134 Results for Business Intelligence Developer Jobs

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Business Analyst

Franklin, TN
onsite
Permanent / Full Time
50000 - 60000 USD / Yearly
We are looking for a Business Analyst to join our team in Franklin, Tennessee and help deliver responsive support and practical solutions for software and data-related challenges. In this role, you will work closely with clients and internal teams to investigate issues, identify root causes, and ensure timely resolution. This position is well suited for someone who enjoys analytical problem-solving, clear communication, and contributing to both day-to-day support and longer-term improvement initiatives. Responsibilities: • Serve as an initial point of contact for client questions and issues involving software functionality, data accuracy, and application performance. • Document incoming incidents, evaluate business impact and urgency, and drive each case toward an effective and timely resolution. • Investigate complex problems by reviewing system behavior, analyzing data, and performing root cause analysis to determine corrective actions. • Partner with internal technical teams and external stakeholders when escalation is needed, ensuring consistent follow-through until issues are closed. • Stay informed on product updates, enhancements, and feature changes in order to provide accurate support and guidance. • Contribute to requirement collection and support the delivery of approved change requests and application updates. • Help develop business documentation, including requirement summaries, functional specifications, and impact assessments. • Support project implementation activities by applying system knowledge and understanding of business processes. • Maintain clear and current documentation related to incidents, resolutions, procedures, and support practices.
2026-10-29T00:00:00Z

Business Analyst

San Fernando, CA
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Business Analyst to join a Contract assignment based in San Fernando, California. In this approximately three-month engagement, you will partner closely with company leadership to evaluate available business data, strengthen reporting capabilities, and turn raw information into practical performance insights. This role is ideal for someone who combines financial and operational perspective with strong hands-on experience in analysis, dashboard development, and management reporting. Responsibilities: • Review data available across the company’s business systems and current reporting tools to identify gaps, inconsistencies, and opportunities for better decision support. • Design and build dependable reports and dashboards that give leadership clear visibility into sales results, margin performance, backlog status, inventory position, and operational outcomes. • Define meaningful key performance indicators that align with business goals and document calculation logic so reporting remains consistent and transparent. • Validate data accuracy by reconciling outputs, investigating reporting discrepancies, and establishing repeatable methods for ongoing measurement. • Translate financial and operational findings into actionable recommendations that support decision-making for owners and management. • Work with existing Power BI assets and related data sources to improve usability, clarity, and relevance of reporting deliverables. • Prepare reporting documentation, metric definitions, and process guidance to support long-term adoption by internal stakeholders. • Provide knowledge transfer and training to team members so they can maintain and use reports effectively after the engagement ends.
2026-10-08T00:00:00Z

Business Analyst

Minneapolis, MN
onsite
Temporary / Contract
40 - 50 USD / Hourly
We are looking for a Business Analyst Consultant to support enterprise business initiatives in Minneapolis, Minnesota, or through telecommuting arrangements. This Long-term Contract position focuses on partnering with stakeholders to define business needs, improve operational processes, and support large-scale ERP-related initiatives. The role combines business analysis, data validation, testing, and cross-functional coordination to help ensure smooth implementation and sustained adoption of new solutions. Responsibilities: • Partner with business leaders and operational teams to clarify objectives, define functional needs, and translate those needs into actionable business requirements. • Examine existing workflows to uncover gaps, risks, and inefficiencies, then recommend practical improvements to processes or system functionality. • Prepare, review, and validate large volumes of business data to support migration activities and maintain data quality throughout implementation efforts. • Coordinate with technical and non-technical stakeholders to communicate updates, align expectations, and support organizational readiness for change. • Guide initiatives from discovery and planning through rollout and stabilization, ensuring deliverables remain aligned with business priorities. • Investigate application or process issues, determine underlying causes, and propose solutions that improve performance and operational reliability. • Execute functional and user-focused testing activities, document outcomes, and confirm that enhancements meet business expectations. • Create process documentation, future-state workflow models, training materials, and end-user guidance to support adoption of updated tools and procedures. • Contribute to Agile team routines such as planning sessions, daily collaboration meetings, retrospectives, and solution demonstrations.
2026-11-02T00:00:00Z

Executive Finance & Business Intelligence Consultant

Tempe, AZ
remote
Temporary / Contract
100 - 125 USD / Hourly
Robert Half Management Resources is looking for an experienced Executive Finance & Business Intelligence Consultant to lead the development of a centralized executive reporting and insights capability for one of our clients on an interim basis. This contract position will focus on bringing together financial and operational information from multiple systems, creating a structured repository, and delivering clear analysis that supports senior leadership decision-making. The ideal candidate combines finance transformation expertise with strong business intelligence skills and can operate independently in a complex, global environment. Responsibilities:• Identify, assess, and align financial and operational data from multiple enterprise platforms to create a dependable foundation for executive reporting.• Define data sources, business rules, and reporting logic to improve consistency, traceability, and confidence in key performance information.• Create and maintain a centralized SharePoint-based repository organized by region, function, and critical financial and operational measures.• Establish practical standards for data ownership, governance, version control, and recurring refresh cycles across reporting assets.• Deliver timely responses to executive-level ad hoc requests by converting complex performance data into concise and decision-ready materials.• Analyze revenue, gross profit, operating expenses, forecasts, and other KPIs to highlight trends, risks, and opportunities for leadership.• Partner across finance, operations, and technology teams to reconcile discrepancies between systems and improve reporting accuracy.• Build repeatable frameworks and processes that support long-term finance transformation and scalable executive business intelligence operations.
2026-10-28T00:00:00Z

CRM and Business Development Intelligence Specialist

Washington, DC
onsite
Permanent / Full Time
95000 - 110000 USD / Yearly
We are looking for a CRM and Business Development Intelligence Specialist to oversee the health, usability, and strategic value of the firm's CRM ecosystem in Washington, District of Columbia. This role blends system administration, data stewardship, and business development analysis to help teams make better decisions and strengthen client engagement. The ideal candidate will turn complex relationship and matter data into practical insight, while also improving user adoption, reporting, and overall data quality across the platform. Responsibilities: • Manage daily administration of the CRM platform and supporting business development tools, ensuring reliable performance and ongoing optimization. • Review database records on a recurring basis to correct duplicates, fill information gaps, and improve consistency and accuracy. • Define and reinforce standards for data entry, governance, and quality control so information remains dependable and usable across teams. • Create and maintain segmented contact lists for marketing outreach, events, campaigns, and targeted relationship-development efforts. • Recommend and implement enhancements to workflows, integrations, configurations, reporting, and overall user experience within the CRM environment. • Transform CRM and engagement data into clear reports, dashboards, and recommendations for business development staff, attorneys, practice leaders, and firm management. • Track client and prospect interaction with communications, events, and campaigns, then suggest timely follow-up actions based on observed engagement. • Coordinate with business development, finance, attorneys, and other stakeholders to maintain accurate client, matter, industry, and experience information for strategic use. • Provide user support through training, documentation, troubleshooting, and practical guidance that increases adoption and strengthens data integrity. • Produce standard and customized reporting to support pitches, proposals, planning initiatives, and broader business development strategy.
2026-10-13T00:00:00Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Staff Database EngineerThis Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.What You'll Do<ul><li>Lead large-scale database migrations involving TB+ datasets, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing Couchbase workloads and determine whether they should remain on Couchbase or migrate to DynamoDB, DocumentDB, or another database platform based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot Couchbase XDCR or comparable replication technologies, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex multi-tenant environments with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within AWS, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support ETL/ELT pipelines feeding Snowflake or similar modern data platforms, including data validation, backfills, recovery, and troubleshooting.</li><li>Use Python and SQL for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of production database incidents, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using Datadog, CloudWatch, Azure Monitor, or similar observability tools.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul>
2026-10-20T00:00:00Z

Functional Business Analyst

Portland, ME
remote
Temporary / Contract
65 - 80 USD / Hourly
We are looking for a Functional Business Analyst to support engineering-focused business operations in Portland, Maine. This Long-term Contract position is ideal for someone who can translate operational needs into clear functional solutions, strengthen business system performance, and produce thorough documentation that supports decision-making. The role calls for someone who is detail oriented and can work across stakeholders, analyze current processes, and help shape effective system and reporting outcomes using Microsoft 365 Enterprise and Dynamics 365 Finance & Operations. Responsibilities: • Partner with business and technical stakeholders to gather, interpret, and organize functional needs into clearly documented business requirements. • Evaluate existing business systems and workflows to identify process gaps, improvement opportunities, and solution recommendations aligned with operational goals. • Create and maintain business requirement documents, process maps, and supporting functional documentation for project and system initiatives. • Support configuration and functional analysis efforts related to Microsoft 365 Enterprise and Dynamics 365 Finance & Operations environments. • Work with cross-functional teams to define reporting needs and improve the accuracy, consistency, and usefulness of financial reporting outputs. • Facilitate discussions, workshops, and review sessions to confirm requirements, resolve questions, and align project expectations. • Assist with testing preparation, validation activities, and user acceptance efforts to ensure delivered solutions meet agreed business objectives. • Provide ongoing analysis for system-related enhancements, including responsibilities tied to business process changes or internal platform transitions when required.
2026-10-22T00:00:00Z

Integration Developer/Analyst

Madison, WI
onsite
Temporary to Hire
40 - 50 USD / Hourly
We are seeking an Integration Developer/Analyst to help develop, maintain, and troubleshoot integrations between enterprise applications and third-party systems. This role is ideal for someone with a foundation in system integration, APIs, data transformation, and SQL who is eager to learn new technologies and grow their technical skills.You will collaborate with technical teams, business users, and external vendors to understand integration needs, map data, resolve issues, and ensure information flows accurately and securely between systems. Experience with Boomi is not required; training and knowledge sharing will help you learn the platform.Key Responsibilities<ul><li>Develop, maintain, and troubleshoot integrations between enterprise applications and external systems.</li><li>Learn and work with the Boomi integration platform to support data flows and integration processes.</li><li>Work with REST/SOAP APIs, JSON, XML, and vendor-provided data files.</li><li>Map, transform, and validate data to ensure accurate information exchange between systems.</li><li>Use Postman and similar tools to test APIs and troubleshoot integration issues.</li><li>Write and troubleshoot SQL queries, stored procedures, and database functions.</li><li>Use JavaScript or Python to support scripting, automation, and custom integration logic.</li><li>Collaborate with internal business users to gather requirements and understand business needs.</li><li>Coordinate with third-party vendors and technical teams to resolve integration issues.</li><li>Document integration processes, requirements, and solutions.</li><li>Follow data security practices and support secure data exchange.</li></ul>
2026-10-28T00:00:00Z

Data Integration Specialist

Spartanburg, SC
remote
Temporary / Contract
55 - 64 USD / Hourly
We are looking for a Data Integration Specialist to support enterprise data connectivity, reporting, and analytics for a complex Epicor Kinetic environment in Spartanburg, South Carolina. This Long-term Contract position focuses on building dependable data flows, strengthening reporting foundations, and enabling trusted business insights across connected systems. The role partners with cross-functional teams to improve data architecture, maintain secure integrations, and support scalable platforms used for operational and executive decision-making. Responsibilities: • Create, deploy, and support data integrations linking Epicor Kinetic with internal platforms, external applications, and third-party business tools. • Develop and maintain APIs, ETL routines, automated workflows, and data pipelines that ensure consistent and efficient information exchange. • Assist with data migration and synchronization efforts related to system deployments, version upgrades, and acquired business entities. • Track integration performance, troubleshoot failures, and resolve data flow bottlenecks or accuracy issues affecting business operations. • Design and refine data models that provide a reliable foundation for enterprise reporting, analytics, and downstream consumption. • Build and optimize extraction processes from Epicor Kinetic to improve data availability for warehouse, lake, and Fabric-based environments. • Support enterprise data platforms, including Data Warehouse, Microsoft Fabric, and Data Lake solutions, to maintain accessibility and performance. • Prepare and maintain curated datasets used in Power BI dashboards, executive reporting, and operational analysis. • Establish data quality checks, investigate root causes of information issues, and implement corrective actions to improve trust in reporting. • Contribute to master data governance practices and recommend effective integration patterns and data architecture standards.
2026-10-23T00:00:00Z

Data Engineer

Saddle Brook, NJ
onsite
Temporary to Hire
75 - 75 USD / Hourly
We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics. Responsibilities:• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners. 02710-0013476075
2026-10-22T00:00:00Z

Data Engineer

Atlanta, GA
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency. Role :<ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul>
2026-10-28T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-10-28T00:00:00Z

Data Engineer

Commerce, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
Lead Data EngineerSalary: Up to $160,000 Location:On-Site | South Los Angeles AreaEmployment Type: Full-Time Build the Foundation for Enterprise Analytics We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions. If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact. What You'll Do<ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN
2026-10-15T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization. Responsibilities: • Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks. • Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas. • Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets. • Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics. • Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards. • Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design. • Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations. • Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
2026-10-21T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are seeking an experienced Data Engineer to architect, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and business intelligence initiatives.Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading structured and semi-structured data.</li><li>Build and manage scalable data pipelines using Python and SQL across cloud and warehouse environments.</li><li>Optimize data storage, query performance, and overall efficiency within modern data warehouse platforms.</li><li>Develop and maintain data models that support downstream analytics, reporting, and operational use cases.</li><li>Collaborate with business stakeholders, analysts, and engineering teams to define data requirements and translate them into technical solutions.</li><li>Implement and support data quality checks, governance standards, and monitoring processes to ensure data reliability and integrity.</li><li>Troubleshoot pipeline failures, performance bottlenecks, and data consistency issues across the data ecosystem.</li><li>Contribute to best practices in data architecture, orchestration, documentation, and deployment.</li></ul>
2026-10-22T00:00:00Z

Data Engineer

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.Responsibilities<ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul>
2026-10-22T00:00:00Z

Data Engineer

Bridgewater, NJ
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently. Responsibilities: • Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources. • Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs. • Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks. • Work with Hadoop-based environments to manage distributed data processing and storage effectively. • Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement. • Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions. • Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
2026-10-29T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking a Data Engineer to design, develop, and maintain scalable data pipelines, integrations, and enterprise data platforms. This individual will work closely with data analysts, architects, and business stakeholders to ensure reliable data ingestion, transformation, storage, and accessibility for reporting, analytics, and business intelligence initiatives.
2026-10-23T00:00:00Z

Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment. Responsibilities: • Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems. • Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels. • Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems. • Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions. • Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems. • Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance. • Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses. • Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
2026-10-30T00:00:00Z

Data Engineer

Avon, MN
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders. Responsibilities:• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications
2026-10-20T00:00:00Z

Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

Data Engineer

Naperville, IL
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment. Responsibilities: • Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs. • Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight. • Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka. • Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems. • Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange. • Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads. • Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms. • Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
2026-10-29T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-10-21T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
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. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-30T00:00:00Z

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