64 Results for Microsoft Power Bi Jobs

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Data Scientist, Growth Analytics

San Francisco, CA
remote
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Data Scientist/Analyst to support a fintech client in a long-term remote, contract role. This position focuses on measuring growth performance, improving marketing analytics, and translating complex data into clear business recommendations for senior leaders. The ideal candidate brings strong technical depth, practical experimentation expertise, and the ability to work cross-functionally in a fast-moving environment. Responsibilities:• Lead analysis of paid acquisition performance across marketing channels, connecting spend trends to outcomes and broader business impact• Create and maintain dashboards and reporting tools that give leadership clear visibility into growth and marketing results• Assess promotional offers and acquisition strategies using experiments, causal methods, and comparative cohort analysis• Examine channel and cohort performance to uncover drivers of member growth, efficiency, and retention• Review and apply marketing mix modeling results to inform investment planning and budget allocation decisions• Partner with data engineering teams to strengthen attribution methods and improve the reliability of marketing measurement• Build automated analytical workflows using Snowflake, dbt, and related tools to streamline recurring insights• Work closely with marketing, growth, finance, and data partners to shape measurement frameworks and business decisions• Present findings and recommendations to executive stakeholders in a concise and actionable way• Provide guidance to other analytics contributors and help raise standards for high-impact data science work
2026-10-30T00:00:00Z

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

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets. Responsibilities: • Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting. • Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability. • Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains. • Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption. • Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations. • Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions. • Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets. • Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
2026-11-10T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Senior Data Engineer to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in Microsoft Azure, Microsoft Fabric, and modern data engineering practices.You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.Responsibilities<ul><li>Design, develop, and maintain enterprise data solutions using Microsoft Fabric and Azure Data Services.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul>
2026-11-05T00:00:00Z

Data Engineer

Campbell, CA
remote
Temporary to Hire
60 - 82 USD / Hourly
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting. Responsibilities: • Create and refine scalable data structures that support reporting, analytics, and long-term platform growth. • Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use. • Connect data from multiple enterprise applications and align it into a consistent, usable format. • Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency. • Enhance existing ingestion and transformation workflows to support expanding business and analytics needs. • Strengthen platform stability through better monitoring, testing practices, and operational improvements. • Tune and optimize data processing performance while contributing to ongoing platform enhancements. • Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability. • Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making. • Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
2026-11-09T00:00:00Z

Data Engineer

Memphis, TN
onsite
Temporary / Contract
70 - 85 USD / Hourly
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
2026-11-09T00:00:00Z

Data Engineer

Memphis, TN
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-11-10T00:00:00Z

Data Engineer

Mckinney, TX
onsite
Temporary to Hire
63.3365 - 73.337 USD / Hourly
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making. Responsibilities: • Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs. • Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers. • Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value. • Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management. • Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps. • Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment. • Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets. • Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows. • Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
2026-11-09T00:00:00Z

Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners. Responsibilities: • Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability. • Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments. • Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases. • Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks. • Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs. • Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance. • Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities. • Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility. • Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
2026-11-09T00:00:00Z

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

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
2026-11-04T00:00:00Z

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

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

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-11-03T00:00:00Z

Data Engineer

Memphis, TN
onsite
Temporary / Contract
70 - 85 USD / Hourly
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
2026-11-10T00:00:00Z

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

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

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

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

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

Cincinnati, OH
remote
Temporary / Contract
80 - 100 USD / Hourly
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions. Responsibilities: • Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms. • Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets. • Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives. • Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight. • Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions. • Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing. • Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting. • Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
2026-11-09T00:00:00Z

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

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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