<p>Data Analyst – Data Visualization and AI Tools</p><p><strong>Location:</strong> Stamford/Norwalk area</p><p><strong>Work Arrangement:</strong> Onsite</p><p><strong>Job Summary</strong></p><p>We 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.</p><p><strong>Key Responsibilities</strong></p><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><p><br></p>
We are looking for an experienced Data Analyst to join a mission-driven non-profit organization in Battle Creek, Michigan. This onsite position is ideal for someone who is detail oriented and can quickly step into a lean team environment and turn complex information into clear, decision-ready reporting. The role centers on analyzing data, developing impactful dashboards, and supporting fraud-focused insights through strong business intelligence practices.<br><br>Responsibilities:<br>• Analyze organizational data to identify trends, patterns, and actionable insights that support reporting needs and operational decisions.<br>• Build and maintain Power BI dashboards and reports that present information in a clear, accurate, and useful format for stakeholders.<br>• Produce recurring and ad hoc reports to meet business needs, with a focus on timely and reliable delivery.<br>• Support fraud-related analysis by reviewing data for irregularities, risk indicators, and areas requiring further investigation.<br>• Work with data sources and warehousing structures to improve reporting quality, consistency, and accessibility.<br>• Collaborate closely with a small onsite team, contributing independently while helping strengthen overall analytics capacity.<br>• Translate raw data into business intelligence outputs that help leadership monitor performance and make informed choices.
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts.<br><br>Responsibilities:<br>• Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity.<br>• Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner.<br>• Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information.<br>• Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution.<br>• Review invoice discrepancies and related exceptions to determine root causes and recommend next steps.<br>• Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring.<br>• Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
<p>We are looking for a Data Analyst to support reporting, dashboard development, and business-focused data investigations for a financial services team. <strong>This long-term, remote contract position</strong> is based in San Francisco, California, and offers the opportunity to work remotely while partnering closely with stakeholders to deliver clear, timely insights. The ideal candidate brings strong analytical expertise, hands-on experience with modern BI tools, and the ability to manage priorities effectively in a fast-paced, sprint-driven environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine recurring reports and analytical outputs that help business partners make informed decisions.</p><p>• Develop, update, and enhance dashboard solutions in Looker to meet evolving stakeholder needs.</p><p>• Investigate data questions and resolve reporting issues related to business operations and client-focused requests.</p><p>• Manage assigned work within a sprint-based workflow, handling incoming tickets and adjusting priorities as needed.</p><p>• Collaborate with cross-functional stakeholders to gather requirements, confirm scope, and communicate delivery timelines.</p><p>• Provide ongoing analytics support through BI and reporting platforms, translating data into actionable insights.</p><p>• Maintain a balanced workload between stakeholder coordination and hands-on analysis, ensuring both communication and execution remain strong.</p>
We are looking for a detail-oriented Data Analyst to support commission-related reporting and financial data review within the insurance industry in Elmwood Park, New Jersey. This Long-term Contract position is ideal for someone who enjoys working with complex datasets, identifying inconsistencies, and helping maintain accurate commission operations. The role combines analytical problem-solving, reporting, and cross-functional coordination to ensure commission activity is processed correctly and on time.<br><br>Responsibilities:<br>• Examine insurance commission data and validate calculations to support accurate statement processing.<br>• Investigate mismatches, payment issues, and reporting variances by researching broker and carrier records.<br>• Review new policy activity and account updates to confirm commission handling aligns with business rules.<br>• Reconcile internal commission information against carrier submissions and address exceptions promptly.<br>• Produce recurring monthly reports that highlight operational results and commission activity.<br>• Manage detailed carrier statement uploads and process high-volume or complex commission transactions.<br>• Support audit requests by gathering documentation and verifying the accuracy of commission records.<br>• Perform month-end reporting checks and system-level data reviews to improve accuracy and completeness.<br>• Build and maintain Excel-based analysis tools, using advanced formulas and macros to organize and interpret data.<br>• Monitor commission deposits, payment activity, and special reporting requests as needed.
We are looking for a Data Analyst to join a healthcare organization in Austin, Texas on a contract-to-permanent basis. In this role, you will turn operational data into clear insights that help improve reporting, planning, and day-to-day business decisions. This opportunity is well suited for someone who combines strong analytical thinking with precise data handling and can communicate findings in a practical, easy-to-understand way.<br><br>Responsibilities:<br>• Gather information from various data sources, organize it efficiently, and prepare it for detailed analysis.<br>• Examine large datasets to uncover patterns, performance trends, and areas where the business can improve outcomes.<br>• Build, update, and maintain reports, spreadsheets, dashboards, and visual summaries for stakeholders and leadership.<br>• Translate analytical results into practical recommendations that support operational planning and informed decision-making.<br>• Review data for completeness and accuracy, resolve inconsistencies, and help strengthen reporting reliability.<br>• Partner with business teams to clarify reporting needs, define useful metrics, and deliver timely analytical support.<br>• Contribute to forecasting, planning, and performance review activities by providing accurate data analysis and recurring reports.<br>• Support continuous improvement efforts by identifying process issues and using data to recommend effective solutions.
We are looking for an experienced IT Data Analyst to join a Contract engagement supporting enterprise reporting and analytics efforts in Cedar Rapids, Iowa. In this role, you will work closely with business and technical partners to turn reporting needs into reliable, data-driven solutions that improve insight and decision-making. The ideal candidate brings strong analytical ability, hands-on data validation experience, and the communication skills needed to guide requirements from discovery through testing and delivery.<br><br>Responsibilities:<br>• Collaborate with business partners to capture reporting objectives, clarify analytical needs, and confirm that requirements are complete and actionable.<br>• Convert business goals into structured data specifications that support report development, analytics design, and downstream technical work.<br>• Examine datasets from multiple sources to identify data quality concerns, inconsistencies, and opportunities to strengthen reporting accuracy.<br>• Create and carry out validation and testing activities to confirm that reporting outputs are dependable, accurate, and aligned with business expectations.<br>• Perform data mapping, trace data movement across systems, and define relationships among source elements to support analysis and reporting solutions.<br>• Assist with user acceptance testing by documenting issues, coordinating follow-up, and helping drive timely resolution of defects or data discrepancies.<br>• Support enterprise analytics initiatives by contributing insights that improve reporting processes, data usability, and overall decision support.<br>• Work with cross-functional teams to troubleshoot reporting and data-related challenges in both relational and cloud-based environments.
<p>This Long-term Contract position focuses on interpreting business data, preparing meaningful reports, and sharing actionable insights with internal teams. The role offers the opportunity to work across recurring analysis needs as well as special projects in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large sets of operational and business data using Excel and other reporting tools to identify trends, exceptions, and opportunities.</p><p>• Gather information from multiple sources, organize findings, and present clear updates to stakeholders and team members.</p><p>• Create and maintain reports, spreadsheets, and dashboards that support ongoing business monitoring and decision-making.</p><p>• Partner with internal teams to respond to ad hoc analysis requests and deliver timely, accurate results.</p><p>• Assist with special projects by compiling data, validating information, and summarizing outcomes in an easy-to-understand format.</p><p>• Support data activities related to enterprise systems, including SAP-based reporting or training-related tasks when needed.</p><p>• Help improve reporting consistency by checking data quality and ensuring information is current and reliable.</p>
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
<p>A growing organization is seeking an <strong>eCommerce</strong> <strong>Data Specialist </strong>to play a key role in modernizing its online eCommerce product ecosystem. This position will focus on transforming large, complex product datasets, designing scalable catalog structures, and improving the processes used to manage product information across digital sales channels.</p><p><br></p><p>This is an excellent opportunity for someone who enjoys solving data challenges, streamlining workflows, and building a foundation for future ecommerce growth.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Redesign and optimize product catalog structures for a modern commerce platform.</li><li>Analyze, cleanse, and standardize large volumes of product data.</li><li>Create efficient processes for data imports, updates, validation, and ongoing maintenance.</li><li>Work with technical teams to align product information, business rules, and system integrations.</li><li>Improve digital asset organization, including product imagery and supporting content.</li><li>Evaluate and automate manual processes where possible.</li><li>Ensure data accuracy, consistency, and usability across ecommerce systems.</li></ul><p><strong>What We're Looking For</strong></p><ul><li>Experience working with large-scale product catalogs or digital commerce data.</li><li>Strong understanding of product taxonomy, catalog organization, and data governance.</li><li>Experience with data conversion, migration projects, or systems modernization initiatives.</li><li>Familiarity with APIs, structured data formats, and data integration processes.</li><li>Ability to troubleshoot data quality issues and develop scalable solutions.</li><li>Excellent analytical and problem-solving skills.</li></ul><p><strong>Preferred Experience</strong></p><ul><li>Product information management (PIM) systems.</li><li>ERP integrations and data synchronization.</li><li>Workflow automation or scripting experience.</li><li>High-volume product environments or highly configurable product offerings.</li><li>Digital asset management and ecommerce operations.</li></ul><p>Why Consider This Opportunity?</p><ul><li>Highly visible role with significant impact on business operations.</li><li>Opportunity to shape long-term data strategy and best practices.</li><li>Blend of technical problem-solving, process improvement, and business collaboration.</li><li>Stable organization investing in its digital commerce capabilities.</li></ul><p>Candidates with experience improving product data quality, streamlining catalog operations, or supporting digital transformation initiatives are encouraged to apply.</p>
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.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
We are looking for a detail-oriented Data Analyst to support a long-term contract assignment within the health pharm/biotech industry in Omaha, Nebraska. In this role, you will help maintain accurate contract and customer service data by reviewing records, validating key details, and ensuring information aligns with source documentation. This position is ideal for someone who brings strong analytical ability, a disciplined approach to data quality, and experience working with business systems in a structured environment.<br><br>Responsibilities:<br>• Examine customer service contract records to confirm completeness, accuracy, and alignment with business documentation.<br>• Validate critical contract elements such as service coverage, active dates, billing details, equipment information, and total contract value.<br>• Compare data stored in business platforms with supporting files to detect mismatches, omissions, or inconsistencies.<br>• Enter, revise, and maintain contract-related information in Microsoft Dynamics 365 ERP and Microsoft Dynamics CRM based on project guidelines.<br>• Record exceptions clearly and route complex issues to leadership for further review and resolution.<br>• Apply established quality standards and workflows to preserve consistency and data integrity across all assigned work.<br>• Support audit-ready documentation by maintaining organized records of findings, corrections, and outstanding items.
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
<p><strong>Overview</strong></p><p>We are seeking a Data Analyst for an 18-24 month contract to support a large-scale data migration and integration initiative following a recent acquisition. This individual will work closely with a Lead Data Analyst who is responsible for the overall migration strategy and data architecture. The Data Analyst will execute assigned work packages, perform data validation and reconciliation activities, and help ensure data quality throughout the migration process.</p><p>This role is ideal for someone with strong SQL and analytical skills who enjoys working with data, identifying discrepancies, and supporting business-critical data conversion efforts.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Run data extracts from source systems and databases</li><li>Write and execute moderate SQL queries for data analysis and validation</li><li>Map fields between legacy and target systems</li><li>Perform data migration reconciliation and validation activities</li><li>Investigate rejected, missing, or inaccurate records and document findings</li><li>Create basic reports and dashboards using Power BI or Tableau</li><li>Maintain issue logs, conversion files, and migration documentation</li><li>Support testing efforts before and after data migrations</li><li>Escalate complex data or system issues to the Lead Data Analyst or Manager</li><li>Collaborate with project stakeholders to ensure accurate and complete data conversion</li></ul><p><strong>*PLEASE NOTE: </strong>This position is onsite Monday-Friday in Alpharetta, GA and no exceptions will be made. Do not apply to this posting if you're not already local to Metro ATL and willing to work onsite</p>
We are looking for a Data Analyst to join a FinTech organization in New York, New York on a Long-term Contract basis. This position will focus on transforming business data into clear reporting, actionable insights, and performance tracking that support renewal and subscription activities. The role works closely with stakeholders across teams to strengthen reporting accuracy, improve operational visibility, and help guide data-driven decisions.<br><br>Responsibilities:<br>• Develop and distribute recurring reports related to renewals, subscriptions, and business performance for internal stakeholders.<br>• Examine operational and business data to identify trends, highlight risks, and provide insights that support informed decision-making.<br>• Contribute to renewal-focused initiatives and cross-functional projects by supplying analysis, reporting, and metric tracking.<br>• Ensure information remains accurate and consistent across reports, dashboards, trackers, and other business tools.<br>• Build, maintain, and refine Excel-based models, dashboards, and analytical files used for ongoing monitoring and planning.<br>• Handle ad hoc data and reporting requests from managers and business partners in a timely and organized manner.<br>• Partner with teams across the business to support operational goals and improve visibility into key performance measures.<br>• Recommend and support enhancements to reporting processes, data quality controls, and overall analytical efficiency.<br>• Monitor renewal metrics and related indicators to help assess performance and identify areas for improvement.
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
<p>We are looking for a Data Analyst to join a contract assignment. This role will focus on strengthening reporting reliability, developing scalable analytics solutions, and improving the way business data is modeled and delivered. The ideal candidate brings deep expertise in Power BI, semantic modeling, and data flow design within modern data warehousing environments, including Microsoft Fabric. This is a Contract position with an initial duration of 2-3 months and the potential for longer-term opportunity.</p><p><br></p><p>Responsibilities:</p><p>• Build, refine, and maintain Power BI reporting solutions that support accurate and consistent business insights.</p><p>• Design and manage semantic models that improve report performance, usability, and governance.</p><p>• Develop and optimize data flows that connect warehouse data to reporting layers in a dependable and scalable manner.</p><p>• Investigate and resolve failures affecting existing reports, including issues tied to account ownership, refresh behavior, and synchronization.</p><p>• Partner with stakeholders to understand reporting needs and translate business questions into effective dashboards and analytics outputs.</p><p>• Apply Microsoft Fabric capabilities where appropriate to strengthen data integration and reporting architecture.</p><p>• Review existing analytics assets and recommend improvements that increase stability, maintainability, and overall data quality.</p>
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
<p>Robert Half is partnering with a growing organization seeking a Senior Data & Analytics Engineer to support enterprise reporting, analytics, and data transformation initiatives.</p><p>This individual will partner closely with technical and business stakeholders to develop scalable data solutions, improve data accessibility, and support strategic decision-making across multiple business functions.</p><p><br></p><p><strong><u>Responsibilities</u></strong></p><ul><li>Design and develop scalable data solutions supporting reporting and analytics initiatives</li><li>Build and maintain data transformation workflows</li><li>Develop logical and physical data models</li><li>Support enterprise reporting and self-service analytics capabilities</li><li>Collaborate with cross-functional teams to define and deliver data requirements</li><li>Improve data quality, governance, and consistency across platforms</li><li>Participate in development best practices, testing, and code management processes</li><li>Support ongoing data modernization efforts</li></ul>
<p>We are looking for a Database Developer to support data-driven initiatives in Delphi, Indiana. Hybrid schedule with some required on-site presence. This Long-term Contract position is ideal for someone who enjoys building reliable database solutions, improving data workflows, and writing efficient SQL code. The role focuses on developing and maintaining ETL processes, stored procedures, and database objects that help teams access accurate and timely information.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain SQL Server database solutions that support reporting and operational needs.</p><p>• Develop, test, and optimize ETL workflows to move and transform data efficiently across systems.</p><p>• Create and enhance stored procedures, queries, and other database objects using T-SQL.</p><p>• Troubleshoot data issues, identify performance bottlenecks, and implement improvements to increase reliability.</p><p>• Collaborate with technical and business teams to understand data requirements and deliver practical database solutions.</p><p>• Monitor database processes and validate data quality to ensure consistency and accuracy.</p><p>• Document database logic, ETL processes, and development changes to support ongoing maintenance.</p>
We are looking for a highly experienced Database Developer to support a healthcare research organization on a short-term Contract assignment based in Boston, Massachusetts. This role is focused on hands-on PostgreSQL development and is best suited for an experienced specialist who brings deep database expertise rather than generalist application experience. The engagement will contribute to an active project and requires someone who can deliver quickly in a fully remote environment.<br><br>Responsibilities:<br>• Design, build, and refine PostgreSQL database solutions that support project goals within a healthcare-focused research setting.<br>• Create and optimize database queries, stored objects, and related structures to improve reliability, efficiency, and overall performance.<br>• Evaluate existing database environments and recommend practical enhancements for scalability, monitoring, and day-to-day operations.<br>• Support database administration activities, including performance tuning, mirroring considerations, and operational stability across cloud or hosted platforms.<br>• Partner with project stakeholders to translate technical needs into effective database designs and development deliverables.<br>• Contribute to database migration or environment change efforts when needed as part of the active project scope.<br>• Use tools such as pgAdmin and related PostgreSQL utilities to troubleshoot issues, manage objects, and maintain database health.
<p>We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight.</p><p><br></p><p>Responsibilities:</p><p>• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.</p><p>• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.</p><p>• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.</p><p>• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.</p><p>• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.</p><p>• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.</p><p>• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.</p><p>• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.</p>
<p>We are looking for a skilled Database Developer to support enterprise data initiatives. This position will concentrate on building and enhancing data warehouse, integration, and reporting solutions that strengthen analytics, operational visibility, and business decisions. The role works closely with technical teams and business partners in an Agile setting to deliver dependable, scalable, and well-governed data systems.</p><p><br></p><p>Responsibilities:</p><p>• Create, enhance, and maintain enterprise database and data warehouse solutions using Microsoft SQL technologies, Azure services, and modern data integration platforms.</p><p>• Develop robust ETL workflows that extract, transform, validate, and load data from multiple sources while improving consistency and usability across reporting environments.</p><p>• Turn business and technical needs into practical database designs, reporting structures, and analytics-ready datasets that support organizational decision-making.</p><p>• Establish automated controls for data validation, auditing, and quality monitoring to help preserve accuracy and trust in enterprise information.</p><p>• Improve database efficiency through query tuning, indexing strategies, and execution plan review to support performance at scale.</p><p>• Support scheduled jobs, production monitoring, error resolution, backup processes, and recovery planning to maintain reliable system operations.</p><p>• Build reports, dashboards, and ad hoc data outputs using Power BI and related business intelligence tools for a variety of stakeholders.</p><p>• Develop and maintain integrations through APIs, web services, and middleware solutions to connect databases with internal and external systems.</p><p>• Participate in testing, deployments, upgrades, and technical reviews while promoting secure, standards-aligned development practices.</p><p>• Provide guidance to less experienced developers through collaboration, knowledge sharing, and code review activities.</p>