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332 results for Data Analyst Technology jobs

Data Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul>Responsibilities<ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
2026-04-23T00:00:00Z

Data Specialist

Matawan, NJ
onsite
Temporary to Hire
23 - 25 USD / Hourly
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment. Responsibilities: • Maintain accurate product, vendor, store, and employee records across internal databases and business systems. • Set up new item information for merchandising teams and update existing records to reflect current business needs. • Review promotional data and offers carefully, identifying inconsistencies and making corrections before release. • Examine data across multiple applications to verify completeness, consistency, and overall quality standards. • Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed. • Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices. • Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results. • Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
2026-05-15T00:00:00Z

Data Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul> Responsibilities<ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
2026-04-23T00:00:00Z

Master Data Analyst

Erlanger, KY
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Master Data Analyst to support technical data quality and material information management for R&D, quality, and operational teams in Cincinnati, Ohio or Rockford, Illinois. This Long-term Contract position focuses on maintaining reliable raw material and packaging data that helps drive product development, supplier readiness, and manufacturing execution. The role calls for a highly organized, detail-oriented individual who can work across multiple functions, improve data consistency, and ensure critical system records remain accurate and complete. This is a HYBRID role - remote consultants will not be considered. Consumer Product Goods industry experience is highly desired! Responsibilities:• Manage the collection, review, and entry of raw material and packaging specifications into approved specification and data management systems.• Verify that technical records are complete, accurate, and aligned with internal standards, regulatory expectations, and operational needs.• Improve consistency across systems by applying standardized naming structures, formatting rules, and data governance practices.• Investigate missing, outdated, or conflicting material information and resolve issues in partnership with cross-functional stakeholders.• Maintain material master data and support correct relationships between specifications, item records, and related system information in SAP-based environments.• Create, revise, and validate bills of materials to match approved specifications and current production requirements.• Support data activities tied to new product development, supplier updates, and ongoing process improvement initiatives.• Coordinate with Master Data, Procurement, Packaging, Quality, and Operations teams to ensure information supports real manufacturing and planning requirements.• Track assigned project deliverables, maintain supporting documentation, and contribute to process standardization efforts across technical data workflows.
2026-05-07T00:00:00Z

Data/BI Analyst

Fort Mill, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, build, and maintain interactive dashboards and reports using Microsoft Power BI to support business decision-making</li><li>Develop and optimize complex SQL queries, views, and stored procedures for data extraction, transformation, and analysis</li><li>Create and manage data models within Microsoft Power BI, including relationships, hierarchies, and performance tuning</li><li>Write advanced calculations and measures using DAX to deliver meaningful business insights</li><li>Use Power Query to clean, transform, and shape data from multiple sources</li><li>Integrate data from various systems (ERP, CRM, flat files, APIs) into cohesive reporting datasets</li><li>Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency</li><li>Partner with business stakeholders to gather reporting requirements and translate them into technical solutions</li><li>Analyze trends, patterns, and anomalies to provide actionable insights and recommendations</li><li>Optimize report performance, including dataset design, query efficiency, and refresh strategies</li><li>Maintain documentation for data sources, models, and reporting logic</li><li>Support ad hoc data requests and exploratory analysis</li><li>Collaborate with data engineering and IT teams on data pipelines, warehousing, and governance initiatives</li></ul>
2026-05-06T00:00:00Z

Data Security Analyst

Southfield, MI
onsite
Permanent / Full Time
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>
2026-05-05T00:00:00Z

Data Automation Engineer

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Position OverviewWe are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models. Key ResponsibilitiesData Engineering & Automation<ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul>Performance Testing & Optimization<ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul>Platform Collaboration & DevOps Support<ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
2026-05-11T00:00:00Z

Power BI Data Analyst

Tampa, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
Full time position located on-site in Tampa, in-office is a requirement of our client. We are looking for a Power BI Data Analyst to join our team in Tampa, Florida. This role focuses on transforming complex business data into clear reporting, predictive insights, and practical decision-support tools that help teams make informed choices. The ideal candidate combines strong Power BI expertise with analytical depth, statistical knowledge, and the ability to communicate findings through effective visual storytelling. Responsibilities:• Build and deliver BI solutions that address reporting and analytical needs across multiple business areas using Microsoft-based technologies.• Develop, publish, and support Power BI dashboards, reports, and underlying reporting environments across on-premises and cloud platforms.• Create and maintain advanced queries, calculations, and reusable data functions to support reliable analysis and reporting.• Examine data quality, validate performance, and ensure datasets align with sound testing practices and accurate business logic.• Perform exploratory analysis and statistical modeling to uncover trends, patterns, and actionable insights from structured and unstructured data.• Design clear visual presentations that translate analytical results into business-facing recommendations for stakeholders and leadership.• Enhance existing models, scoring approaches, and analytical methods to improve portfolio segmentation and predict payment behavior more effectively.• Develop pricing and liquidation models, including curve analysis and related business frameworks, to strengthen purchasing decisions based on historical account outcomes.• Monitor processes through troubleshooting, quality checks, documentation updates, and ongoing improvements to analytical workflows and data methods.• Partner with IT and cross-functional teams to design, implement, and maintain analytics tools from concept through deployment.
2026-05-06T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-05-12T00:00:00Z

Data Engineer

West Chester, PA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies. Responsibilities: • Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making. • Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL. • Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems. • Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs. • Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency. • Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions. • Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption. • Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
2026-04-22T00:00:00Z

Data Engineer

Glendale, CA
onsite
Temporary / Contract
82 - 87 USD / Hourly
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-05-11T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
54 - 56 USD / Hourly
We are looking for a Data Engineer to join a growing Data & Reporting team in Austin, Texas. This contract opportunity with potential for a permanent role is ideal for a detail-oriented candidate who can turn complex business data into reliable reporting solutions that support informed decision-making across the organization. In this role, you will help build and maintain the data foundation behind dashboards, reports, and analytics tools while partnering with stakeholders to translate business needs into scalable technical solutions. Responsibilities: • Build and enhance data architectures that collect, structure, and deliver information for reporting and analytics use across the organization. • Design, develop, and support end-to-end ETL processes, moving data from source systems into data warehouses, operational stores, and business intelligence platforms. • Partner with business subject matter experts to identify data sources, define reporting needs, and shape data models that align with operational goals. • Create and maintain database solutions that support efficient storage, retrieval, performance tuning, and ongoing system reliability. • Administer server databases by handling upgrades, patching, troubleshooting, and optimization activities to ensure stable production environments. • Develop logical and conceptual data models and expand enterprise data structures to accommodate new business requirements and incoming data sources. • Translate business questions into technical specifications and build reporting-ready datasets, metadata, and presentation-layer objects for dashboards and self-service analytics. • Support data migration efforts from legacy platforms to modern solutions, including development, testing, deployment preparation, and code promotion activities. • Work closely with stakeholders to determine which metrics and data elements provide the most value for visual reporting and decision support. • Contribute to additional data engineering and reporting initiatives as business priorities evolve.
2026-05-12T00:00:00Z

Data Engineer

Tampa, FL
onsite
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.
2026-05-06T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
30 - 40 USD / Hourly
Data EngineerOn-site | Austin, TX | Contract Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization. Responsibilities:• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.
2026-05-08T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality. Responsibilities: • Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use. • Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources. • Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows. • Work with Hadoop-based environments to manage distributed data processing and storage activities. • Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing. • Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency. • Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
2026-05-13T00:00:00Z

Data Engineer

Camden, NJ
onsite
Permanent / Full Time
90000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes. Responsibilities:• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.
2026-04-30T00:00:00Z

Data Engineer

Montvale, NJ
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-04-28T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent / Full Time
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.
2026-05-08T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to support the design, development, and maintenance of scalable data solutions within a Microsoft-focused environment. This role will work closely with business and technical teams to support reporting, analytics, and data integration initiatives.Responsibilities<ul><li>Develop and maintain data pipelines and ETL processes</li><li>Support data integration and transformation efforts</li><li>Build and optimize SQL queries, stored procedures, and database solutions</li><li>Assist with data warehousing and reporting initiatives</li><li>Monitor data quality, integrity, and system performance</li><li>Collaborate with analysts, developers, and business stakeholders</li><li>Support documentation and troubleshooting efforts</li></ul>
2026-05-12T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-05-14T00:00:00Z

Data Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is seeking a Data Engineer to build, scale, and lead high‑impact data solutions. This role combines hands‑on data engineering with team leadership, mentoring, and oversight of end‑to‑end analytics pipelines that turn raw data into actionable business insights.This role will be Business facing, working with departments across the organization to address data solutions.This role is Onsite in Albuquerque, New Mexico What You’ll DoLead and mentor a team of data engineers and analysts; set standards, review work, and support professional growthDesign, build, and oversee scalable ETL pipelines using Python, SQL, SSIS, and AirflowDevelop dimensional data models using Kimball methodologyCreate dashboards and reports using Power BI and SSRSPartner with business and IT stakeholders on analytics, ad hoc reporting, and data initiativesEnsure data quality, governance, and compliance with PCI, PII, and regulatory standardsAutomate workflows and reporting using Python, PowerShell, and modern analytics toolsOther duties as needed
2026-04-24T00:00:00Z

Data Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
2026-04-22T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-05-12T00:00:00Z

Data Engineer

Asheboro, NC
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are looking for an experienced Data Engineer to design and support data exchange solutions that connect external business partners with internal systems. This role will mainly work remotely with different office locations. We are looking for a candidate who lives in NC, within 2 hours of Greensboro, NC. This role focuses on building reliable integration processes, transforming structured files and API-based data, and ensuring critical information is available for reporting and operational use. The ideal candidate brings strong technical depth in data movement and troubleshooting, along with a practical understanding of manufacturing and supply chain workflows. Responsibilities:• Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures.• Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12.• Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement.• Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance.• Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing.• Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making.• Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions.• Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats.• Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention.
2026-05-01T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Seeking a Data Engineer to build and maintain data pipelines and reporting systems.Responsibilities<ul><li>Design and maintain ETL processes</li><li>Work with large datasets in SQL</li><li>Optimize database performance</li><li>Support BI/reporting teams</li></ul>
2026-05-05T00:00:00Z

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