135 Results for Data Scientist Jobs in Usa

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Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the 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. You must live in the Oklahoma City area. Client is unable to sponsor. 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 practices.
2026-10-28T00:00:00Z

Data Analyst

Diamond Bar, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy. Responsibilities: • Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions. • Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities. • Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information. • Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting. • Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation. • Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly. • Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements. • Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
2026-10-23T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
35.15 - 40.7 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes. Responsibilities: • Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts. • Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy. • Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights. • Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders. • Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability. • Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity. • Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting. • Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
2026-10-28T00:00:00Z

Data Analyst

De Pere, WI
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
2026-10-21T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting. • Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities. • Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements. • Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews. • Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers. • Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights. • Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements. • Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
2026-10-07T00:00:00Z

Data Analyst

Cincinnati, OH
remote
Temporary / Contract
75 - 85 USD / Hourly
Robert Half is seeking an IFS Enterprise Asset Management (EAM) Solution Architect to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! Duration: 3 months contract with potential to extend, depending on performance Location: 100% Remote, occasional travel to SeattleSchedule: Open to candidates who’d be interested in Part Time or Full Time work Key Responsibilities<ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
2026-10-30T00:00:00Z

Data Analyst

Tallahassee, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.Responsibilities<ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul>Qualifications<ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul>
2026-10-15T00:00:00Z

Data Analyst

Moline, IL
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-10-02T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
33 - 37 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business. Responsibilities: • Create analytical models and decision-support templates to assess new business and converted opportunities. • Evaluate deal economics by examining margins, pricing structures, and overall commercial viability. • Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions. • Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points. • Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability. • Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes. • Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
2026-10-28T00:00:00Z

Data Analyst

Nashville, TN
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment. Responsibilities: • Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations. • Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness. • Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work. • Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents. • Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes. • Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps. • Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed. • Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
2026-10-01T00:00:00Z

Data Scientist, Growth Analytics

San Francisco, CA
remote
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. Responsibilities:• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions• Present findings and recommendations to executive stakeholders in a concise and actionable way• Provide guidance to other analytics contributors and help raise standards for high-impact data science work
2026-10-30T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-21T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
40.85 - 47.3 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a Contract position based in Arlington, Texas. This role focuses on transforming complex contract and business data into clear insights that improve reporting, compliance awareness, and operational performance. The ideal candidate will combine strong analytical capability with business intelligence expertise to interpret trends, validate information, and deliver actionable recommendations. Responsibilities: • Analyze business and contract-related data to identify patterns, exceptions, and opportunities for improved decision-making. • Build and maintain business intelligence reports, dashboards, and visual summaries that present findings clearly to stakeholders. • Review commercial contract information and related records to support audits, data validation, and reporting accuracy. • Extract, organize, and abstract data from multiple sources to create reliable datasets for analysis and business review. • Use analytical tools to evaluate performance metrics, contract terms, and operational results across key business areas. • Partner with internal teams to clarify reporting needs, refine data requirements, and provide insight into business trends. • Monitor data quality by investigating inconsistencies, resolving discrepancies, and promoting accurate documentation standards. • Prepare concise summaries and recommendations that help leadership understand risks, results, and areas for improvement.
2026-10-28T00:00:00Z

Business Analytics/Data Analyst

Belmont, NC
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for an experienced Business Analytics/Data Analyst to support a contract financial data review initiative for a higher education organization in North Carolina. This 3-month assignment is suited for a hands-on accounting and analytics specialist who can investigate reporting inconsistencies, validate financial data, and strengthen trust in management reporting. The role will work closely with finance leadership to examine complex records, resolve discrepancies, and deliver clear, fact-based insights that improve reporting accuracy. Responsibilities: • Examine financial and operational information across Financial Edge and Colleague to uncover inconsistencies and support accurate reporting. • Complete detailed reconciliations involving balance sheet accounts, subsidiary records, general ledger activity, and transaction-level data. • Investigate historical accounting entries to confirm balances, explain variances, and resolve outstanding issues. • Review payroll distributions and expense coding to verify that costs are assigned appropriately across departments and functions. • Assist with month-end accounting tasks by preparing journal entries, analyzing accruals, and supporting close-related reviews. • Evaluate the effectiveness of current reporting structures and identify areas where corrections or refinements are needed. • Create concise documentation of findings, reconciliation methods, and recommended process improvements for finance stakeholders. • Partner with accounting and finance leadership to provide practical recommendations that increase confidence in financial data integrity. • Use advanced Excel and related reporting tools to analyze large data sets and produce ad hoc financial reporting as needed.
2026-10-30T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

Data Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T00:00:00Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T00:00:00Z

Data Analyst Data Visualization and AI Tools

Stamford, CT
onsite
Temporary / Contract
28 - 35 USD / Hourly
Job SummaryWe are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.Key Responsibilities<ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul>
2026-10-23T00:00:00Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48 - 54 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-10-16T00:00:00Z

Director of Data & Analytics

Worcester, MA
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence. Responsibilities:• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.
2026-10-14T00:00:00Z

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