<p>We are looking for an experienced Senior ServiceNow Platform Engineer to strengthen and evolve enterprise ServiceNow capabilities. This Long-term Contract position will focus on platform administration, workflow automation, integrations, and ongoing performance improvement in a complex environment. The person in this role will work closely with technical teams and business stakeholders to deliver secure, scalable solutions that support operational goals. Success in this position requires strong hands-on expertise, sound architectural judgment, and the ability to guide best practices across the platform.</p><p><br></p><p>Responsibilities:</p><p>• Lead day-to-day administration of the ServiceNow platform, ensuring reliable operation across development, testing, and production environments.</p><p>• Build and refine platform features such as workflows, business rules, client-side logic, dashboards, and reporting tools to improve service delivery and efficiency.</p><p>• Oversee user access, role assignments, and security controls to maintain compliance with internal governance standards.</p><p>• Plan and execute platform upgrades, patching activities, and release coordination while evaluating impact on connected systems.</p><p>• Design, develop, and support integrations between ServiceNow and enterprise applications using APIs, IntegrationHub, import processes, and automation tools.</p><p>• Configure and maintain Flow Designer assets, subflows, integration actions, and supporting components for streamlined orchestration.</p><p>• Support data quality initiatives by improving configuration data accuracy, reducing duplication, and strengthening relationship mapping across the platform.</p><p>• Partner with architects, engineers, security teams, and business stakeholders to translate requirements into scalable technical solutions.</p><p>• Troubleshoot platform and integration issues, perform root cause analysis, and recommend durable corrective actions.</p><p>• Create and maintain technical documentation covering configurations, standards, operating procedures, and integration support models.</p>
<p>We are looking for an experienced Application Developer to support enterprise business intelligence and reporting initiatives in Southern California. This Long-term Contract position will focus on building governed reporting solutions, developing modern dashboards, and translating complex data into clear insights for business stakeholders. The role also contributes to dashboard modernization efforts, advanced database development, and high-quality analytics delivery across warehouse and lake house environments.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain enterprise reports, dashboards, and analytical products that support strategic and operational decision-making.</p><p>• Create and manage semantic models, including business metrics, hierarchies, prompts, and security rules, to ensure consistent reporting standards.</p><p>• Write and optimize advanced SQL for warehouse and lakehouse platforms, using joins, CTEs, stored procedures, and other complex query techniques.</p><p>• Partner with data engineering teams to design curated datasets, aggregation structures, and performance-focused data assets for reporting use cases.</p><p>• Investigate and resolve data quality issues by profiling source data, validating results, and reconciling discrepancies across reporting layers.</p><p>• Apply dimensional modeling and modern data warehousing principles to align reporting solutions with governed enterprise architecture.</p><p>• Lead the transformation of legacy BI outputs into modern web-based dashboards while preserving calculation accuracy, filtering logic, and drill functionality.</p><p>• Use approved AI-assisted development tools to accelerate report creation, documentation, validation, and dashboard modernization with strong human oversight.</p><p>• Support security validation, regression testing, and production readiness activities before releasing reporting solutions to end users.</p>
We are looking for an Application Developer to create and support enterprise software solutions in Torrington, Connecticut. This role focuses on building dependable applications, connecting systems and data sources, and enabling reporting and analytics capabilities that support business decisions. The ideal candidate brings strong C# and .NET development experience, a practical approach to problem-solving, and the ability to turn functional needs into well-designed technical outcomes.<br><br>Responsibilities:<br>• Develop, enhance, and support enterprise applications with a primary focus on C# and .NET technologies.<br>• Convert operational and business needs into secure, scalable, and maintainable software designs.<br>• Create and manage integrations between applications, databases, and analytics platforms to ensure reliable data flow.<br>• Contribute to reporting and analytics capabilities by partnering with BI and data teams on data-driven solutions.<br>• Apply appropriate AI-enabled tools or techniques to improve development efficiency and generate deeper insights where beneficial.<br>• Investigate application, performance, and interface issues, identify root causes, and implement durable resolutions.<br>• Participate throughout the software lifecycle, including discovery, solution design, coding, testing, deployment, and production support.<br>• Produce clear technical documentation covering system architecture, workflows, and implementation details.
We are looking for a Front End Developer to join a growing team building a sophisticated SaaS platform that helps enterprise organizations prepare their systems for successful AI adoption. This Long-term Contract position offers the chance to contribute to a highly technical product designed for companies developing AI solutions with their own internal data. The role is well suited to someone who enjoys complex application interfaces and wants to work close to cutting-edge enterprise AI initiatives.<br><br>Responsibilities:<br>• Build and enhance user-facing features for a complex web application using React and TypeScript.<br>• Create responsive interfaces that support advanced workflows within an enterprise-focused SaaS platform.<br>• Develop interactive visual components, including data-driven displays and refined CSS-based motion effects.<br>• Partner with engineers and stakeholders to translate technical product goals into intuitive front-end solutions.<br>• Improve front-end architecture, code quality, and component reusability across the application.<br>• Contribute to UI implementation for features tied to enterprise AI readiness and internal data-driven workflows.<br>• Support integration efforts between front-end functionality and backend services where needed.<br>• Collaborate with the broader development team in an evolving startup environment as the product scales.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability.<br><br>Responsibilities:<br>• Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms.<br>• Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution.<br>• Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency.<br>• Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization.<br>• Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput.<br>• Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support.<br>• Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency.<br>• Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure.<br>• Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy.<br>• Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
<p><b>ONSITE</b></p><p>Seeking a Data Engineer to build and optimize scalable data pipelines and platforms supporting enterprise analytics, reporting, and AI initiatives.</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Build ETL/ELT pipelines (batch & streaming)</li><li>Design scalable data architectures (Lakehouse, warehouse)</li><li>Ensure data quality, governance, and security</li><li>Optimize performance, cost, and reliability</li><li>Partner with analytics, BI, and engineering teams</li></ul>
<p>We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.</p><p>• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.</p><p>• Develop and maintain data models to support analytics, reporting, and operational processes.</p><p>• Optimize data warehouse performance by tuning queries and managing resources effectively.</p><p>• Ensure data quality through rigorous testing and governance protocols.</p><p>• Implement security and compliance measures to protect sensitive data.</p><p>• Research and integrate emerging technologies to enhance system capabilities.</p><p>• Support ETL processes for data extraction, transformation, and loading.</p><p>• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.</p><p>• Provide technical guidance and support to team members and stakeholders.</p>
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making.<br><br>Responsibilities:<br>• Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use.<br>• Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability.<br>• Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets.<br>• Develop data models and schema designs that support reporting, analytics, and downstream business needs.<br>• Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization.<br>• Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals.<br>• Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions.<br>• Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
<p>We are looking for a Data Engineer to join a team on a Long-term Contract assignment. This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity.</p><p><br></p><p>Responsibilities:</p><p>• Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability.</p><p>• Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets.</p><p>• Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context.</p><p>• Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization.</p><p>• Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes.</p><p>• Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues.</p><p>• Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools.</p><p>• Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions.</p><p>• Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases.</p>
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting.<br><br>Responsibilities:<br>• Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting.<br>• Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems.<br>• Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users.<br>• Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting.<br>• Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions.<br>• Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python.<br>• Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time.<br>• Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
<p><b>Data Engineer</b></p><p>Onsite | Austin, TX | Contract</p><p><br></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and manage data architectures such as data warehouses, data lakes, and lakehouses</li><li>Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize data processing, storage, and query performance</li><li>Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs</li><li>Implement automation for data workflows, monitoring, and error handling</li><li>Troubleshoot and resolve data pipeline issues and performance bottlenecks</li><li>Support batch and real‑time data processing frameworks</li><li>Document data models, pipelines, and data engineering processes</li></ul>
We are looking for a Data Engineer to support education-focused data initiatives through a Contract engagement based in Carmichael, California. This role will design and enhance reliable data pipelines that turn complex source information into trusted, well-structured datasets for reporting, analysis, and future advanced use cases. The ideal candidate brings strong engineering judgment, clear communication skills, and hands-on experience building scalable solutions in cloud-based environments.<br><br>Responsibilities:<br>• Build and maintain multi-stage data pipelines that organize raw, refined, and curated data for downstream business and analytics use.<br>• Develop incremental processing workflows that efficiently capture updates and propagate changes across datasets with accuracy and consistency.<br>• Create approaches for matching and unifying records across separate platform instances where identifiers may overlap or conflict.<br>• Establish data lineage, traceability, and audit controls so datasets can be validated and reviewed with confidence.<br>• Implement and manage workflow orchestration for scheduled and event-driven pipeline execution using cloud-native or equivalent automation tools.<br>• Write production-quality pipeline code in Python and TypeScript to support ingestion, transformation, and delivery of data assets.<br>• Leverage AWS services such as Lambda and S3 to build resilient, scalable components for data processing workloads.<br>• Partner with technical and non-technical stakeholders to explain design decisions, clarify tradeoffs, and align solutions with operational needs.<br>• Prepare data models and pipeline outputs that can support future AI and machine learning applications, including training and inference workflows.
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
<p>We are seeking a <strong>Data Engineer</strong> with strong experience in <strong>Microsoft Azure</strong> and <strong>Databricks</strong> to help design, build, and maintain modern cloud-based data solutions. This individual will play a key role in developing scalable data pipelines, optimizing data architectures, and enabling business intelligence and analytics initiatives across the organization.</p><p>This is an excellent opportunity for someone passionate about cloud technologies, big data, and transforming raw data into actionable insights.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines in Azure and Databricks</li><li>Build and optimize ETL/ELT processes for structured and unstructured data</li><li>Develop and support data lake, data warehouse, and analytics solutions</li><li>Integrate data from multiple internal and external sources</li><li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements</li><li>Ensure data quality, integrity, security, and governance standards are met</li><li>Monitor and troubleshoot data workflows and performance issues</li><li>Create and maintain technical documentation and data models</li><li>Support reporting and analytics initiatives by delivering reliable datasets</li></ul><p><br></p>
<p>We are looking for a fully remote Data Engineer to support and enhance a modern data environment serving critical business reporting and analytics needs. This role will focus on maintaining reliable warehouse operations while expanding scalable data pipelines and improving how information is integrated across systems. This position is well suited for someone who enjoys hands-on engineering work, thoughtful data design, and close collaboration with technical stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the daily performance, stability, and upkeep of the data warehouse to ensure dependable access to trusted data.</p><p>• Design, build, and refine data pipelines that move and transform information efficiently across multiple platforms.</p><p>• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads.</p><p>• Create and maintain SQL-based data structures and workflows that improve data quality, usability, and consistency.</p><p>• Apply sound data modeling practices to organize datasets for reporting, analysis, and downstream application use.</p><p>• Partner with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.</p><p>• Support cloud-based data movement and orchestration processes, including work involving Azure Data Factory where needed.</p><p>• Contribute to reporting and visualization readiness by preparing well-structured datasets for tools such as Power BI, Tableau, or Looker.</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued.<br><br>Responsibilities:<br>• Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem.<br>• Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools.<br>• Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting.<br>• Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure.<br>• Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma.<br>• Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery.<br>• Assess emerging technologies and recommend practical additions to the data stack as business needs evolve.<br>• Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
We are looking for an experienced Data Engineer to join a long-term contract engagement in Colorado. This position centers on designing and improving cloud-based data solutions that support enterprise analytics and AI-driven initiatives. The role is ideal for a hands-on, detail-oriented individual who excels in preparing reliable, scalable data assets and partnering with technical teams in a modern Microsoft-focused environment.<br><br>Responsibilities:<br>• Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases.<br>• Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams.<br>• Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks.<br>• Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture.<br>• Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms.<br>• Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment.<br>• Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use.<br>• Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
<p>We are looking for an Android Developer to support mobile application initiatives for a highly collaborative team. This Long-term Contract opportunity is well suited for someone who can work with a flexible schedule while staying closely aligned with teammates through consistent progress updates and regular availability during standard business hours when urgent issues arise. You will contribute to Android-focused development efforts in a small team setting and help maintain steady communication as work moves forward.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and maintain Android mobile applications using Android Studio and Java.</p><p>• Partner with a small development group to deliver mobile features, resolve technical issues, and support ongoing application improvements.</p><p>• Provide frequent status updates on assigned work, including communicating early when timelines are moving ahead of plan or at risk of delay.</p><p>• Remain available for daily check-ins and as-needed collaboration to address blockers, production concerns, or development questions.</p><p>• Work effectively within a flexible schedule while ensuring overlap with normal business hours for troubleshooting and team coordination.</p><p>• Support cross-platform awareness by collaborating with team members involved in related mobile technologies, including iOS and Xamarin-based efforts.</p><p>• Contribute to code quality, testing, and issue resolution across the Android development lifecycle.</p>
We are looking for an Android Developer to help create and enhance a mobile experience that supports digital commerce and media consumption in Salt Lake City, Utah. In this role, you will build customer-facing features for shopping, eBooks, audiobooks, and podcasts while contributing to a reliable and scalable application architecture. You will work closely with stakeholders and cross-functional teams to translate business goals into effective Android solutions. This position is ideal for someone who enjoys modern Android development and takes pride in delivering high-quality mobile products.<br><br>Responsibilities:<br>• Build and enhance Android application features using Kotlin and Jetpack Compose to support a seamless mobile experience.<br>• Develop functionality for digital content experiences, including eBook reading, audiobook playback, and podcast access.<br>• Create and maintain integrations with internal platforms and external services through REST-based APIs.<br>• Contribute across the full software development lifecycle, including technical planning, implementation, testing, release preparation, and post-deployment support.<br>• Improve application speed, stability, and scalability to handle periods of elevated customer activity and major promotional events.<br>• Collaborate with business stakeholders and cross-functional teams to define practical solutions for mobile commerce and digital experience needs.<br>• Partner with web and e-commerce teams to align feature behavior and maintain a consistent user journey across platforms.<br>• Participate in Agile team activities such as sprint planning, daily check-ins, reviews, and retrospectives.<br>• Track application quality metrics and resolve issues related to crashes, ANRs, reliability, and security.<br>• Maintain technical documentation for custom features, integrations, and deployment workflows.