We are looking for an experienced Business Analyst to support Oracle-focused initiatives within a utilities and infrastructure environment in Hampton, New Hampshire. This Long-term Contract position will work closely with business and technical teams to define needs, improve workflows, and help deliver effective solutions across finance, operations, and IT. The ideal candidate brings strong analytical skills, hands-on Oracle experience, and the ability to turn complex business objectives into clear, actionable documentation.<br><br>Responsibilities:<br>• Partner with business leaders and technical teams to identify, clarify, and document functional and operational needs for Oracle-based applications.<br>• Convert business objectives into detailed requirements, user stories, process flows, and supporting documentation for delivery teams.<br>• Evaluate current workflows to uncover efficiency opportunities and recommend practical system or process enhancements.<br>• Support Oracle-related implementations, platform updates, integrations, and other enterprise application initiatives.<br>• Lead requirement workshops, stakeholder discussions, and validation sessions to confirm scope, priorities, and expected outcomes.<br>• Work closely with developers, database specialists, and quality teams to ensure delivered solutions meet business expectations.<br>• Assist with planning, coordination, and issue resolution for Oracle environment changes, including upgrade or migration-related activities.<br>• Create and maintain process maps, workflow documentation, and reporting artifacts to support decision-making and knowledge sharing.
We are looking for an experienced Business Analyst to support a portfolio of ServiceNow initiatives for an education-focused organization in Cambridge, Massachusetts. This is a Long-term Contract position expected to run for at least 6 months, with a strong likelihood of extending to 12 months and potential for longer-term opportunity. The role centers on translating business needs into scalable ServiceNow solutions, strengthening reporting capabilities, and helping teams deliver enhancements that improve workflows across multiple departments. You will partner with technical and business stakeholders to drive requirements, testing, dashboard development, and release support in a fast-moving environment.<br><br>Responsibilities:<br>• Lead discovery sessions with stakeholders to define business needs and convert them into clear functional requirements for ServiceNow initiatives.<br>• Support delivery of multiple concurrent projects involving areas such as incident management, change management, hardware processes, and software asset management.<br>• Develop reporting strategies and build dashboards that provide meaningful operational insights for business and IT teams.<br>• Collaborate with ServiceNow developers and platform team members to plan enhancements, validate solutions, and align configurations with user needs.<br>• Coordinate and support user acceptance testing by preparing test scenarios, documenting outcomes, and helping resolve issues before release.<br>• Monitor platform updates and assist with recurring release activities, ensuring new functionality is tested and introduced smoothly.<br>• Help optimize ServiceNow usage across departments including finance, research, and human resources through workflow improvements and process automation.<br>• Contribute to initiatives such as portal enhancements, reporting improvements, and deployment of new incident management capabilities.<br>• Participate in stakeholder meetings and ongoing communication to track progress, manage expectations, and maintain project momentum.
<p>Financial Analyst</p><p>The Woodlands, TX (Fully In-Office)</p><p>Our client, a growing regional organization with operations across multiple states, is seeking a Financial Analyst for an immediate opportunity. This is a newly created position driven by company growth and offers significant visibility throughout the organization.</p><p>The Financial Analyst will partner closely with Accounting, Finance, Operational, Supply Chain, and Logistics leadership to analyze business performance, develop meaningful reporting, and identify opportunities for operational improvement. This role is ideal for a data-driven professional who enjoys working with large datasets, building impactful dashboards, and supporting strategic decision-making.</p><p>Key Responsibilities</p><ul><li>Analyze operational and financial data to identify trends, opportunities, and key performance indicators (KPIs).</li><li>Develop, maintain, and enhance complex reporting and dashboards utilizing Power BI.</li><li>Partner with Accounting, Finance, Operations, Supply Chain, and Logistics teams to provide actionable insights that drive business performance.</li><li>Monitor and analyze capital expenditures (CapEx) and operational expenditures (OpEx).</li><li>Support the purchase, movement, tracking, and analysis of physical goods across multiple locations.</li><li>Perform supply chain and logistics analysis to identify inefficiencies, optimize processes, and improve operational performance.</li><li>Analyze inventory movement, utilization trends, transportation metrics, and distribution-related data to support business objectives.</li><li>Assist leadership with forecasting, budgeting, performance analysis, and operational reporting.</li><li>Create and automate reporting processes to improve efficiency and decision-making.</li><li>Present findings and recommendations to various levels of management.</li></ul><p><br></p>
<p>We are looking for a Sr. Technical Data Product Owner (Sr. Business Data Analyst) to support high-visibility data initiatives for a Global Retail organization. This Long-term Contract position will partner closely with business leaders and data engineering teams to translate business needs into well-defined data solutions, with a strong emphasis on delivery, validation, and stakeholder alignment. The role is ideal for someone who can navigate complex data environments, coordinate cross-functional efforts, and keep projects moving efficiently from discovery through implementation.</p><p><br></p><p>Responsibilities:</p><p>• Partner with stakeholders to capture business objectives, clarify data needs, and turn those inputs into thorough functional documentation.</p><p>• Lead data-focused project activities by coordinating requirements, source-to-target mapping, and planning for migration and integration efforts.</p><p>• Serve as the key connection point between business teams and Data/BI engineering resources to keep scope, priorities, and expectations aligned.</p><p>• Oversee delivery progress across multiple data workstreams, ensuring milestones are met and outcomes reflect agreed business goals.</p><p>• Review data results and perform analysis to confirm accuracy, completeness, and consistency with stakeholder expectations.</p><p>• Create process mockups or early solution concepts that help teams evaluate requirements and refine the proposed approach.</p><p>• Support testing, validation, and quality checks for data products to improve confidence in delivered solutions.</p><p>• Guide business users through handoffs, knowledge transfer, and adoption activities so new data capabilities are understood and used effectively.</p><p>• Build strong working relationships across teams and establish effective communication paths that support timely decisions and issue resolution.</p>
We are looking for a Business Analyst to turn operational, financial, and marketing information into practical insights that support smarter decisions and stronger business results in Salt Lake City, Utah. This role will partner with leadership to track performance, surface trends, and recommend improvements that strengthen efficiency, visibility, and profitability. The ideal candidate brings a data-driven mindset, clear communication skills, and the ability to translate complex findings into meaningful business actions.<br><br>Responsibilities:<br>• Analyze data from business, financial, and marketing sources to identify patterns, risks, and opportunities that influence performance.<br>• Create and maintain dashboards, scorecards, and recurring reports that give leaders a clear view of key performance indicators.<br>• Review revenue, cost, margin, and profitability results to highlight trends and support better financial decision-making.<br>• Examine workflows and operating practices to uncover inefficiencies and propose process improvements that increase productivity.<br>• Assess campaign and customer performance by tracking acquisition costs, conversion activity, and return on marketing investment.<br>• Investigate performance variances, determine underlying causes, and present actionable recommendations to address gaps.<br>• Work closely with managers and stakeholders to define benchmarks, align on goals, and support planning priorities.<br>• Deliver findings to leadership through concise summaries, visual reporting, and business-focused recommendations.<br>• Contribute to forecasting, budgeting, and strategic planning efforts with accurate analysis and dependable reporting.<br>• Maintain data quality across reporting systems by monitoring consistency, accuracy, and integrity of business information.
<p>We are looking for an experienced Business Analyst to support data-driven decision-making across customer, product, and market initiatives in Broomfield, Colorado. This role focuses on translating complex business questions into actionable insights that improve pricing, strengthen customer programs, and guide strategic planning. The ideal candidate brings strong analytical judgment, a deep understanding of business performance metrics, and the ability to communicate findings clearly to cross-functional stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Develop clear business requirement documents that align stakeholder needs with measurable project outcomes.</p><p>• Examine customer utilization patterns and behavioral trends to uncover opportunities for growth, retention, and service improvement.</p><p>• Analyze regional, demographic, and organizational market data to identify meaningful patterns that inform business strategy.</p><p>• Evaluate product pricing performance and recommend adjustments that support profitability and competitive positioning.</p><p>• Track loyalty program results and prepare reporting that highlights performance, engagement, and areas for enhancement.</p><p>• Conduct ad hoc customer and product analyses to support operational planning and strategic initiatives.</p><p>• Assess competitor activity across multiple markets to provide insight into industry positioning and emerging risks.</p><p>• Review carrier fee activity by comparing vendor charges with customer billing data to identify variances and improve accuracy.</p><p>• Support acquisition-related analysis by delivering research, performance assessments, and business insight for decision-making.</p><p>• Apply emerging AI knowledge to enhance analysis approaches, reporting capabilities, and business recommendations where appropriate.</p><p><br></p><p>Benefits include unlimited PTO, competitive health/vision/dental coverage, 401k with competitive company match, and flexible work options. </p>
We are looking for an experienced Business Analyst to join a Long-term Contract opportunity in Jacksonville, Florida. In this role, you will work within an Agile Scrum setting, partnering with stakeholders and delivery teams to shape clear requirements and keep work moving efficiently through each sprint. This position is ideal for someone who can turn business needs into actionable documentation, support team alignment, and help ensure solutions meet expected outcomes.<br><br>Responsibilities:<br>• Partner with business stakeholders and technical teams to uncover needs, evaluate priorities, and document functional expectations.<br>• Convert business objectives into well-structured user stories that give development teams clear direction for execution.<br>• Establish detailed acceptance criteria that support quality development, validation, and successful testing outcomes.<br>• Maintain and refine the Jira backlog by updating items, supporting prioritization, and preparing work for upcoming sprints.<br>• Facilitate backlog review discussions and contribute to sprint planning to improve readiness and delivery flow.<br>• Analyze current business processes, identify operational gaps, and recommend opportunities for improvement.<br>• Work closely with Scrum team members throughout the sprint cycle to answer questions and resolve requirement-related issues.<br>• Assist with solution validation and testing activities to confirm delivered functionality aligns with business expectations.<br>• Monitor progress against sprint objectives and project timelines, helping teams stay focused on committed deliverables.
We are looking for a Business Analyst to support complex initiatives within the financial services sector in New York, New York. This Long-term Contract position focuses on defining business needs, shaping clear functional documentation, and partnering with technical and business teams to deliver effective solutions. The role requires someone who can connect stakeholder expectations with system capabilities while helping projects stay organized, well-documented, and aligned with delivery goals.<br><br>Responsibilities:<br>• Gather and define business and system needs by working closely with stakeholders to clarify objectives, constraints, and expected outcomes.<br>• Produce well-structured requirement documents, functional specifications, and supporting analysis artifacts that guide project execution.<br>• Convert operational needs and technical concerns into practical, clearly documented solutions for project teams and business partners.<br>• Maintain oversight of requirement changes, facilitate review sessions, and ensure approvals are captured throughout the project lifecycle.<br>• Develop and update process models, domain analysis materials, wireframes, business rules, and related documentation to support solution design.<br>• Contribute to multiple project efforts by tracking scope, updating key documents, monitoring priorities, and supporting timely completion of milestones.<br>• Partner with designers, architects, and testing teams to confirm that proposed solutions and test coverage remain consistent with approved requirements.<br>• Coordinate and execute user acceptance testing activities, including validation of results and follow-up on identified issues.<br>• Support detailed systems design work by defining configuration needs, functional behavior, and data migration rules where required.<br>• Build effective working relationships with internal stakeholders, customers, and external partners while escalating risks or blockers through appropriate channels.
Skillset/Qualifications:<br>3+ years of Business Analyst experience<br>Experience with requirements gathering and backlog management<br>Familiarity with Jira or similar tools<br>Strong communication and stakeholder management skills<br>Experience working in Agile or hybrid delivery environments<br><br>Preferred:<br><br>Background in financial services<br>Experience with AML (Anti-Money Laundering) or financial crime initiatives<br>Exposure to transaction monitoring systems<br>Experience with financial crime or compliance-related platforms (nice to have)
<p>We are looking for a detail-oriented Business Analyst to join our team in Dallas, Texas. In this role, you will bridge the gap between business needs and technical solutions by gathering requirements, analyzing data, and supporting system workflows. Your expertise in documentation and communication will be instrumental in ensuring project success across multiple teams.</p><p><br></p><p>Responsibilities:</p><p>• Gather, document, and organize business requirements to support project goals.</p><p>• Develop user stories, acceptance criteria, and use cases to guide system development.</p><p>• Create and maintain workflow diagrams, data flow diagrams, and business rules documentation.</p><p>• Perform data validation and reconciliations using tools such as Excel.</p><p>• Verify business rules against system data and assist in creating data dictionaries.</p><p>• Acquire knowledge of system workflows and document end-to-end processes.</p><p>• Collaborate with stakeholders across Clinical, Pharma, Operations, and IT teams to facilitate requirements meetings.</p><p>• Draft detailed meeting notes, track open questions, and coordinate follow-ups.</p><p>• Assist in creating and executing test plans, logging defects, and validating fixes.</p><p>• Support go-live activities by ensuring system readiness and defect resolution.</p><p><br></p><p>If interested, please send your resume to [email protected]</p>
We are looking for a commercially minded Data Analyst to support procurement decision-making within a major real estate environment in Chicago, Illinois. This Long-term Contract position focuses on turning complex procurement and supplier data into practical insights that improve sourcing strategy, performance visibility, and cost control. The role works standard Eastern Hours and partners closely with procurement, finance, and business stakeholders to strengthen reporting, automation, and data quality across the function.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards that provide clear visibility into spend patterns, supplier results, contract activity, and key procurement measures.<br>• Examine procurement data across areas such as property services, facilities, construction, fit-out, and specialized services to uncover trends and improvement opportunities.<br>• Perform detailed spend and benchmarking analysis to highlight savings potential, strengthen category strategies, and support more informed purchasing decisions.<br>• Track compliance-related metrics, identify off-contract purchasing behavior, and prepare reporting that supports governance across procurement activities.<br>• Build and maintain scalable data workflows using Microsoft technologies, including Fabric, Data Factory, Dataflows Gen2, Databricks, and related cloud-based tools.<br>• Develop unified procurement datasets by combining information from enterprise platforms, contract systems, and supplier sources into reliable analytical models.<br>• Use SQL, Python, and PySpark to clean, structure, and transform large volumes of data for reporting and advanced analysis.<br>• Design automation solutions with Power Automate to reduce manual effort, improve accuracy, and increase team productivity.<br>• Work with procurement leaders, finance partners, and other stakeholders to translate business questions into meaningful analysis and present findings in a clear, business-focused way.<br>• Maintain documentation for data definitions, reporting logic, and governance standards while promoting data quality and self-service reporting adoption within the team.
We are looking for a Legal Financial Systems Analyst to join a collaborative analytics team supporting financial operations in Denver, Colorado. This position blends systems expertise with financial analysis, serving as a key partner to finance stakeholders on application support, workflow improvement, and data-driven decision-making. The role is ideal for someone who understands the mechanics of billing and accounting in a services environment and enjoys solving technical and process-related challenges.<br><br>Responsibilities:<br>• Serve as the primary connection between finance users and technology solutions, translating operational needs into effective system support and enhancements.<br>• Diagnose application issues, coordinate resolutions, and help maintain reliable performance across financial platforms used for billing, accounting, and reporting.<br>• Contribute to system updates, testing activities, and ongoing optimization efforts to improve stability, usability, and efficiency.<br>• Analyze financial and operational data to identify trends, support reporting needs, and recommend process improvements.<br>• Support day-to-day billing and accounting workflows by ensuring financial systems align with business requirements and user expectations.<br>• Partner with internal analytics team members and leadership to strengthen reporting capabilities and overall financial productivity.<br>• Assist with administration and usage of core tools such as Aderant and reporting platforms, while supporting related applications tied to timekeeping, workflow, or expense management when needed.
<p>We are seeking an experienced Business Reporting Analyst to support enterprise contact center operations through the development of reporting, analytics, and business intelligence solutions. This senior-level role is responsible for identifying data requirements, ensuring data integrity, and delivering actionable insights that drive operational performance and strategic decision-making.</p><p><br></p><p>The ideal candidate possesses strong analytical and technical skills, experience with contact center technologies, and the ability to translate complex business requirements into meaningful reports, dashboards, and performance metrics.</p><p><br></p><p>**Position is fully onsite in Newark, CA 94560**</p><p>**Position is potential contract to hire based on performance - 6-month contract to start out**</p><p><br></p><p>Key Responsibilities</p><ul><li>Partner with operational leaders, workforce management teams, project managers, and business stakeholders to understand reporting needs and define key performance metrics.</li><li>Translate business and reporting requirements into technical specifications, report designs, and dashboard solutions.</li><li>Design, develop, maintain, and optimize operational reports, scorecards, dashboards, and data visualizations.</li><li>Extract, integrate, and analyze data from multiple enterprise systems and data sources.</li><li>Develop and maintain databases, reporting repositories, and business intelligence solutions that support organizational objectives.</li><li>Ensure the quality, accuracy, and integrity of data used for reporting and analytics.</li><li>Identify trends, patterns, and opportunities for operational improvement through data analysis.</li><li>Develop new performance metrics and reporting methodologies to measure business outcomes.</li><li>Support ad hoc reporting requests from leadership and departmental stakeholders.</li><li>Conduct report testing, validation, and troubleshooting to ensure reliability and accuracy.</li><li>Document reporting processes, data definitions, and reporting standards.</li><li>Serve as a subject matter expert and mentor to junior analysts when needed.</li></ul><p><br></p>
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>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>
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 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 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 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>
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.
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<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.
<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>