134 results for Big Data jobs

Business Intelligence Analyst

Murray, UT
remote
Temporary
48 - 52 USD / Hourly
We are looking for a skilled Business Intelligence Analyst to join our client's team on a short-term contract basis. In this role, you will leverage your expertise in data analysis, reporting, and dashboard creation to support executive-level decision-making and optimize IT operations. This position offers the flexibility of working remotely, making it ideal for professionals who thrive in independent environments. Responsibilities:• Analyze and interpret complex datasets to extract actionable insights for business operations.• Design and develop dynamic reports and dashboards tailored for executive audiences.• Collaborate with stakeholders to gather requirements and align analytics solutions with business needs.• Utilize Power BI and Tableau to create visually compelling and user-friendly dashboards.• Perform integrations between organizational tools and Power BI, ensuring seamless data flow.• Support IT operations reporting and network operations reporting through detailed analyses.• Apply advanced data modeling techniques to structure and organize information effectively.• Develop APIs to facilitate data sharing and enhance reporting capabilities.• Enable data-driven decision-making by providing accurate and timely insights.• Work independently while contributing to team objectives and fostering collaboration. Top 3 Hard Skills:1 Past experience performing API integrations between SAAS tools and Power BI2 Experience building dashboards for an executive level audience3 Prior experience in IT Operations reporting or network operations reporting
2026-03-30T00:00:00Z

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

Data Engineer (Manager)

Chicago, IL
onsite
Permanent
136000 - 217000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Chicago, Illinois. In this role, you will design and implement data solutions that drive business insights and support strategic decision-making. Your expertise in Microsoft Fabric and Azure Databricks will be key in optimizing data workflows and ensuring the reliability of our data systems. Responsibilities: • Develop, implement, and maintain scalable data pipelines to support business analytics and reporting needs. • Utilize Microsoft Fabric and Azure Databricks to design efficient data architectures and workflows. • Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions. • Ensure data integrity and security across all systems and processes. • Optimize data storage and retrieval processes for improved performance and scalability. • Monitor system performance and troubleshoot issues as needed to ensure seamless operations. • Document processes and procedures to maintain a clear record of data engineering solutions. • Stay updated with emerging technologies and industry best practices to enhance data engineering capabilities.
2026-04-01T00:00:00Z

Business Intelligence (BI) Engineer

Centennial, CO
remote
Temporary
51.4615 - 59.587 USD / Hourly
We are looking for an experienced Business Intelligence (BI) Engineer to join our team in Englewood, Colorado. In this role, you will focus on developing and optimizing dashboards using Amazon QuickSight to support analytics initiatives across multiple projects. This position requires strong technical expertise, excellent communication skills, and a creative approach to dashboard design and data storytelling. This is a long-term contract opportunity within the telecom services industry. Responsibilities: • Develop enterprise-level dashboards using Amazon QuickSight to deliver actionable insights. • Collaborate with stakeholders to gather and translate business requirements into reporting specifications and prototypes. • Design and prototype interactive dashboards, ensuring clarity, usability, and impactful storytelling. • Work alongside Data Engineering teams to define required datasets and support semantic layer needs. • Utilize QuickSight Q and AI features to enhance data interpretation and guide strategic decision-making. • Create calculated fields, parameters, and variables to optimize reporting functionalities. • Ensure dashboards integrate both qualitative and quantitative data for comprehensive analysis. • Conduct user experience (UX) design for dashboards, focusing on layout and accessibility. • Support government projects requiring eligibility for federal security clearance and strict vetting processes. • Communicate effectively with cross-functional teams to ensure alignment and successful project execution.
2026-03-09T00:00:00Z

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

Greenville, SC
onsite
Permanent
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Greenville, South Carolina. In this role, you will design and deliver high-performing, scalable, and secure BI solutions, enabling actionable insights across various business domains such as Policy, Claims, and Billing. You will collaborate with stakeholders and data engineering teams to build reusable models and optimize reporting solutions using industry-leading tools. Responsibilities:• Design and develop reporting solutions using data from multiple systems, including Policy, Claims, Billing, and third-party sources.• Create reusable semantic and data models to support enterprise-wide analytics.• Develop interactive dashboards and operational reports using tools such as Power BI and Cognos Analytics.• Implement security measures, including role-based and row-level access controls, for BI solutions.• Collaborate with stakeholders in Claims, Underwriting, and Finance to refine and standardize metrics.• Build and optimize semantic models and executive-level dashboards leveraging Azure Data Lake and Power BI.• Design star schemas for reporting and analytics, ensuring data lineage and governance.• Perform data validation and reconciliation to maintain accuracy and consistency of BI outputs.• Document data definitions, transformations, and business logic to support audit and regulatory reporting requirements.• Optimize report performance through advanced query tuning and aggregation strategies.
2026-03-11T00:00:00Z

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

Business Intelligence (BI) Engineer

Houston, TX
onsite
Temporary
66.5 - 77 USD / Hourly
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Houston, Texas, on a long-term contract basis. In this role, you will be responsible for designing, implementing, and optimizing BI solutions that support business decision-making processes. This is an exciting opportunity to collaborate with cross-functional teams and leverage cutting-edge technologies to deliver impactful insights. Responsibilities: • Develop and maintain BI solutions using technologies such as BusinessObjects, Cognos, and DAX. • Collaborate with business users to gather and analyze requirements, translating them into actionable insights. • Create and manage dashboards, reports, and visualizations to support organizational analytics needs. • Work with APIs, including Maps API, to integrate data sources and enhance reporting capabilities. • Optimize data pipelines and workflows using Informatica to ensure accuracy and efficiency. • Design comprehensive Business Requirement Documents (BRDs) that outline project objectives and deliverables. • Perform data analysis to identify trends, patterns, and opportunities for business improvement. • Ensure data security and compliance across all BI processes and solutions. • Provide ongoing technical support and training to business users. • Stay updated on emerging BI technologies and recommend their integration into existing systems.
2026-04-01T00:00:00Z

Business Intelligence (BI) Engineer

Ravenna, OH
onsite
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Business Intelligence (BI) Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will leverage your expertise in data modeling, reporting, and visualization to empower data-driven decision-making. You will design impactful dashboards, streamline reporting processes, and contribute to the organization’s analytics strategy to deliver actionable insights. Responsibilities:• Develop and maintain comprehensive data models to support analytics and reporting needs.• Create unified dashboards by consolidating multiple reports for improved accessibility and efficiency.• Design visually engaging dashboards using Power BI to present clear and actionable insights.• Analyze complex datasets to identify trends, generate user stories, and support decision-making.• Utilize Azure tools such as Databases, Data Lake, and Data Factory to manage and transform data.• Implement and enforce best practices in data governance to ensure accuracy and compliance.• Support the organization’s data strategy to enhance reporting and business intelligence capabilities.• Collaborate with stakeholders to understand requirements and deliver tailored solutions.• Provide technical expertise to improve analytics workflows and processes.
2026-03-09T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-03-03T00:00:00Z

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.
2026-03-16T00:00:00Z

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.
2026-03-31T00:00:00Z

Jr. Data Analyst

Jersey City, NJ
onsite
Permanent
55000 - 60000 USD / Yearly
We are looking for an entry-level Data Analyst to join our team in Jersey City, New Jersey. In this role, you will contribute to optimizing data processes and support data-driven decision-making within the organization. You will work with diverse data sets, automate workflows, and design advanced data models to improve operational efficiency and analytics capabilities. Responsibilities: • Collect, transform, and manage large data sets to streamline sourcing across a wide portfolio of vendors, suppliers, and products. • Standardize and cleanse data from multiple systems to ensure consistency and accuracy. • Validate and aggregate incoming raw data for integration into databases and analytical models. • Address data gaps across various domains to enhance overall data quality. • Extract data from multiple sources to support larger analytics projects and initiatives. • Promote best practices for data usage and management across the organization, including newly acquired entities. • Assist in integrating analytics models into production workflows to optimize functionality.
2026-03-10T00:00:00Z

Data Reporting Specialist

Riviera Beach, FL
onsite
Temporary
0 - 0 USD / Yearly
The Data Reporting Specialist is responsible for data management, reporting, and analysis within our business environment. This role serves as a key point of contact between IT and management, ensuring data integrity, system adoption, and timely reporting for both internal and external stakeholders. Key Responsibilities:<ul><li>Organize, retrieve, and analyze business and operations data across multiple sources/applications.</li><li>Act as a subject matter expert and champion for the organization’s Electronic Medical Records/Electronic Health Records (EMR/EHR) system (Credible Behavioral Health), promoting its adoption.</li><li>Develop and manage scheduled and ad hoc data reports for internal and external consumers, ensuring compliance with organizational standards and requirements.</li><li>Perform regular data uploads and submissions (daily, monthly, quarterly) as required by stakeholders or regulatory agencies.</li><li>Maintain security and confidentiality of all data via appropriate access controls and adherence to relevant security standards.</li><li>Provide direct support to EMR/EHR end-users and coordinate troubleshooting with IT as needed.</li><li>Organize, implement, and manage new hire onboarding, as well as ongoing EMR/EHR system training for staff.</li><li>Participate in meetings, trainings, and provide user support and other data-related tasks as assigned by the supervisor.</li></ul>
2026-02-27T00:00:00Z

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

Data Engineer (AI/ML)- Oil & Gas Exp

Houston, TX
onsite
Contract / Temporary to Hire
57 - 66 USD / Hourly
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps. Responsibilities: • Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data. • Utilize PowerApps to create and maintain applications that support business intelligence initiatives. • Collaborate with cross-functional teams to understand data requirements and implement solutions. • Analyze complex datasets to identify trends and patterns that inform decision-making. • Ensure the accuracy, reliability, and security of data within BI systems. • Optimize data pipelines and workflows for improved performance and scalability. • Provide technical expertise to support AI/ML integration into existing data processes. • Stay updated on emerging technologies and best practices in data engineering and AI/ML. • Troubleshoot and resolve issues related to data tools and processes. • Document processes, workflows, and methodologies for future reference.
2026-03-27T00:00:00Z

Database Engineer

Cleveland, OH
onsite
Permanent
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-03-24T00:00:00Z

AWS/Databricks Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance. Responsibilities: • Develop and implement scalable data engineering solutions using Python and Databricks. • Collaborate with cross-functional teams to design and optimize data workflows. • Migrate and enhance existing Python scripts to Databricks for improved functionality. • Utilize cloud technologies to support data integration and analytics processes. • Implement algorithms and data visualization methods to present actionable insights. • Design and maintain APIs to streamline data interactions and integrations. • Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems. • Perform data analysis and develop strategies to improve system efficiency. • Ensure high-quality data pipelines and address performance bottlenecks. • Stay updated on emerging trends in data engineering and recommend innovative solutions.
2026-04-01T00:00:00Z

Data Integration Developer

Modesto, CA
onsite
Temporary
55 - 62 USD / Hourly
Our client in Modesto is seeking a Data Integration Engineer to support the build-out of their BHRS data platform and modern analytics environment. This is a 6‑month contract role that requires 100% onsite work. Key Responsibilities: •Build, test, and deploy data pipelines using Azure Data Factory, AzureFunctions, and/or custom scripts to ingest data from multiple source systemsinto the BHRS data platform.•Extend the existing SmartCare API integration to pull additional datasets andensure comprehensive EHR data coverage for the dashboard.•Develop new integrations with state-level systems (BHIS, CalOMS, CSI) andcounty internal systems (financial, HR/workforce, compliance tracking) usingAPIs, SFTP, flat file ingestion, or database connectors as appropriate.•Write data transformation and cleansing logic (SQL, Python, or C#) tonormalize, deduplicate, validate, and prepare source data for the analyticaldata model.•Implement error handling, logging, retry logic, and alerting for all datapipelines to ensure reliability and rapid troubleshooting.•Replace placeholder/dummy data in the existing dashboard with live data feeds,validating accuracy and completeness against source systems.•Support the Solutions Architect in implementing the data model, including tablecreation, stored procedures, views, and indexing.•Write and maintain unit tests and integration tests for data pipelines andtransformation logic.•Document all integrations, data mappings, transformation rules, and pipelineconfigurations for ongoing maintenance and knowledge transfer.
2026-04-01T00:00:00Z

Sr. AWS Data Engineer

Atlanta, GA
onsite
Temporary
60 - 67 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

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

Business Intelligence Developer (BI Developer)

Torrance, CA
onsite
Temporary
60 - 65 USD / Hourly
We are seeking an experienced Senior Business Intelligence Developer to design, develop, and support enterprise‑level reporting and analytics solutions. This role focuses on building high‑performance dashboards, semantic layers, and analytical datasets using Power BI, SAP BusinessObjects, and complex SQL across multiple database platforms.The ideal candidate has deep BI development experience, strong data modeling skills, and the ability to partner closely with business stakeholders, data engineering, and architecture teams to deliver accurate, scalable reporting solutions. Key Responsibilities<ul><li>Design, develop, and maintain enterprise BI reports, dashboards, and analytical solutions</li><li>Build advanced dashboards and data models using Power BI, including DAX and performance optimization</li><li>Design and support enterprise reporting solutions using SAP BusinessObjects</li><li>Partner with business stakeholders to gather, analyze, and document reporting and analytics requirements</li><li>Develop complex SQL queries, stored procedures, and optimized data retrieval logic</li><li>Perform backend data analysis across SQL Server, DB2, and Amazon Redshift databases</li><li>Design optimized datasets and semantic layers to support BI and analytics tools</li><li>Troubleshoot data discrepancies, reporting inconsistencies, and performance issues</li><li>Implement data validation and reconciliation logic to ensure reporting accuracy</li><li>Optimize database queries and stored procedures for high‑performance analytics workloads</li><li>Collaborate closely with Data Engineering and Architecture teams to align BI solutions with enterprise data platforms</li><li>Support production BI environments and resolve reporting‑related incidents</li></ul>
2026-03-27T00:00:00Z

Business Intelligence Developer

Jacksonville, FL
remote
Contract / Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for an experienced Business Intelligence Developer to join our team in Jacksonville, Florida. In this role, you will leverage your expertise to transform complex data into actionable insights, enabling informed decision-making across the organization. This Contract position offers the opportunity to collaborate with key stakeholders to design and deliver innovative reporting solutions tailored to evolving business needs. Responsibilities: • Extract and analyze data from diverse systems within the data lake to support reporting and analytics needs. • Design, develop, and maintain Power BI dashboards and interactive visualizations to provide clear insights. • Collaborate with department leaders to gather business requirements and translate them into effective technical solutions. • Perform detailed data analysis to uncover trends and anomalies that drive strategic decisions. • Optimize and manage SQL queries for reporting purposes and data model improvements. • Maintain and enhance existing reports while developing new solutions to address emerging business demands. • Ensure data quality and integrity across analytics platforms. • Partner with data engineering teams to improve data pipelines and enhance data sources. • Contribute to the implementation of data modeling best practices within the analytics environment.
2026-03-27T00:00:00Z

Business Intelligence Developer

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
Design and manage data pipelines, ensuring optimized performance for analytics and reporting. Support BI tools to provide actionable insights for decision-making.
2026-03-18T00:00:00Z

Cloud Engineer

Pittsburgh, PA
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced Cloud Engineer to join our team in Pittsburgh, Pennsylvania. In this role, you will design, implement, and manage cloud infrastructure solutions, ensuring their scalability, security, and reliability. This is a long-term contract position offering the opportunity to work with cutting-edge technologies and contribute to innovative cloud computing projects. Responsibilities: • Design, deploy, and maintain cloud-based infrastructure using AWS services such as EC2, S3, and VPCs. • Monitor system performance, availability, and security using tools like Amazon CloudWatch and GuardDuty. • Automate infrastructure provisioning and updates through Infrastructure as Code tools like Terraform and AWS CloudFormation. • Configure and manage containerized applications using Amazon Elastic Kubernetes Service (EKS), including workload scaling and cluster optimization. • Implement robust security measures, including IAM policies, security groups, and encryption protocols. • Optimize cloud resource usage and costs by leveraging AWS Cost Explorer and implementing savings plans. • Develop and manage disaster recovery solutions, including backups and cross-region replication. • Troubleshoot and resolve issues related to cloud infrastructure, networking, and system performance. • Maintain accurate documentation of cloud architecture, configurations, and operational procedures. • Manage networking components such as subnets, route tables, load balancers, and DNS settings using Route 53.
2026-03-10T00:00:00Z

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