290 results for Data Engineer jobs

Data Analyst

Spring, TX
remote
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you. Responsibilities: • Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities. • Develop and implement fraud detection strategies using advanced analytics and investigative techniques. • Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives. • Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions. • Create reports and dashboards to communicate findings and support decision-making processes. • Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness. • Monitor ongoing transactions and activities to detect and mitigate potential fraud risks. • Work closely with stakeholders to understand business needs and deliver impactful data analysis. • Ensure the accuracy and integrity of data used for fraud analytics and reporting. • Provide training and guidance to team members on fraud analytics best practices.
2026-04-06T00:00:00Z

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.
2026-03-26T00:00:00Z

Data Analyst

Glendale, CA
onsite
Temporary
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation. Responsibilities:• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.• Develop and implement fraud detection models and algorithms to enhance risk management.• Investigate suspicious transactions and activities to identify potential fraud cases.• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.• Monitor and refine anti-fraud systems based on emerging threats and trends.• Conduct research to stay informed about new fraud schemes and data analysis techniques.• Ensure data integrity and accuracy while working with sensitive information.• Provide actionable insights that help drive business decisions and improve operational efficiency.
2026-03-26T00:00:00Z

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

Philadelphia, PA
onsite
Temporary
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-04-06T00:00:00Z

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

Belgrade, ME
onsite
Temporary
0 - 0 USD / Yearly
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies. Responsibilities: • Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems. • Develop and manage Azure-based Data Lakes and associated cloud data services. • Lead large-scale data migration projects from on-premise systems to Azure cloud environments. • Create scalable data models and curated datasets to support business intelligence and reporting. • Ensure data integrity, quality, governance, and security throughout all workflows. • Collaborate with technical and business teams to translate requirements into impactful data solutions. • Optimize data architectures to improve performance and scalability. • Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers. • Monitor and troubleshoot data workflows to ensure seamless operations.
2026-04-01T00:00:00Z

Data Analyst

Minneapolis, MN
remote
Temporary
25 - 28 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions. Responsibilities: • Resolve data-related incidents by updating records and querying various data sources. • Apply specialist quality standards to maintain data integrity. • Validate data accuracy across multiple systems to ensure consistency. • Update client data based on specific requirements while adhering to service level agreements. • Configure software applications both before and after system go-live. • Collaborate with care organizations to gather and update data in alignment with requirements. • Provide support in managing data updates and ensuring the availability of accurate information. • Utilize advanced Excel formulas to standardize and compare data efficiently. • Foster effective communication with clients and stakeholders to address data needs and changes.
2026-04-01T00:00:00Z

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

Phoenix, AZ
onsite
Temporary
47.5 - 55 USD / Hourly
The Data Migration Specialist is responsible for planning, executing, validating, and reconciling data migrations from legacy systems into ERP and operational platforms. This role ensures that historical and transactional data is migrated accurately, completely, and in alignment with business and regulatory requirements.This role is execution-focused and works within the standards defined by the Data Architect.Key responsibilitiesMigration planning and execution<ul><li>Analyze legacy data sources and assess data readiness for migration.</li><li>Develop data extraction, transformation, and load (ETL) plans aligned to target systems.</li><li>Build and execute migration scripts, tools, and repeatable migration processes.</li><li>Perform mock conversions and final production cutovers.</li></ul>Data mapping and transformation<ul><li>Create detailed source-to-target mapping documents.</li><li>Apply transformation rules, data cleansing logic, and enrichment where required.</li><li>Validate that migrated data aligns with target ERP configuration and business rules.</li></ul>Data validation and reconciliation<ul><li>Perform row-level and aggregate reconciliations pre- and post-migration.</li><li>Validate financial balances, open transactions, and historical records.</li><li>Partner with finance and operations teams to confirm business signoff.</li><li>Document issues, resolutions, and lessons learned for reuse.</li></ul>ERP and OpCo rollout support<ul><li>Support phased ERP and OpCo migrations.</li><li>Participate in cutover planning and execution.</li><li>Support hypercare by resolving migration-related defects and data issues.</li><li>Maintain migration runbooks and documentation.</li></ul>
2026-04-02T00:00:00Z

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

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

Database Developer

Dublin, OH
onsite
Temporary
55 - 60 USD / Hourly
We are looking for a skilled Database Developer to join our team in Dublin, Ohio. In this long-term contract position, you will play a pivotal role in developing, configuring, and optimizing Varicent systems to support incentive models, reporting, and data workflows. This is an excellent opportunity for someone with strong attention to detail to contribute to cutting-edge compensation operations. Responsibilities: • Design, build, and test calculation logic and data stores for incentive models within Varicent systems. • Configure and maintain workflows, crediting rules, quotas, payout logic, and model updates to ensure seamless operation. • Develop and optimize Presenter Adaptive Reports to deliver dashboards, payout summaries, audit views, and analytics. • Implement and refine data validation routines and import processes to ensure accuracy and compliance. • Create dynamic and interactive reports to visualize metrics related to compensation plans, performance, and payouts. • Conduct regression testing, data validation, and audits to maintain model accuracy and reliability. • Troubleshoot discrepancies and anomalies in payouts, workflows, and other operational processes. • Utilize Varicent Web Admin tools to administer workflows, configure model settings, and support user interactions. • Stay up-to-date on Varicent updates, adopting new features and best practices to improve processes. • Identify opportunities for automation and optimization to enhance compensation operations.
2026-03-27T00:00:00Z

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>
2026-03-23T00:00:00Z

Data Warehouse Analyst

Princeton, NJ
onsite
Permanent
70000 - 80000 USD / Yearly
We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions. Responsibilities:• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.• Automate reporting processes to improve accuracy and timeliness of operational data.• Continuously enhance data integrity and streamline workflows to optimize logistics operations.• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
2026-03-18T00:00:00Z

Senior Data Engineer

Philadelphia, PA
remote
Temporary
56 - 65 USD / Hourly
OverviewWe are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization. Key ResponsibilitiesData Engineering & Migration<ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul>Development & Infrastructure<ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul>Quality, Documentation & Support<ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul>Collaboration<ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul>
2026-03-12T00:00:00Z

Senior Data Engineer

Boston, MA
onsite
Permanent
150000 - 170000 USD / Yearly
We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. Responsibilities:• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.• Oversee and manage external consultants assisting with the development of the data platform.• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.• Optimize database performance across SQL, NoSQL, and other database systems.• Utilize Python for data engineering tasks, including scripting and automation.• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.• Ensure compliance with industry standards and best practices in data security and management.
2026-03-05T00:00:00Z

Senior Data Engineer

Plano, TX
onsite
Permanent
140000 - 170000 USD / Yearly
We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization. Technical Leadership<ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul>Team & Cross-Functional Leadership<ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul>Operational Excellence<ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul>
2026-03-23T00:00:00Z

Senior Data Engineer

Woodbury, MN
onsite
Permanent
140000 - 155000 USD / Yearly
We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions. Responsibilities: • Redesign and optimize complex business logic embedded in Postgres functions to improve functionality. • Develop scalable database schemas and create data models that are optimized for analytics and AI applications. • Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently. • Build and maintain production-grade data pipelines from data ingestion to end-user consumption. • Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines. • Troubleshoot and resolve data-related and performance issues directly in production environments. • Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
2026-03-11T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-03-31T00:00:00Z

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.
2026-04-06T00:00:00Z

Data/Information Architect

Portsmouth, NH
onsite
Permanent
140000 - 180000 USD / Yearly
We are seeking a Data Architect to lead the design and evolution of data architecture. This individual will play a critical role in shaping how data is collected, stored, integrated, and consumed across the organization, supporting analytics, and reporting. The ideal candidate brings a balance of hands‑on technical depth, architectural leadership, and strong collaboration with business and technology stakeholders Responsibilities<ul><li>Lead the design and implementation of scalable, secure, and high‑performing enterprise data architectures.</li><li>Define data architecture standards, reference architectures, and best practices across platforms.</li><li>Architect data solutions supporting analytics, BI, data science, and operational reporting.</li><li>Design and oversee data models for data warehouses, data lakes, and lakehouse architectures.</li><li>Partner with application, infrastructure, security, and analytics teams to ensure seamless data integration.</li><li>Evaluate and recommend data technologies, tools, and platforms aligned to business strategy.</li><li>Establish and enforce governance, data quality, metadata management, and lineage practices.</li><li>Provide technical leadership and mentorship to data engineers and analytics teams.</li><li>Translate business requirements into actionable data solutions for senior stakeholders.</li></ul>
2026-04-01T00:00:00Z

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.
2026-03-27T00:00:00Z

Data Integration Developer

Modesto, CA
onsite
Temporary
55 - 62 USD / Hourly
Our client in Modesto is seeking a Data Integration Engineer to support the build-out of their BHRS data platform and modern analytics environment. This is a 6‑month contract role that requires 100% onsite work. Key Responsibilities: •Build, test, and deploy data pipelines using Azure Data Factory, AzureFunctions, and/or custom scripts to ingest data from multiple source systemsinto the BHRS data platform.•Extend the existing SmartCare API integration to pull additional datasets andensure comprehensive EHR data coverage for the dashboard.•Develop new integrations with state-level systems (BHIS, CalOMS, CSI) andcounty internal systems (financial, HR/workforce, compliance tracking) usingAPIs, SFTP, flat file ingestion, or database connectors as appropriate.•Write data transformation and cleansing logic (SQL, Python, or C#) tonormalize, deduplicate, validate, and prepare source data for the analyticaldata model.•Implement error handling, logging, retry logic, and alerting for all datapipelines to ensure reliability and rapid troubleshooting.•Replace placeholder/dummy data in the existing dashboard with live data feeds,validating accuracy and completeness against source systems.•Support the Solutions Architect in implementing the data model, including tablecreation, stored procedures, views, and indexing.•Write and maintain unit tests and integration tests for data pipelines andtransformation logic.•Document all integrations, data mappings, transformation rules, and pipelineconfigurations for ongoing maintenance and knowledge transfer.
2026-04-02T00:00:00Z

Data Scientist: II (Intermediate)

Columbus, OH
onsite
Temporary
35 - 42 USD / Hourly
Data Scientist 3 month Contract to Hire Location: 4x Onsite Hybrid Columbus, OHPay: Available on W2 A leading financial services organization is seeking a data-driven Data Scientist to join its Enterprise Analytics team. In this role, you will leverage customer, product, channel, and digital data to uncover opportunities that enhance consumer experience and drive business growth. You will translate complex analytical findings into clear, actionable insights for stakeholders across Product, Marketing, Digital, and senior leadership.This position offers the chance to influence strategic decisions across the enterprise while working within a collaborative, high-performing analytics and data science group. Responsibilities<ul><li>Transform data from enterprise analytics tools into actionable insights related to customer behavior, digital sales, servicing performance, and value delivery.</li><li>Communicate findings and recommendations clearly to internal stakeholders and senior leadership.</li><li>Participate in cross-functional initiatives, providing opportunity analysis, measurement plans, dashboards, and post-release/testing analyses.</li><li>Translate complex technical concepts into intuitive visualizations, dashboards, and presentations.</li><li>Extract and analyze data using tools such as Python, R, and SAS.</li><li>Build intuitive, automated dashboards with a focus on anomaly detection and actionable visualization.</li><li>Partner with Digital, Marketing, Product, IT, Fraud, and Risk teams to evaluate initiatives and identify/mitigate risks.</li><li>Develop and refine KPIs and metrics to assess digital and omnichannel performance.</li><li>Create self-service assets that enable business partners to access and interpret data independently.</li><li>Apply automation techniques to streamline manual analytical processes.</li></ul>
2026-04-01T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-03-10T00:00:00Z

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