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155 results for Data Science jobs

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

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.
2026-04-21T00:00:00Z

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

Bellevue, WA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half Technology is seeking a mid-to-senior level Data Engineer to support the modernization of an existing data environment for a client in Bellevue, Washington. This role will focus on rearchitecting data pipelines into Databricks, improving performance, and establishing scalable data architecture and governance. This is a hands-on role in a fast-paced, less structured environment, ideal for someone who takes ownership and can operate with autonomy. Duration: Long-term contract with potential for extension or conversionLocation: Bellevue, Washington (3-days onsite working hybrid)Schedule: Monday-Friday (9AM-5PM PST) Key Responsibilities<ul><li>Rebuild and optimize existing Python-based ETL pipelines within Databricks </li><li>Design and implement scalable data ingestion and transformation processes </li><li>Architect and maintain data marts and data warehouse structures </li><li>Implement Medallion Architecture (Bronze, Silver, Gold layers) </li><li>Improve performance of data processing workflows (reduce runtimes, optimize queries) </li><li>Support migration and consolidation of data into Databricks </li><li>Document data pipelines, tables, and architecture for governance and maintainability </li><li>Define best practices for data storage, organization, and access </li><li>Ensure alignment with existing compliance and data standards </li></ul>
2026-04-30T00:00:00Z

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

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

Grandville, MI
remote
Temporary to Hire
40 - 55 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-04-24T00:00:00Z

Data Engineer

Carmel, IN
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will design, build, and optimize data pipelines and systems to support business needs. The ideal candidate will bring expertise in data engineering tools and frameworks, along with a passion for solving complex challenges. Responsibilities: • Develop and maintain robust data pipelines using modern frameworks and tools. • Implement ETL processes to ensure accurate and efficient data transformation. • Optimize data storage and retrieval systems for performance and scalability. • Collaborate with cross-functional teams to understand data requirements and deliver solutions. • Utilize Apache Spark and Hadoop for large-scale data processing. • Work with Databricks to streamline data workflows and enhance analytics. • Apply machine learning techniques using tools like scikit-learn and Pandas. • Integrate Kafka for real-time data streaming and processing. • Analyze and troubleshoot data-related issues to ensure system reliability. • Document processes and workflows to support future development and maintenance.
2026-04-15T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing and distribution company is looking for a Data Engineer with 3 + yeasr of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practice
2026-05-01T00:00:00Z

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.
2026-04-07T00:00:00Z

Data Engineer

Memphis, TN
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are supporting our client in hiring a Product Data Engineer who will take full ownership of their product information environment. This role centers on managing their PIM solution (Salsify), improving data structures, and building automated, API‑driven integrations that ensure product data is clean, scalable, and synchronized across platforms.This position will be deeply involved in a major product‑data overhaul, including cleanup, restructuring, and long‑term system improvements. The ideal candidate is someone who enjoys solving data problems, building automated workflows, and improving the reliability of product information across systems. Key ResponsibilitiesProduct Data Platform Ownership<ul><li>Act as the primary administrator for the PIM platform</li><li>Define and maintain product attributes, hierarchies, and data relationships</li><li>Create validation rules, formulas, and workflows to enforce data standards</li><li>Manage permissions, governance, and platform configuration</li><li>Troubleshoot issues related to imports, exports, and publishing</li></ul>Integrations & Automation<ul><li>Manage integrations between the PIM and internal/external systems (eCommerce, retail, etc.)</li><li>Build and support API‑based data flows with a focus on reliability and scale</li><li>Develop automation using scripting (Python preferred)</li><li>Support event‑driven or automated pipelines to reduce manual work</li><li>Monitor integration performance and proactively resolve failures</li></ul>Product Data Improvements<ul><li>Contribute to a large‑scale product data cleanup and restructuring effort</li><li>Identify gaps in current data models and workflows</li><li>Partner with cross‑functional teams to define scalable data standards</li><li>Improve system design to support long‑term growth</li></ul>Channel Syndication<ul><li>Manage product data distribution to digital and retail channels</li><li>Ensure data meets channel‑specific requirements</li><li>Troubleshoot publishing issues and improve success rates</li><li>Support product launches and updates across channels</li></ul>Data Governance & Quality<ul><li>Establish naming conventions, validation rules, and governance standards</li><li>Define and track data quality KPIs (accuracy, completeness, timeliness)</li><li>Utilize or support data governance tools</li><li>Work with business teams to improve data accountability</li></ul>Reporting & Metrics<ul><li>Build dashboards and reports on data quality and system performance</li><li>Provide insights to leadership to support decision‑making</li><li>Track syndication outcomes and operational metrics</li></ul>Operational Support<ul><li>Handle day‑to‑day platform usage, enhancements, and issue resolution</li><li>Prioritize incoming requests and tickets</li><li>Ensure stability and reliability of product data operations</li></ul>
2026-04-21T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Data Engineer – CRM Integration (Hybrid in San Fernando Valley)Location: San Fernando Valley (Hybrid – 3x per week onsite)Compensation: $140K–$170K annual base salaryJob Type: Full Time, PermanentOverview:Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.Responsibilities:<ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul>
2026-04-03T00:00:00Z

Business Analytics/Data Analyst

Stamford, CT
remote
Temporary / Contract
60 - 65 USD / Hourly
Our client in the Lower Fairfield, CT area has an opening for Business Analyst Consultant. In this long-term contract role, you will play a pivotal part in driving data-driven insights and supporting strategic decisions across a dynamic organization. The ideal candidate will bring a wealth of expertise in data analysis and business intelligence, paired with a deep understanding of industry-specific practices. Responsibilities:• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.• Collaborate with teams to deliver actionable insights based on cleaned and organized data.• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.• Ensure high levels of accuracy and attention to detail in all data-related outputs.• Support strategic decision-making by analyzing transaction timelines and other critical metrics.• Apply knowledge of private equity operations to optimize data reporting and visualization.• Develop and maintain data visualization tools to communicate findings effectively.• Manage the integration and analysis of data across multiple operating systems.• Partner with senior executives to align analytics initiatives with organizational goals.If you are interested in this Business Analyst role, please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analyst"
2026-04-23T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas. Responsibilities: • Conduct detailed data analysis to identify patterns, trends, and actionable insights. • Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies. • Perform audits of commercial contracts to ensure compliance and accuracy. • Abstract and analyze key terms from contracts to support decision-making. • Collaborate with cross-functional teams to gather data requirements and optimize analytics processes. • Utilize advanced data analytics tools to process and interpret large datasets. • Provide recommendations to improve business operations based on data findings. • Ensure the integrity and security of data used for analysis and reporting. • Support the organization in leveraging data for strategic planning and forecasting.
2026-05-01T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary / Contract
53 - 58 USD / Hourly
Data Scientist III (Senior)Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job SummaryA leading financial services organization is seeking a skilled and data‑driven Senior Data Scientist to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
2026-04-28T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-04-22T00:00:00Z

Director of Data Science

Saint Charles, MO
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for a dynamic Director of Data Science to join our team on a contract to hire basis in Saint Charles, Missouri. This is a unique opportunity to lead data governance initiatives, transform data into a strategic asset, and drive organizational impact within the education sector. The ideal candidate will thrive in a collaborative environment, working across departments to establish robust data frameworks and ensure compliance with industry standards. Responsibilities:<ul><li>Develop and implement a comprehensive data governance strategy aligned with organizational goals, AI readiness, and regulatory requirements.</li><li>Establish data governance frameworks, policies, and standards to ensure data integrity, access, and compliance.</li><li>Lead cross-functional teams to drive data stewardship, data quality initiatives, and data lifecycle management.</li><li>Select and implement data governance tools and platforms (e.g., data cataloging, stewardship, lineage).</li><li>Define and operationalize data stewardship models across the university.</li><li>Oversee data quality initiatives, including monitoring, remediation, and reporting.</li><li>Develop and enforce data quality KPIs and dashboards to track progress and impact.</li><li>Facilitate training and awareness programs on data governance best practices across the organization.</li><li>Collaborate with IT, legal, and compliance teams to ensure data governance aligns with technological and regulatory landscapes.</li><li>Measure and report on data governance effectiveness and drive continuous improvement initiatives.</li><li>Serve as a trusted advisor to executive leadership on data governance and management issues.</li></ul>
2026-04-27T00:00:00Z

Data Reporting Analyst

Robbinsville, NJ
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
Data Reporting AnalystWe are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.Responsibilities<ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul>
2026-04-20T00:00:00Z

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

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.
2026-05-01T00:00:00Z

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

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 Engineer - Python

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

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50 - 55 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-04-20T00:00:00Z

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