215 results for Big Data Engineer jobs

Data Analyst

Irvine, CA
onsite
Temporary
28 - 32 USD / Hourly
We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery. Key Responsibilities:<ul><li>Execute manual QA testing activities in a weekly release cycle.</li><li>Perform thorough scope testing and regression testing for every release.</li><li>Conduct hands-on testing of Salesforce applications.</li><li>Test integrations with other platforms and validate APIs.</li><li>Create and expand test cases rooted in impacted functionality and new requirements.</li><li>Collaborate closely with developers, product managers, and business stakeholders to understand requirements, priorities, and areas affected by code changes.</li><li>Identify bugs early in the lifecycle before code reaches production.</li><li>Work independently with minimal supervision, proactively raising potential quality concerns.</li><li>Leverage tools such as Postman for API testing.</li><li>Document detailed defect reports and track issues to resolution.</li></ul>
2026-03-10T00:00:00Z

Data Analyst

Irvine, CA
onsite
Permanent
140000 - 170000 USD / Yearly
We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth. Responsibilities:• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.• Provide historical data insights and predictive analysis to support campaign planning.• Ensure compliance with industry regulations and internal standards in all data management and reporting activit
2026-03-03T00:00:00Z

Data Analyst

Delray Beach, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment. Responsibilities: • Gather, clean, and validate data from various sources to ensure consistency and reliability. • Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail. • Support efforts related to data migration, integration, and quality assurance across systems. • Generate timely and accurate reports in response to internal data requests. • Identify and resolve data discrepancies by collaborating with relevant teams. • Document data processes, workflows, and standards to ensure clarity and consistency. • Partner with leadership to analyze data for insights that drive growth, efficiency, and impact. • Conduct forecasting, trend analysis, and reporting to support decision-making. • Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts. • Present data findings in clear and accessible formats suitable for diverse audiences.
2026-02-27T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Contract / Temporary to Hire
39.5865 - 45.837 USD / Hourly
We are looking for a skilled Data Analyst to join our team in Jacksonville, Florida. This Contract to permanent position is ideal for someone who excels at transforming complex datasets into meaningful insights and actionable reports. The role involves leveraging technical expertise to support decision-making and drive business improvements through advanced analytics. Responsibilities: • Gather, analyze, and interpret data from diverse sources to provide actionable insights for business decisions. • Design and maintain Power BI dashboards, automated reports, and interactive visualizations. • Develop and optimize SQL queries to extract, manipulate, and manage large datasets effectively. • Utilize Python for data cleaning, automation, and performing advanced analytics. • Conduct rigorous data validation, quality assurance checks, and reconciliation processes to ensure accuracy. • Create scheduled and on-demand reports tailored to the needs of cross-functional teams. • Identify trends, patterns, and anomalies in data to uncover opportunities for business growth. • Collaborate with stakeholders to define key performance indicators (KPIs) and establish reporting strategies. • Provide recommendations to improve data processes and enhance overall reporting efficiency.
2026-03-19T00:00:00Z

Data Analyst

Fort Lauderdale, FL
onsite
Temporary
25 - 32 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Fort Lauderdale. In this role, you will use your analytical expertise to transform complex data into meaningful insights that drive strategic decision-making. Collaborating with various teams, you will play a key role in refining data processes and creating impactful reports to support our organizational goals. Responsibilities:• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.• Present data findings and recommendations in a clear, concise manner to support business strategies.• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.• Develop methods to improve reporting processes and streamline data workflows.
2026-03-09T00:00:00Z

Data Analyst

Atlanta, GA
onsite
Permanent
75000 - 95000 USD / Yearly
We are seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
2026-02-20T00:00:00Z

Data Analyst

Palo Alto, CA
onsite
Temporary
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely. Responsibilities: • Perform detailed data analysis to identify trends, anomalies, and actionable insights. • Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets. • Collaborate with internal teams to support data-driven decision-making processes. • Extract and process data from systems like Workday, ensuring accuracy and relevance. • Adapt quickly to changing priorities and efficiently handle multiple tasks. • Assist with fraud detection and prevention through data investigation and analytics. • Prepare comprehensive reports and visualizations to effectively communicate findings. • Support the implementation and optimization of tools such as Pave and Radford. • Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals. • Provide training and guidance on system usage and data interpretation as needed.
2026-03-22T00:00:00Z

Data Analyst

Cambridge, MA
onsite
Temporary
55.4135 - 64.163 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals. Responsibilities: • Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively. • Utilize PeopleSoft to extract and manage data for reporting and analytical purposes. • Conduct detailed investigations into suspected fraud cases and provide analytical insights. • Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions. • Collaborate with cross-functional teams to ensure data accuracy and integrity. • Apply anti-fraud measures to detect and prevent fraudulent activities. • Perform thorough data analysis to uncover trends and deliver actionable recommendations. • Maintain documentation of findings and processes to support organizational transparency. • Present findings and recommendations to stakeholders in a clear and concise manner. • Continuously improve reporting processes and tools to enhance data-driven decision-making.
2026-03-20T00:00:00Z

Data Analyst

Richmond, VA
onsite
Temporary
34.0385 - 39.413 USD / Hourly
Position SummaryWe are seeking a detail‑oriented Data Analyst to support our client. A key focus of this assignment will be finalizing and integrating the department’s legacy database into broader organizational data systems.This role is ideal for someone who excels at translating complex data into clear insights for leadership. Key Responsibilities<ul><li>Conduct research and analysis on housing, economic, and demographic trends.</li><li>Evaluate internal data to assess current and emerging housing needs.</li><li>Interpret and communicate the policy implications of research findings for managerial decision‑makers.</li><li>Finalize and support integration of the legacy database with organizational data programs.</li><li>Prepare written reports, dashboards, graphics, and presentations that summarize complex data clearly and concisely.</li><li>Utilize PowerBI or Tableau to develop dashboards and data visualizations.</li><li>Maintain and enhance databases using MS Access and Excel.</li><li>Create presentations and briefing materials using MS PowerPoint.</li><li>(Preferred) Use GIS tools and databases to analyze spatial housing and community development trends.</li></ul>
2026-03-13T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary
38 - 45 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-03-17T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary
40 - 50 USD / Hourly
About the RoleWe’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.Key Responsibilities<ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</li></ul>
2026-03-20T00:00:00Z

Data Analyst

Somerville, NJ
onsite
Temporary
27.7115 - 32.087 USD / Hourly
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions. Responsibilities: • Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives. • Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms. • Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic. • Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements. • Collaborate with teams to define measurement requirements and implement effective tracking solutions. • Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting. • Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders. • Automate routine reporting processes to ensure efficient and consistent data delivery. • Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
2026-03-19T00:00:00Z

Data Analyst

Palm Beach Gardens, FL
onsite
Temporary
0 - 0 USD / Yearly
The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.Key ResponsibilitiesData Management & Preparation<ul><li>Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms.</li><li>Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments.</li><li>Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues.</li></ul>Analysis & Reporting<ul><li>Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights.</li><li>Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker.</li><li>Prepare regular operational, financial, or performance reports for business units and leadership.</li><li>Translate business questions into analytical approaches and summarize findings clearly for stakeholders.</li></ul>SQL & Database Work<ul><li>Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases.</li><li>Optimize query performance and support development of reusable SQL logic for reporting and analytics.</li><li>Collaborate with data engineers on schema changes, new data pipelines, and data model improvements.</li></ul>Advanced Analytics & Automation<ul><li>Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort.</li><li>Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed.</li><li>Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives.</li></ul>Cross‑Functional Collaboration<ul><li>Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions.</li><li>Gather user requirements, define scope, and manage expectations throughout analytics projects.</li><li>Present insights and recommendations to leadership in a clear, structured format.</li></ul>Data Governance & Best Practices<ul><li>Ensure compliance with internal data standards, privacy rules, and access policies.</li><li>Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business.</li><li>Support continuous improvement of analytics processes, dashboards, and metrics.</li></ul>
2026-03-13T00:00:00Z

Data Analyst

Cincinnati, OH
remote
Temporary
69.35 - 80.3 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets. Responsibilities: • Analyze large datasets to identify trends, anomalies, and potential fraudulent activities. • Develop and implement fraud detection models and analytics tools. • Collaborate with fraud investigation teams to provide data-driven insights and recommendations. • Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting. • Create detailed reports and visualizations to support anti-fraud initiatives. • Enhance existing fraud prevention strategies through continuous data analysis. • Conduct regular audits of data systems to ensure accuracy and reliability. • Work closely with cross-functional teams to improve fraud detection capabilities. • Maintain and safeguard data integrity throughout all analytical processes.
2026-03-20T00:00:00Z

Data Scientist: III

Columbus, OH
onsite
Temporary
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-03-18T00:00:00Z

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.
2026-03-18T00:00:00Z

Business Intelligence Engineer

Houston, TX
onsite
Temporary
40 - 50 USD / Hourly
Overview We are seeking a Power BI Developer to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in Power BI, SQL, and ETL processes, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams. Key Responsibilities<ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex SQL queries and ETL processes to support analytics and reporting needs.</li><li>Build scalable Power BI data models using star schema and dimensional modeling best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>
2026-03-09T00:00:00Z

Data Governance & Data Quality Platform Engineer

Houston, TX
onsite
Temporary
57 - 62 USD / Hourly
Position OverviewWe are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.Key Responsibilities 1. Platform Engineering & Administration<ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul>e2. Integration & Automation<ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul> 3. Performance, Reliability & Monitoring<ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul>a4. Technical Support & Issue Resolution<ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul>r5. Security, Compliance & Risk Management<ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
2026-02-27T00:00:00Z

Sr. Data Engineer

Las Vegas, NV
onsite
Permanent
120000 - 125000 USD / Yearly
We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration. The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms. Key Responsibilities Design, build, and maintain data pipelines within Google Cloud Platform (GCP) Develop event-driven data streaming solutions using Pub/Sub Build and maintain Python-based services using Cloud Run Develop and optimize BigQuery datasets and queries Integrate new data sources into the enterprise data platform Maintain and support existing ETL processes within SQL Server Work with SSIS and stored procedures in legacy data environments Monitor, troubleshoot, and optimize data pipeline performance Collaborate with engineering teams to support data-driven initiatives Participate in on-call rotations for production systems Required Qualifications 5+ years of experience in Data Engineering Strong experience with Google Cloud Platform (GCP) Experience building data pipelines and ETL processes Experience with Pub/Sub or event-driven data streaming Strong experience with BigQuery Proficiency in Python Experience with Cloud Run or similar serverless services Strong SQL experience including SQL Server Experience with SSIS or similar ETL tools
2026-03-06T00:00:00Z

Business Analytics/Data Analyst

Erlanger, KY
onsite
Temporary
47.5 - 55 USD / Hourly
We are looking for a skilled Master Data Analyst to play a critical role in managing and maintaining master data across various platforms. In this long-term contract position, you will ensure data accuracy, integrity, and compliance with industry standards while collaborating with cross-functional teams to optimize system performance. Based in Northern KY, this role offers an opportunity to contribute to global data harmonization initiatives and support business intelligence efforts. This is a 6-month contract opportunity - hybrid with 3 days onsite. No remote availability for this role. Responsibilities:• Create and maintain accurate master data for finished goods across multiple platforms, adhering to established standards.• Collaborate with corporate IT teams to enhance system performance and implement data optimization strategies.• Oversee the publication process to ensure accurate data sharing with customers through designated platforms.• Conduct regular data audits and utilize customer scorecards to verify the integrity of master data.• Ensure compliance with GS1 guidelines, including updates to product dimensions, weights, and hierarchical information.• Partner with cross-functional teams to verify the accuracy of nutritional, allergen, and barcode information on artwork.• Develop and manage bills of materials (BOMs) and routers for co-packed manufacturing operations.• Lead initiatives to harmonize global data standards across U.S. and Canadian operations.• Manage the lifecycle of items, including the setup of new products and the obsolescence of outdated items.• Provide key metrics and analytics to track the efficiency of new product introductions and other data processes.
2026-03-18T00:00:00Z

Business Analytics/Data Analyst

Center Point, AL
onsite
Contract / Temporary to Hire
45 - 65 USD / Hourly
We are looking for an Information Systems Developer to join our client's team in Birmingham, Alabama. In this role, you will play a key part in developing and optimizing data-driven solutions that support manufacturing operations and decision-making processes. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative projects within the automotive manufacturing industry. Responsibilities:• Develop and implement advanced data analytics and business intelligence solutions to enhance operational efficiency.• Create and maintain dashboards and visualization tools using Power BI to present actionable insights.• Analyze business systems, workflows, and manufacturing processes to identify opportunities for improvement.• Design and deploy scalable software applications and automation tools using programming languages such as Python and C#.• Integrate data from shop-floor systems and automation equipment into unified reporting platforms.• Build and configure real-time monitoring and data collection systems using tools like Ignition.• Collaborate with cross-functional teams to present project updates and technical information.• Conduct troubleshooting and root cause analysis to improve digital manufacturing processes.• Mentor entry level developers and provide technical guidance on Industry 4.0 initiatives.• Ensure seamless communication and connectivity between machines, systems, and data interfaces
2026-03-16T00:00:00Z

Senior / Lead Database Engineer

Wayne, PA
onsite
Permanent
140000 - 150000 USD / Yearly
The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
2026-03-05T00:00:00Z

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.
2026-03-18T00:00:00Z

Data/Information Architect

New York, NY
onsite
Temporary
66.5 - 77 USD / Hourly
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights. Responsibilities: • Develop and maintain enterprise data models that support analytics, reporting, and operational needs. • Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements. • Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance. • Collaborate with stakeholders to gather data requirements and ensure business objectives are met. • Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments. • Establish governance processes, including metadata management, data lineage, and quality assurance protocols. • Define and manage canonical data models across key business domains to ensure consistency. • Document and enforce data modeling standards to drive adoption across engineering teams. • Assess and enhance existing data models, identifying areas for improvement in performance and alignment. • Provide strategic guidance on data management tools and technologies to support organizational goals.
2026-03-20T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-02-24T00:00:00Z

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