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337 results for Junior Data Analyst jobs

Senior Marketing Financial Analyst

Raleigh, North Carolina
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Senior Marketing Financial Analyst serves as a strategic finance partner to the Marketing organization, responsible for measuring and improving the return on marketing investment across channels. This role combines strong financial and business acumen with hands-on statistical modeling skills, including regression analysis and Media Mix Modeling (MMM), to evaluate the impact of marketing spend on business outcomes, guide budget allocation, and support forecasting and planning.The ideal candidate combines financial rigor with a strong understanding of marketing strategy, data analysis, and customer acquisition. Key Responsibilities<ul><li>Partner with Marketing leadership to develop, manage, and analyze marketing budgets, spend pacing, and ROI across paid, owned, and earned channels.</li><li>Maintain and interpret Media Mix Models (MMM), including data inputs, assumptions, outputs, and vendor-developed models.</li><li>Build and apply statistical and econometric models, including multivariate regression, attribution, elasticity modeling, and other analytical approaches.</li><li>Translate complex analytical findings into actionable recommendations regarding channel mix, budget allocation, and marketing spend optimization.</li><li>Monitor and report on key marketing KPIs, including CAC, CPL, CPA, ROAS, ROI, LTV:CAC, conversion rates, and marketing-sourced revenue.</li><li>Develop and maintain customer acquisition and marketing efficiency models to evaluate spend against business outcomes.</li><li>Develop financial forecasts, monthly and quarterly variance analyses, and business cases for new marketing investments and campaigns.</li><li>Collaborate with Marketing, Finance, Analytics, and Data Science teams to align on data sources, modeling assumptions, and measurement methodologies.</li><li>Build and automate dashboards and reporting tools using platforms such as Excel, SQL, Tableau, and Power BI.</li><li>Conduct ad-hoc statistical analyses, including scenario planning, sensitivity analysis, test-and-learn evaluations, and incrementality testing.</li><li>Present findings and recommendations to senior leadership, translating complex analysis into clear business insights.</li><li>Support annual and long-range planning processes, including marketing spend forecasting and ROI-based prioritization of investments.</li></ul>
2026-09-23T00:00:00Z

Senior Change Management Analyst

Los Angeles, California
onsite
Permanent / Full Time
85422 - 113185 USD / Yearly
Job TitleSenior Change Management Analyst Company OverviewJoin a leading organization in the arts, nonprofit, and cultural sector that is dedicated to preserving knowledge, fostering innovation, and enhancing digital experiences for employees and customers alike. Based in Los Angeles, California, the organization is investing in transformative technology initiatives that improve collaboration, operational efficiency, and user engagement across the enterprise. This is an opportunity to contribute to meaningful change within a mission-driven environment. Role SummaryWe are seeking an experienced Senior Change Management Analyst to support large-scale digital transformation and business modernization initiatives. This role will serve as a key member of a growing change management function, partnering with project teams, business leaders, and stakeholders to drive successful adoption of new processes, technologies, and ways of working. Based in Los Angeles, CA, the position offers the opportunity to influence enterprise-wide change and enhance organizational readiness across strategic initiatives. Key Responsibilities<ul><li>Develop and execute change management strategies that support successful adoption of business and technology initiatives.</li><li>Conduct stakeholder assessments, impact analyses, and organizational readiness evaluations.</li><li>Create and deliver communication, engagement, and training plans that support project objectives.</li><li>Identify change-related risks and develop mitigation strategies to increase adoption and minimize resistance.</li><li>Partner with project managers and business leaders to integrate change management activities into project plans.</li><li>Facilitate stakeholder engagement efforts and build alignment across multiple groups.</li><li>Track adoption metrics, monitor change progress, and provide actionable recommendations.</li><li>Support and coach project teams, sponsors, and business leaders throughout the change lifecycle.</li><li>Develop communication materials, reports, presentations, and training resources.</li><li>Mentor junior team members and contribute to continuous improvement of change management practices.</li></ul>Compensation & Benefits<ul><li>Salary range: $85,000 – $113,000.</li><li>Comprehensive medical, dental, and vision coverage.</li><li>Retirement savings programs with employer contributions.</li><li>Professional development and educational assistance opportunities.</li><li>Generous paid time off and paid holidays.</li><li>Wellness and employee engagement programs.</li></ul>Additional Details<ul><li>Work Model: Hybrid 3x onsite.</li><li>Full-time, limited-term position lasting approximately three years.</li><li>High-visibility role supporting multiple strategic transformation initiatives.</li><li>Opportunity to work across business, operations, and technology functions.</li><li>Collaborative, mission-driven environment focused on innovation and continuous improvement.</li></ul>
2026-09-09T00:00:00Z

Digital Marketing Analyst

Houston, Texas
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client, a B2B organization in Houston, is looking for a Digital Marketing Analyst to turn marketing data into clear, actionable insight. This person will measure campaign performance across channels, build reporting that leadership relies on, and help the team spend smarter. It's a great fit for someone who is as comfortable telling the story behind the numbers as building the dashboard. Responsibilities<ul><li>Build and maintain dashboards and recurring reports in [Tableau / Power BI / Looker Studio]</li><li>Analyze performance across paid, organic, email, social, and web channels to identify trends and opportunities</li><li>Manage GA4 configuration, event tracking, and tag management through Google Tag Manager</li><li>Develop and refine attribution models to measure channel contribution to revenue</li><li>Calculate and report on KPIs including CAC, ROAS, conversion rates, and customer lifetime value</li><li>Partner with marketing, sales, and finance to define goals and measurement frameworks</li><li>Design and analyze A/B and multivariate tests</li><li>Present findings and recommendations tostakeholders in clear, non-technical terms</li></ul>
2026-09-24T00:00:00Z

Data Engineer

Boston, Massachusetts
remote
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a skilled Data Engineer to join a 100% remote contract to hire position. This role focuses on developing and maintaining data warehouse integration processes, working closely with technical teams and business stakeholders to deliver reliable, high-quality data solutions. The ideal candidate brings deep experience in data transformation, warehouse architecture, and production support, along with a proactive approach to investigating and resolving complex data issues. Responsibilities:• Build, enhance, and maintain data loading and transformation workflows that feed enterprise data warehouse environments and related systems.• Create scalable warehouse integration solutions while producing clear technical documentation and following established engineering standards.• Contribute to data modeling efforts and collaborate with cross-functional teams on reporting structures and warehouse design decisions.• Partner with business stakeholders to understand operational needs and translate them into effective technical approaches and implementation plans.• Review solution quality through testing, validation, and design assessments to ensure dependable performance and efficient processing.• Monitor production data warehouse operations, investigate pipeline failures or data discrepancies, and resolve issues with urgency to reduce business disruption.• Work closely with development, quality assurance, and support teams to help deliver solutions on schedule across the full development lifecycle.• Raise risks, communicate technical concerns, and provide input on specifications to improve solution accuracy and delivery outcomes.
2026-09-16T00:00:00Z

Data Engineer

Remote, Ohio
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance. Responsibilities:• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.
2026-09-24T00:00:00Z

Data Engineer

Dallas, Texas
onsite
Permanent / Full Time
135000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-09-09T00:00:00Z

Data Engineer

Madison, Wisconsin
remote
Permanent / Full Time
100000 - 140000 USD / Yearly
We're partnering with a team that is expanding its cloud data capabilities and looking for a Data Engineer to help build the foundation that powers analytics, reporting, and data-driven decision making. This role offers the opportunity to work with large, complex datasets while helping improve how data is collected, organized, and delivered across the business. You'll have a direct impact on the performance, reliability, and scalability of modern data platforms operating in cloud environments. What You'll Focus On<ul><li>Building data solutions that make information more accessible, reliable, and usable for analytics and reporting teams.</li><li>Improving how data moves throughout the organization by creating efficient, automated processes that reduce manual effort and increase consistency.</li><li>Supporting large-scale cloud data environments by enhancing performance, troubleshooting issues, and helping maintain platform stability.</li><li>Partnering with technical and non-technical stakeholders to understand business needs and translate them into practical data solutions.</li><li>Developing and refining data models that support operational reporting, business intelligence initiatives, and future growth.</li><li>Working with a variety of data sources and formats to ensure information can be used effectively across multiple teams and applications.</li><li>Helping establish data quality standards through validation, monitoring, and ongoing process improvements.</li></ul>
2026-09-19T00:00:00Z

Data Engineer

St. Paul, Minnesota
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization. Responsibilities:• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.
2026-09-21T00:00:00Z

Data Engineer

Salt Lake City, Utah
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology. Responsibilities: • Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use. • Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting. • Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability. • Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture. • Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets. • Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
2026-09-16T00:00:00Z

Data Engineer

St. Paul, Minnesota
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.
2026-09-23T00:00:00Z

Data Engineer

Los Angeles, California
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
2026-09-09T00:00:00Z

Data Engineer

Princeton, New Jersey
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.
2026-09-23T00:00:00Z

Data Engineer

Jacksonville, Florida
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.
2026-09-09T00:00:00Z

Data Engineer

Nashville, Tennessee
onsite
Temporary / Contract
55 - 68 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-09-22T00:00:00Z

Data Engineer

Atlanta, Georgia
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms. Responsibilities: • Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use. • Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale. • Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources. • Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery. • Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations. • Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes. • Apply sound data management practices to ensure consistency, usability, and governance across data assets. • Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices. • Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
2026-09-16T00:00:00Z

Data Engineer

Jacksonville, Florida
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.
2026-09-09T00:00:00Z

Data Engineer

Appleton, Wisconsin
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.
2026-09-15T00:00:00Z

Data Engineer

Seattle, Washington
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-09-23T00:00:00Z

Data Engineer

Portland, Maine
remote
Permanent / Full Time
88000 - 133000 USD / Yearly
We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery. Responsibilities:• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.• Manage code and workflow changes through version control practices to support traceability and controlled deployment.• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.
2026-09-09T00:00:00Z

Data Engineer

Chicago, Illinois
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office. Responsibilities: • Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs. • Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently. • Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms. • Write production-quality Python code to automate data processing, validation, and orchestration tasks. • Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions. • Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability. • Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives. • Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.
2026-09-23T00:00:00Z

Data Engineer

Saint Louis, Missouri
remote
Temporary / Contract
50 - 70 USD / Hourly
We are looking for a Data Engineer to support a remote Contract engagement. This role focuses on strengthening device management and compliance operations while helping ensure policies are effectively defined, validated, and enforced across the environment. The ideal candidate brings a strong technical background in data and systems engineering, along with hands-on experience working with modern platforms and compliance-focused workflows. Responsibilities:• Assess existing device management policies to determine effectiveness, identify gaps, and document areas requiring remediation.• Convert validated policy frameworks into Intune configurations and help align enforcement rules with operational needs.• Contribute to the migration of approximately 300 devices from Jamf into Intune while maintaining stability and user readiness.• Support FIDO2 compliance initiatives and help implement device compliance standards across managed endpoints.• Monitor policy behavior after deployment, troubleshoot issues, and refine configurations to improve consistency and control.• Partner with technical stakeholders to translate business and security requirements into practical management policies.• Use scripting and data engineering tools to analyze operational data, automate repeatable tasks, and improve reporting visibility.
2026-09-24T00:00:00Z

Data Engineer

Dallas, Texas
onsite
Temporary / Contract
45 - 50 USD / Hourly
OverviewWe are seeking an experienced Data Engineer to join a growing data team supporting enterprise analytics, reporting, and data science initiatives. This role will focus on supporting and enhancing existing data pipelines while contributing to new development efforts within a modern data environment. The ideal candidate will have strong experience with Databricks, SQL, and Python, along with the ability to partner directly with business stakeholders and translate business requirements into scalable technical solutions. POSITION: DATA ENGINEERLOCATION: DALLAS, TX ONSITEDURATION: 6-MONTH CONTRACT-TO-HIRE RESPONSIBILITIES<ul><li>Develop, support, and enhance ETL and data pipeline solutions.</li><li>Design and build data transformations across Bronze, Silver, and Gold data layers within a Medallion Architecture environment.</li><li>Write, optimize, and troubleshoot complex SQL queries to support reporting, analytics, and operational business needs.</li><li>Develop and maintain data processing solutions using Python and PySpark within Databricks.</li><li>Partner directly with business stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Monitor, troubleshoot, and resolve data pipeline issues while performing root cause analysis.</li><li>Design and maintain data warehouse and database models that support reporting, analytics, and data science initiatives.</li><li>Deliver trusted and certified datasets that power dashboards, self-service analytics, and business reporting.</li><li>Apply best practices related to data quality, testing, monitoring, performance optimization, documentation, and maintainability.</li><li>Collaborate with data engineers, analysts, data scientists, and business teams on strategic initiatives and ongoing support efforts.</li></ul>
2026-09-10T00:00:00Z

Data Engineer

Farmers Branch, Texas
onsite
Permanent / Full Time
145000 - 170000 USD / Yearly
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products. Responsibilities: • Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools. • Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets. • Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data. • Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns. • Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments. • Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support. • Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments. • Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions. • Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. • Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
2026-09-02T00:00:00Z

Data Engineer

Dallas, Texas
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-09-23T00:00:00Z

Data Engineer

Oklahoma City, Oklahoma
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best prac
2026-09-23T00:00:00Z

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