549 results for Data Reporting Analyst jobs

Financial Data Specialist

Trenton, NJ
remote
Temporary
17 - 18 USD / Hourly
Our client is seeking a Financial Data Specialist. The Financial Data Specialist will be responsible for capturing, analyzing, and validating information. This individual will work closely with both internal teams and external market participants, providing high-quality data support and resolving complex inquiries. The ideal candidate is detail-oriented, proactive, and thrives in a fast-paced, data-driven environment. Key Responsibilities: • Build and maintain strong relationships with internal stakeholders and external market participants, including exchanges, financial institutions, and legal entities • Serve as a subject-matter expert (SME) • Collaborate cross-functionally to identify dependencies impacting data quality and ensure accurate data delivery across platforms • Respond to client inquiries in a timely and professional manner, delivering high-quality support • Escalate and communicate data issues or client feedback to appropriate teams to drive improvements • Identify opportunities to enhance processes, workflows, and data accuracy
2026-03-24T00:00:00Z

Technical Business Analyst(Data)

White Plains, NY
onsite
Permanent
100000 - 120000 USD / Yearly
We are looking for a skilled Technical Business Analyst with expertise in data analysis to join our team in White Plains, New York. In this role, you will bridge the gap between business needs and technical solutions, ensuring data processes align with organizational goals. If you have a strong analytical background and experience working with data platforms and visualization tools, we encourage you to apply. Responsibilities: • Analyze and interpret complex datasets to identify trends and deliver actionable insights. • Collaborate with stakeholders to gather and translate business requirements into technical solutions. • Design and implement data pipelines using tools such as Python or Java to automate workflows. • Optimize database performance and manage data warehousing using platforms like Microsoft SQL Server. • Utilize cloud services, such as AWS or Azure, to support scalable data solutions. • Develop and maintain ETL processes for efficient data extraction, transformation, and loading. • Create dynamic dashboards and visualizations using tools like Tableau or Power BI. • Ensure data integrity and accuracy through rigorous testing and validation. • Provide technical support and training to non-technical team members. • Document processes and workflows to ensure clarity and continuity.
2026-03-30T00:00:00Z

Digital Marketing Analyst

Southfield, MI
onsite
Temporary
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-03-16T00:00:00Z

Digital Marketing Analyst

Alexandria, VA
onsite
Temporary
48 - 55 USD / Hourly
Robert Half is seeking a data-driven and strategic Digital Marketing Analyst to support one of our clients in Washington, DC. This contract opportunity is ideal for a marketing professional who enjoys turning data into meaningful insights that drive smarter marketing decisions.In this role, you will partner with cross-functional marketing teams to analyze digital campaign performance, identify optimization opportunities, and deliver insights that strengthen overall marketing strategy. The ideal candidate is both analytical and creative—someone who understands the numbers behind marketing while also appreciating the strategy and storytelling that make campaigns successful.This position offers an exciting opportunity to work in a fast-paced marketing environment where your insights will directly influence campaign performance, audience engagement, and digital growth. Key Responsibilities• Analyze and evaluate performance across multiple digital marketing channels including paid media, search, social media, email marketing, and website traffic.• Track, monitor, and report on campaign KPIs such as conversions, engagement, impressions, traffic, and lead generation.• Develop dashboards and performance reports that provide actionable insights for marketing and leadership teams.• Identify trends, patterns, and opportunities to optimize digital marketing strategies and improve ROI.• Collaborate closely with marketing managers, content teams, and digital strategists to support campaign planning and optimization.• Conduct A/B testing and performance experiments to improve marketing outcomes.• Use analytics tools to monitor user behavior and identify opportunities to enhance the customer journey.• Support SEO and paid advertising initiatives by analyzing keyword performance, search traffic, and campaign effectiveness.• Translate complex data into clear, easy-to-understand recommendations for stakeholders.• Assist with forecasting performance and providing data-driven recommendations for future campaigns.
2026-03-09T00:00:00Z

Digital Marketing Analyst

Conshohocken, PA
remote
Contract / Temporary to Hire
33.25 - 38.5 USD / Hourly
We are looking for a skilled Digital Marketing Analyst to join our team in Conshohocken, Pennsylvania. This Contract to permanent position is ideal for someone with a strong technical background in digital analytics and a passion for optimizing data tracking and reporting processes. You will play a pivotal role in ensuring accurate and efficient analytics implementation across a variety of websites, collaborating closely with cross-functional teams to meet business objectives. Responsibilities: • Oversee the implementation and management of website tagging using Google Tag Manager, ensuring accurate tracking of pageviews, events, and conversions. • Develop and maintain custom tags, variables, and JavaScript configurations to support advanced tracking requirements. • Configure and manage Google Analytics 4 properties, including custom definitions, channel groupings, and audience segmentation. • Implement tracking solutions for embedded video players, form submissions, and other interactive website elements. • Perform regular quality assurance audits to validate tagging accuracy and resolve any discrepancies. • Create and maintain comprehensive documentation of website interactions, tag setups, and audit logs for consistency and future reference. • Ensure compliance with data privacy regulations by configuring cookie consent platforms such as OneTrust or Google Consent Mode. • Collaborate with development, marketing, and account teams to align tracking strategies with business goals. • Support cross-domain tracking and server-side tagging setups for enhanced data collection. • Assist in integrating tags with advertising platforms like Google Ads to optimize campaign performance.
2026-03-09T00:00:00Z

Digital Marketing Analyst

Grand Rapids, MI
onsite
Temporary
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-03-16T00:00:00Z

Business Analyst with Power BI

Spring, TX
onsite
Permanent
100000 - 125000 USD / Yearly
We are looking for a skilled Business Analyst with expertise in Power BI to join our team in Spring, Texas. The ideal candidate will have a strong background in analyzing business processes, collaborating with cross-functional teams, and delivering actionable insights to drive operational success. This role involves leveraging analytical tools and methodologies to identify and address business needs effectively. Responsibilities: • Conduct thorough business analysis to identify and address operational challenges and opportunities. • Collaborate with call center teams to enhance customer service processes and identify areas for improvement. • Review and evaluate documents to ensure accuracy and alignment with project goals. • Utilize Agile Scrum methodologies to manage project workflows and deliver results efficiently. • Perform gap analysis to identify discrepancies between current and desired business processes. • Develop and present Power BI dashboards and reports to communicate key findings and recommendations. • Work closely with stakeholders to gather requirements and ensure alignment with business objectives. • Support the implementation of solutions by coordinating with technical and non-technical teams. • Monitor project progress and provide regular updates to relevant stakeholders. • Analyze data to provide actionable insights that support decision-making and strategic planning.
2026-03-17T00:00:00Z

Director of Data Analytics

West Valley City, UT
onsite
Permanent
120000 - 140000 USD / Yearly
Position Summary:Drive and shape the organization’s overarching data and analytics strategy to deliver actionable insights that directly support critical business decision-making.Key Responsibilities:<ul><li>Develop and execute the company’s data and analytics roadmap to ensure reporting and analysis capabilities empower organizational objectives.</li><li>Remain abreast of industry trends, emerging technologies, and relevant external reports; synthesize and communicate key findings to the leadership team and stakeholders.</li><li>Lead all aspects of internal and external reporting, ensuring data outputs are accurate, comprehensive, auditable, and have clearly defined ownership.</li><li>Oversee creation and delivery of executive reports, frameworks, dashboards, and recurring presentations that provide actionable intelligence to senior leadership.</li><li>Align data priorities with senior leaders, offering consistent and proactive communication of project status, risks, dependencies, and critical trade-offs.</li><li>Establish rigorous procedures for intake, prioritization, and delivery of analytics projects—managing scope, timelines, and escalation as needed.</li><li>Foster a results-driven culture of accountability by actively monitoring and driving progress on key analytics initiatives.</li><li>Create and maintain robust governance and controls to ensure high-quality, efficient, and reliable reporting processes.</li><li>Standardize metrics and frameworks to ensure consistency and reliability across all reporting channels and business units.</li><li>Build, mentor, and lead analytics and reporting teams, including recruiting, coaching, and setting high performance and stakeholder engagement standards.</li><li>Partner cross-functionally to address data challenges, enable self-service analytics, and further automate and enhance reporting effectiveness.</li><li>Ensure stakeholder satisfaction and delivery of measurable business outcomes from data and analytics initiatives.</li></ul>Minimum Qualifications:<ul><li>Over 10 years of experience with advanced data analysis, relational databases, and enterprise analytics tools.</li><li>Advanced proficiency in database management, data extraction, analytics, and visualization technologies.</li><li>Demonstrated expertise in SQL, SSRS, SSIS, ETL processes, Excel, Python, and PowerPoint.</li><li>Experience with diverse data transformation, reporting, and analytics tools or programming languages.</li><li>Exceptional written and verbal communication skills; proven ability to present complex analytical insights to senior executives and cross-functional teams.</li><li>Strong organizational and project management skills; proven success managing multiple, concurrent projects.</li><li>Demonstrated leadership in team management, coaching, and talent development within analytics or reporting environments.</li><li>Experience overseeing high-stakes internal and external reporting commitments.</li></ul>Preferred Qualifications:<ul><li>Experience with additional data visualization and analytics platforms.</li><li>Thrives in fast-paced environments; maintains keen attention to detail under pressure.</li><li>Familiarity with compliance, regulatory, or governance requirements related to enterprise analytics and reporting.</li></ul>
2026-03-23T00:00:00Z

Business Applications Analyst

Madison, WI
onsite
Permanent
90000 - 120000 USD / Yearly
Robert Half is seeking an experienced Business Applications Analyst for our client in Madison, to support and evolve their internal business systems environment. This role focuses on maintaining application reliability, improving business processes through technology, and partnering with stakeholders to ensure systems meet operational needs. The ideal candidate will combine technical troubleshooting skills, business analysis capabilities, and systems knowledge to support enterprise platforms and identify opportunities for improvement. This position collaborates closely with business users, IT teammates, and third-party vendors to ensure critical applications remain stable, scalable, and aligned with organizational goals. Core Responsibilities Application Operations & Support<ul><li>Provide day-to-day support for core enterprise platforms and associated integrations.</li><li>Troubleshoot system issues, coordinate resolutions, and ensure application reliability.</li><li>Monitor system performance and identify opportunities for optimization or improvement.</li></ul>Business & Systems Analysis<ul><li>Partner with business stakeholders to understand operational challenges and translate them into technical requirements.</li><li>Assist in designing system enhancements that maximize the value of existing platforms while limiting unnecessary customization.</li><li>Document workflows, functional requirements, and system configurations.</li></ul>Testing & Implementation<ul><li>Develop test plans and test cases for application enhancements and updates.</li><li>Coordinate user acceptance testing and regression testing activities.</li><li>Track and manage defects while working with vendors or internal teams to resolve issues.</li></ul>Technology Evaluation & Continuous Improvement<ul><li>Participate in evaluating new software tools or technologies that support evolving business requirements.</li><li>Contribute to initiatives that modernize or enhance the overall applications ecosystem.</li><li>Provide technical insight during system upgrades, integrations, and technology planning.</li></ul>Project Participation<ul><li>Support application-related initiatives from planning through implementation.</li><li>Assist with system configuration, documentation, and deployment tasks.</li><li>Collaborate with internal teams to ensure project deliverables meet timelines and quality standards. </li></ul>
2026-04-01T00:00:00Z

Bid Data Specialist

Austin, TX
remote
Temporary
14.25 - 19 USD / Hourly
We are looking for a detail-oriented Bid Data Specialist to join our team on a long-term contract basis. This role involves supporting the bidding team by managing bid opportunities, processing project data, and ensuring accurate documentation. If you are highly organized and have an eye for precision, this position offers an excellent opportunity to contribute to a fast-paced work environment. Responsibilities:• Analyze and interpret bid opportunities in the construction industry to generate accurate project reports.• Collect and manage private and Construction Manager (CM) bid project plans for assigned regions.• Accurately process incoming bid opportunities by adhering to established workflows and prioritization guidelines.• Ensure all required documentation is completed to maintain the integrity of data collection processes.• Monitor and meet performance metrics by maintaining accurate and timely data entry.• Conduct outbound calls to gather relevant information and confirm project details.• Perform thorough internet research to support data accuracy and completeness.• Collaborate with team members to maintain high standards in a production-driven environment.• Stay informed about key players and regional activities within the construction industry.• Support the bidding team in achieving overall project goals and deadlines.
2026-04-02T00:00:00Z

Data Engineer

Washington, DC
remote
Temporary
40 - 59.5 USD / Hourly
Data Modeling and Analysis<ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul>Dashboard Development and Visualization<ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
2026-03-18T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent
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.
2026-03-11T00:00:00Z

Data Engineer

Foxboro, MA
onsite
Temporary
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Foxborough, Massachusetts, on a long-term contract basis. In this role, you will design, optimize, and maintain data pipelines and storage solutions, leveraging modern tools to ensure high performance and reliability. This position offers an exciting opportunity to collaborate across teams and implement cutting-edge practices in data engineering and analytics. Responsibilities: • Optimize Amazon Redshift performance by configuring distribution keys, sort keys, and fine-tuning queries. • Develop and maintain robust data pipelines using AWS Glue and orchestrate workflows with Airflow. • Manage semantic layers and metadata to support reliable analytics and AI-driven insights. • Implement best practices for data partitioning, compression, and columnar storage formats. • Monitor and troubleshoot data workflows to ensure high availability, reliability, and automated observability. • Automate data processing tasks using Python and AWS native tools. • Enforce data security and governance policies, including row- and column-level controls, using Lake Formation and AWS services. • Oversee compliance monitoring and auditing through CloudWatch, CloudTrail, and similar tools. • Continuously refine and improve data architecture by adopting emerging AWS best practices and patterns. • Collaborate closely with Operations, Data Governance, and other teams to align with standards and achieve delivery objectives.
2026-03-26T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent
110000 - 120000 USD / Yearly
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role will support data-driven decision-making by ensuring reliable data flow, transformation, and accessibility across the organization. Key Responsibilities<ul><li>Design, build, and maintain ETL/ELT data pipelines</li><li>Develop and optimize data models and data architectures</li><li>Integrate data from multiple sources (APIs, databases, third-party systems)</li><li>Ensure data quality, integrity, and reliability</li><li>Collaborate with data analysts, data scientists, and business stakeholders</li><li>Monitor and troubleshoot data pipeline performance issues</li><li>Implement best practices for data governance and security</li></ul>
2026-03-20T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Fort Lauderdale, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply. Responsibilities: • Design, develop, and optimize scalable data pipelines and workflows to support business analytics. • Collaborate with cross-functional teams to gather and analyze data requirements. • Implement ETL processes to extract, transform, and load data from diverse sources. • Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing. • Integrate streaming data systems using Apache Kafka to enhance real-time analytics. • Monitor and troubleshoot data flow and systems to ensure high performance and reliability. • Develop and maintain documentation for data engineering processes and systems. • Ensure data security and integrity across all platforms and processes. • Work closely with stakeholders to translate business needs into technical solutions. • Stay updated with industry trends and emerging technologies to improve data engineering practices.
2026-03-31T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
76 - 88 USD / Hourly
We are looking for an experienced Data Engineer to join our team on a long-term contract basis. Based in Houston, Texas, this role offers an exciting opportunity to work with cutting-edge data technologies, design scalable solutions, and contribute to data-driven decision-making processes. If you are passionate about optimizing data systems and driving innovation, we encourage you to apply. Responsibilities: • Develop, maintain, and optimize scalable data pipelines using Apache Spark and Python. • Implement ETL processes to ensure seamless extraction, transformation, and loading of data across systems. • Collaborate with cross-functional teams to integrate Apache Hadoop and Apache Kafka into the data architecture. • Monitor and troubleshoot data systems to ensure reliability and performance. • Design and maintain data models, ensuring alignment with business requirements. • Conduct thorough testing and validation of data processes to guarantee accuracy. • Document data workflows and processes for future reference and team collaboration. • Provide technical guidance and support to team members on data engineering best practices. • Stay current on emerging technologies and trends in big data and analytics. • Contribute to improving data governance and security protocols.
2026-03-24T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
55 - 65 USD / Hourly
I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can design secure, scalable data pipelines, own ETL/ELT workflows, engineer cloud data infrastructure, and deliver dimensional and semantic models that our analysts, data scientists, and applications can trust.You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a real-time, governed, cost-aware, and highly automated data ecosystem.What You’ll Do<ul><li>Design & build end-to-end pipelines on AWS (batch and streaming) using services like Glue, EMR, Lambda, Step Functions, Kinesis, MSK, and Fargate.</li><li>Develop robust ETL/ELT (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li>Own data storage & processing layers: S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB, and Athena with strong partitioning, compaction, and performance tuning.</li><li>Implement data models (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li>Engineer secure infrastructure-as-code with Terraform (or CDK) across multi-account setups; implement CI/CD via GitHub Actions or AWS CodeBuild/CodePipeline.</li><li>Harden security & governance: use IAM, Lake Formation, KMS, Secrets Manager, VPC/PrivateLink, GLUE Catalog, and fine-grained access controls. Partner with SecOps on compliance (e.g., SOC 2, FedRAMP, HIPAA depending on dataset).</li><li>Observability & reliability: build monitoring with CloudWatch, OpenTelemetry, and data quality checks (e.g., Great Expectations, Deequ), implement SLOs and alerts.</li><li>Champion best practices: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li>Mentor mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul>
2026-03-10T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Saddle Brook, NJ
onsite
Permanent
125000 - 140000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-03-16T00:00:00Z

Data Engineer

Greenville, SC
onsite
Permanent
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an experienced Data Engineer to join our team in Greenville, South Carolina. This role offers an exciting opportunity to work with modern data technologies, ensuring the efficient operation and optimization of data pipelines and systems. The ideal candidate will bring a strong technical background, leadership skills, and a proactive approach to maintaining and improving data infrastructure. Responsibilities:• Oversee daily data loads and ensure the smooth operation of data pipelines and related systems.• Troubleshoot and resolve issues such as pipeline failures, performance bottlenecks, schema mismatches, and cloud resource disruptions.• Conduct root-cause analyses and implement permanent solutions to prevent recurring issues.• Maintain and optimize existing data processes, refactoring or retiring outdated workflows as necessary.• Design and build scalable data ingestion pipelines using technologies such as Azure Data Factory, Databricks, and Synapse Pipelines.• Collaborate with teams to create and improve operational runbooks, monitoring dashboards, and incident response workflows.• Develop reusable ingestion patterns for platforms like Guidewire DataHub, InfoCenter, and other business data sources.• Lead the implementation of real-time and event-driven data engineering solutions to enable operational insights and automation.• Partner with architects to modernize data workloads using advanced frameworks like Delta Lake and Medallion Architecture.• Mentor entry-level engineers, enforce coding best practices, and review code to ensure quality and compliance.
2026-03-11T00:00:00Z

Data Engineer

Columbus, OH
onsite
Temporary
38 - 44 USD / Hourly
We are looking for an experienced Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take on a leadership position, driving the development and optimization of data pipelines that support enterprise-wide analytics and decision-making. You will also play a key role in mentoring team members, fostering collaboration, and ensuring the integrity and quality of data across various business functions. Responsibilities:• Design, develop, and maintain efficient data pipelines to support enterprise analytics and reporting.• Collaborate with business analysts and data science teams to refine data requirements and ensure alignment with organizational goals.• Enhance and automate data integration and management processes to improve operational efficiency.• Lead efforts to ensure data quality by testing for accuracy, consistency, and conformity to business rules.• Provide training and guidance to team members and other stakeholders on data pipelining and preparation techniques.• Partner with data governance teams to promote vetted content into the curated data catalog for reuse.• Stay updated on emerging technologies and assess their impact on current systems and processes.• Offer leadership, coaching, and mentorship to team members, encouraging attention to detail in their development.• Work closely with stakeholders to understand business needs and ensure solutions meet those requirements.• Perform additional duties as assigned to support organizational objectives.
2026-03-24T00:00:00Z

Data Engineer

Saginaw, MI
remote
Permanent
140000 - 150000 USD / Yearly
The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization. Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation. This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.
2026-03-06T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
OverviewWe are looking for a Data Engineer to design, build, and maintain data solutions that enable reporting, analytics, and informed decision‑making.Responsibilities<ul><li>Design and maintain data pipelines and data models</li><li>Extract, transform, and load (ETL) data from multiple sources</li><li>Develop dashboards, reports, and analytics for business users</li><li>Ensure data accuracy, integrity, and governance</li><li>Collaborate with stakeholders to understand reporting needs</li></ul>
2026-03-18T00:00:00Z

Data Engineer

New York, NY
remote
Permanent
147000 - 172000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms. Responsibilities: • Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration. • Design and maintain scalable data solutions, including data warehouses and data lakes. • Collaborate with cross-functional teams to identify data requirements and deliver actionable insights. • Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization. • Leverage Python and SQL to build robust data workflows and automate processes. • Employ orchestration tools like Airflow and dbt to streamline data operations. • Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau. • Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights. • Implement CI/CD pipelines and DevOps practices to enhance data engineering processes. • Ensure data security and compliance across all systems and tools.
2026-03-05T00:00:00Z

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