based in West Des Moines, Iowa, and offers the opportunity to work on advanced data solutions that support organizational decision-making and efficiency. The ideal candidate will have expertise in relational databases, data cleansing, and modern data warehousing technologies. Responsibilities: • Develop, maintain, and optimize data pipelines to support business operations and analytics. • Perform data extraction, transformation, and cleansing to ensure accuracy and reliability. • Collaborate with teams to design and implement data warehouses and data lakes. • Utilize Microsoft SQL Server to build and manage relational database structures. • Analyze data sources and provide recommendations for improving data quality and accessibility. • Create and maintain documentation for data processes, pipelines, and system architecture. • Implement best practices for data storage and retrieval to maximize efficiency. • Troubleshoot and resolve issues related to data processing and integration. • Stay updated on industry trends and emerging technologies to enhance data engineering solutions.
2026-04-02T00:00:00Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent
200000 - 250000 USD / Yearly
A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals. Primary Responsibilities:<ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul>
2026-03-27T00:00:00Z

Manager of Data Analytics and Costing

Fort Worth, TX
onsite
Permanent
0 - 0 USD / Yearly
We are looking for an experienced Manager of Data Analytics and Costing to join our team in Fort Worth, Texas. This role is essential in driving financial planning, analysis, and costing accuracy within the organization. The ideal candidate will have a strong background in manufacturing cost structures, financial modeling, and team leadership, with a focus on delivering actionable insights and fostering process improvements. Responsibilities: • Lead financial planning processes, including budgeting, monthly forecasting, and long-range planning, ensuring alignment with organizational goals. • Conduct detailed variance analyses to compare actual financial results with budgets and forecasts, providing actionable insights and recommendations. • Develop and maintain predictive financial models to support strategic decision-making and scenario planning. • Oversee product and job costing validation processes to ensure accuracy and alignment with operational realities. • Collaborate with operations, production, and supply chain teams to analyze manufacturing variances and identify opportunities for cost savings. • Create and deliver comprehensive management reports and dashboards using advanced tools such as Excel and Power BI. • Implement predictive analytics techniques to anticipate cost trends and mitigate financial risks. • Present financial data and complex analyses in a clear, concise manner for diverse stakeholders, including senior management. • Lead and mentor a team of financial analysts and cost accountants, fostering growth and accountability. • Champion best practices in data analytics and costing, driving continuous improvement across the organization.
2026-03-20T00:00:00Z

Jr. Data Analyst

Salt Lake City, UT
remote
Contract / Temporary to Hire
33.25 - 37 USD / Hourly
Data Analyst - Operations & Engineering Support (Entry Level) Overview: This isn't a traditional "pull reports and make charts" analyst role. As an entry level Data Analyst, you’ll operate at the intersection of data engineering, technical support, and operations. You’ll help troubleshoot data issues, support pipeline reliability, and fulfill ad-hoc data requests while gaining hands-on exposure to the full data ecosystem. This is a fast-paced, high-impact role where adaptability, curiosity, and problem-solving are key. You don’t need to know everything on day one—we’re looking for someone proactive, resourceful, and eager to learn. The ideal candidate takes initiative, explores problems independently, and uses available tools (including AI) to find solutions efficiently. Key ResponsibilitiesData Issue Triage: Investigate and resolve L2/L3 data-related issues by analyzing datasets, writing queries, and clearly documenting findings for internal teams.Pipeline Monitoring & Support: Develop an understanding of data pipelines, identify potential points of failure, and proactively flag issues.Data Quality & Validation: Perform quality checks on datasets (both spatial and tabular) to ensure accuracy before distribution.Data Integration: Assist with onboarding new data sources into ETL processes, including setup, testing, and validation.AI-Driven Problem Solving: Leverage AI tools to accelerate troubleshooting, learn new systems, and improve efficiency—while applying sound judgment. Required Skills & Technologies SQL: Comfortable writing queries using joins, filters, and aggregations to explore and analyze data.Programming Exposure: Familiarity with Python, R, or similar scripting languages; not afraid to work with code.Ticketing Systems: Experience with tools like Jira, Asana, or similar for managing and tracking work.Version Control: Basic understanding of Git (commits, branches, pull requests). Experience & Mindset 0–2 years of experience in data analytics, technical support, or a related field. Naturally curious and resourceful; able to research, test, and problem-solve independently.Strong attention to detail with a focus on data accuracy. Comfortable working in a dynamic environment with shifting priorities. Clear and concise communicator, especially in written formats (tickets, documentation, messaging tools).Interested in growing toward a data engineering career path.
2026-04-08T00:00:00Z

Principal Advanced Analytics Engineer

Herndon, VA
onsite
Permanent
160000 - 180000 USD / Yearly
We are looking for an experienced Principal Advanced Analytics Engineer to join our team in Reston, Virginia. In this role, you will collaborate with business leaders and technical experts to design and implement cutting-edge AI and machine learning solutions that drive impactful insights and decision-making. This position offers the opportunity to lead advanced analytics initiatives, establish engineering standards, and mentor team members while staying at the forefront of emerging technologies. Responsibilities: • Collaborate with stakeholders to design and implement AI/ML solutions tailored to business objectives. • Develop and enforce engineering standards, design patterns, and quality controls for analytics projects. • Build and manage CI/CD pipelines for machine learning models, incorporating automated testing, monitoring, and retraining processes. • Integrate Responsible AI practices to ensure fairness, bias detection, explainability, and compliance with regulations. • Create and maintain enterprise data models, including dimensional and star schemas, to support analytics and business intelligence. • Work closely with analytics teams to deliver scalable and efficient data solutions. • Implement robust data security measures, access controls, and lineage tracking in line with corporate policies and privacy laws. • Stay updated on advancements in AI, ML, and BI technologies, bringing innovative solutions to the team. • Provide mentorship to Data Analytics Engineers, fostering attention to detail and promoting best practices.
2026-04-07T00:00:00Z

Business Intelligence (BI) Engineer

Fountain Inn, SC
onsite
Permanent
0 - 0 USD / Yearly
Robert Half is hiring! The Power Platform & Business Analytics Developer is responsible for building data analytics solutions, workflow automation, and system integrations using Microsoft Power Platform. This role develops Power BI reports and semantic models using Microsoft Fabric data warehouses, creates automated workflows and digital forms, integrates Power Platform solutions with ERP systems through REST APIs, and supports SharePoint Online document management and governance initiatives.Key Responsibilities:Power BI & Business Analytics<ul><li>Develop Power BI semantic models, datasets, dashboards, and reports using Microsoft Fabric data warehouses</li><li>Partner with business leaders to define and implement business metrics and KPIs</li></ul>Power Automate & e-Form Development<ul><li>Design and maintain automated workflows for e-form submissions and approval processes</li><li>Implement notifications, routing, and exception-handling mechanisms</li><li>Create digital forms using Power Apps or SharePoint Forms</li><li>Ensure workflows are scalable, secure, and properly monitored</li></ul>RESTful API Integration<ul><li>Develop integrations between Power Platform solutions and ERP systems using REST APIs</li><li>Create and maintain custom connectors for API integrations</li><li>Document integration mappings, workflows, and data flows</li></ul>SharePoint Document Management<ul><li>Implement approval workflows and automated notifications through Power Automate</li><li>Support business units in creating document libraries, workflows, and automations</li><li>Manage SharePoint Online architecture including metadata, content types, and permissions</li></ul>Collaboration, Support & Governance<ul><li>Work with stakeholders to translate business requirements into technical solutions</li><li>Document workflows, reporting assets, and integration architecture</li><li>Support governance processes including environment strategy and change management</li></ul>Required Qualifications:<ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Technology, or equivalent experience</li><li>2–5+ years of experience with Microsoft Power Platform (Power BI, Power Automate, Power Apps)</li><li>Strong Power BI development experience using Microsoft Fabric data warehouses</li><li>Experience designing complex automated workflows and building digital forms</li><li>Practical experience integrating systems using REST APIs</li><li>Knowledge of OAuth2, JSON, HTTP methods, and custom connectors</li><li>Experience supporting SharePoint Online architecture and workflow automation</li><li>Strong analytical, problem-solving, and documentation skills</li><li>Ability to effectively communicate and collaborate with non-technical stakeholders</li></ul>
2026-03-27T00:00:00Z

Business Intelligence (BI) Engineer

Coppell, TX
onsite
Temporary
55.4135 - 64.163 USD / Hourly
We are looking for an experienced Business Intelligence (BI) Engineer to join our team in Coppell, Texas. In this long-term contract role, you will play a key part in analyzing and interpreting user, product, and market data to support strategic business initiatives. You will collaborate with stakeholders across various departments to deliver actionable insights that drive efficiency and innovation. Responsibilities: • Partner with business stakeholders to understand priorities and develop timely, effective analytical solutions. • Analyze user, product, and market data to support initiatives such as customer segmentation, competitor analysis, and predictive modeling. • Provide insights and recommendations to enhance business intelligence roadmaps and development strategies. • Develop, maintain, and leverage models to optimize product pricing, identify market opportunities, and improve margins. • Collaborate with cross-functional teams to architect new strategies using data-driven insights. • Identify and communicate key findings to support existing and future business initiatives. • Evaluate business processes to identify opportunities for improvement and assist in proposing solutions. • Document and define business functions and processes to ensure clarity and alignment. • Utilize advanced tools like Power BI, Tableau, and Snowflake to manipulate and visualize data. • Support decision-making by delivering high-quality analytic solutions that align with organizational goals.
2026-03-27T00:00:00Z

Digital Marketing Analyst

Southfield, MI
onsite
Temporary
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-03-16T00:00:00Z

Digital Marketing Analyst

Grand Rapids, MI
onsite
Temporary
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-03-16T00:00:00Z

Data Engineer IV

Philadelphia, PA
onsite
Temporary
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-04-02T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent
110000 - 160000 USD / Yearly
We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions. Responsibilities<ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
2026-04-03T00:00:00Z

Data Specialist

Minneapolis, MN
onsite
Temporary
20 - 22 USD / Hourly
We are looking for a detail-oriented Data Specialist to join our team in Minneapolis, Minnesota. In this long-term contract role, you will support the Consolidation Services team by managing invoice processing, validating data, and assisting with various accounting-related tasks. The ideal candidate will have a keen eye for accuracy, a strong aptitude for problem-solving, and the ability to prioritize multiple projects in a fast-paced environment. Responsibilities: • Process manual invoices by verifying payee information, invoice dates, and purchase order numbers to ensure accuracy. • Import and validate electronic invoice files from both corporate and franchise suppliers. • Conduct thorough research to resolve duplicate invoice errors and ensure proper reconciliation. • Create templates for new clients, ensuring compliance with specific client and vendor requirements. • Maintain meticulous records by printing and filing invoices accurately to prevent financial losses. • Assist with ad hoc projects and miscellaneous administrative tasks as assigned. • Collaborate with team members to address and resolve invoice discrepancies in a timely manner. • Follow established guidelines and seek managerial input for deviations or complex issues. • Prioritize and manage multiple tasks to meet competing deadlines effectively.
2026-04-09T00:00:00Z

Data Platform Engineer

Cleveland, OH
remote
Temporary
42.75 - 49.5 USD / Hourly
We are looking for a skilled Data Platform Engineer to join our team on a long-term contract basis in Cleveland, Ohio. In this role, you will be responsible for managing and maintaining cloud-based analytics platforms, ensuring their stability, performance, and reliability. This is an excellent opportunity to work in a dynamic environment with cutting-edge technologies, including Kubernetes and containerized applications. Responsibilities: • Oversee the daily administration and operational support of cloud-based analytics platforms. • Install, configure, monitor, and troubleshoot platform components and services to ensure optimal performance. • Manage deployments within Kubernetes environments, addressing any related issues. • Monitor system health and integrate tools for logging, alerting, and observability. • Resolve performance, connectivity, and access issues to maintain system reliability. • Configure and manage data source connections and platform integrations. • Identify and mitigate potential capacity or performance risks by recommending improvements. • Collaborate with internal teams, including data, engineering, and infrastructure, to meet organizational goals. • Provide user support in a customer-facing or internal capacity, addressing technical concerns effectively.
2026-04-03T00:00:00Z

Data Engineering Manager

San Antonio, TX
remote
Permanent
95000 - 115000 USD / Yearly
Additional Skills: Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization. Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers. Ability to evaluate when to leverage community dbt packages versus building custom solutions. Expert-level SQL for complex analytical transformations and performance optimization. Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys. Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases. Experience designing and implementing automated data quality testing and validation frameworks. Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows. Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems. Working knowledge of DataOps practices such as version control, CI/CD, and automated testing. Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements. Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms. Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities. Strong communication and change management skills, translating technical capabilities into clear business value. Required experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles. 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams. Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations. Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products. Expert-level SQL skills, including complex analytical queries and performance optimization Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions. Preferred Education and Experience: Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field. dbt Analytics Engineering certification or equivalent demonstrated expertise Hands-on experience with Snowflake or comparable cloud data warehouse platforms. Experience working with K–12 education data, student information systems, or education analytics. Experience building data solutions for multi-state or geographically distributed organizations. Exposure to data governance practices, including business glossaries and data quality frameworks Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms). Experience leading analytics teams using Agile or iterative delivery methodologies.
2026-04-08T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-04-03T00:00:00Z

Data Security Analyst

Southfield, MI
onsite
Permanent
65000 - 75000 USD / Yearly
Our client, a Nationwide benefits consulting organization, is seeking an IS Analyst to support and maintain their core IT infrastructure. The IS Analyst II supports and maintains IT infrastructure, ensuring systems, networks, and applications run reliably. This role serves as a key point of contact for end users and contributes to security, virtualization, and collaboration tools. Key ResponsibilitiesInfrastructure & Hardware Support<ul><li>Install and maintain desktops, servers, and network equipment</li><li>Support telephony, printers, and endpoint devices</li><li>Troubleshoot hardware and connectivity issues</li></ul>Server & Application Support<ul><li>Maintain server operating systems and applications</li><li>Manage user accounts, storage, and backups</li><li>Install, update, and troubleshoot end-user applications</li></ul>User Support<ul><li>Act as primary IT contact for assigned locations</li><li>Diagnose and resolve hardware, software, and network issues</li></ul>Security & Compliance<ul><li>Monitor systems for security risks and vulnerabilities</li><li>Assist with incident response and remediation</li><li>Support audits and ensure compliance with IT security policies</li></ul>Virtualization & Systems<ul><li>Support virtual desktops, servers, and hypervisors</li></ul>Collaboration Tools<ul><li>Implement and maintain collaboration platforms</li><li>Provide user training and documentation</li><li>Integrate tools with email, phone, and other systems</li></ul>
2026-03-26T00:00:00Z

Data Security Analyst

New York, NY
onsite
Temporary
76 - 88 USD / Hourly
We are looking for an experienced Data Security Analyst. This long-term contract position requires a detail-oriented individual with a strong background in Active Directory management and advanced cybersecurity practices. The ideal candidate will excel in troubleshooting, technical execution, and utilizing tools to safeguard enterprise systems. Responsibilities:• Lead technical operations and execution within complex, multi-site Active Directory environments.• Perform advanced troubleshooting to diagnose and resolve Active Directory issues efficiently.• Develop and implement PowerShell scripts to automate tasks and enhance system functionality.• Collaborate with teams to ensure compliance with cybersecurity policies and standards.• Utilize SIEM tools to monitor and address security incidents effectively.• Conduct regular assessments of application security to identify vulnerabilities and implement solutions.• Provide expert guidance on cybersecurity strategies to protect enterprise systems.• Maintain and enhance security frameworks to safeguard sensitive data.• Deliver training and support to teams on best practices for data security.• Stay updated on emerging threats and technologies to proactively address security challenges.
2026-04-09T00:00:00Z

Ad Sales Data Analyst

Brooklyn, NY
onsite
Temporary
46.55 - 53.9 USD / Hourly
We are looking for a skilled Ad Sales Data Analyst to join our team in NYC, New York. In this long-term contract role, you will leverage your expertise in media and advertising analytics to deliver actionable insights and support strategic decision-making. This position is ideal for professionals who thrive in dynamic environments and have a strong background in data analysis within the advertising or media industry. Responsibilities: • Analyze and interpret advertising sales data to identify trends, opportunities, and areas of improvement. • Utilize fraud analytics tools and techniques to detect and prevent fraudulent activities within advertising campaigns. • Develop and maintain dashboards and reports to present key metrics and insights to stakeholders. • Collaborate with cross-functional teams to optimize advertising strategies and campaign performance. • Investigate suspected fraud cases and provide detailed reports based on findings. • Apply anti-fraud methodologies to ensure compliance and integrity in advertising sales processes. • Provide actionable recommendations based on data analysis to enhance revenue generation. • Work closely with advertising technology platforms to integrate data solutions and improve operational efficiency. • Stay updated with industry trends and advancements in data analysis and fraud prevention. • Support the implementation of new tools and systems to streamline data processing and reporting.
2026-04-09T00:00:00Z

Business Intelligence Analyst (Entry Level)

Montvale, NJ
onsite
Permanent
70000 - 80000 USD / Yearly
SummaryThe Business Intelligence Analyst (Entry Level) supports the Business Intelligence & Data team by understanding and writing data queries, building visualizations, and working with end users to obtain clear and concise report requirements. The candidate should have familiarity with data models/relationships and strong analytical skills with great attention to detail. Eagerness to learn the business is a must. Key Responsibilities<ul><li>Assist in developing, maintaining, and enhancing dashboards and reports using BI tools </li><li>Extract, transform, and load (ETL) data from various sources into BI tools and databases </li><li>Perform data validation, reconciliation, and quality checks across multiple data sources</li><li>Translate business requirements into technical reporting specifications</li><li>Document data sources, transformations, metrics definitions, and report logic</li><li>Collaborate with BI & Data team and business stakeholders to produce impactful reports</li></ul>
2026-03-16T00:00:00Z

AWS Data Engineer

Atlanta, GA
onsite
Temporary
50 - 55 USD / Hourly
Position Summary:<ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul>Responsibilities:Data Pipeline Monitoring & Operations:<ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul>Customer Data Onboarding & Implementation:<ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul>Data Quality & Continuous Improvement:<ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul>Customer & Cross‑Functional Collaboration:<ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>
2026-03-27T00:00:00Z

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