360 results for Data Analyst Technology jobs

Data Scientist

Philadelphia, PA
remote
Temporary
0 - 0 USD / Yearly
We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks. Responsibilities: • Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise. • Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives. • Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials. • Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate. • Conduct user interviews to understand learning challenges and tailor content to meet specific needs. • Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices. • Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization. • Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels. • Identify opportunities for new program initiatives that support analytics tools and data literacy. • Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
2026-03-04T00:00:00Z

Data Scientist

Miami, FL
onsite
Temporary
0 - 0 USD / Yearly
Responsibilities:<ul><li>Collect, process, and analyze large structured and unstructured datasets to identify meaningful trends, patterns, and opportunities for business improvement</li><li>Develop, test, and deploy predictive models, machine learning algorithms, and statistical analyses to address key business challenges </li><li>Collaborate with cross-functional teams, including business analysts, engineers, and stakeholders, to identify analytics solutions and align deliverables with strategic goals </li><li>Communicate complex findings and recommendations clearly to technical and non-technical audiences through reports, dashboards, and visualizations</li><li>Automate repetitive tasks, streamline data flows, and ensure data quality and governance throughout the analytics lifecycle</li><li>Stay updated on industry trends, emerging technologies, and best practices in data science and AI to continuously enhance solutions</li></ul>
2026-02-17T00:00:00Z

Data Reporting Specialist

Riviera Beach, FL
onsite
Temporary
0 - 0 USD / Yearly
The Data Reporting Specialist is responsible for data management, reporting, and analysis within our business environment. This role serves as a key point of contact between IT and management, ensuring data integrity, system adoption, and timely reporting for both internal and external stakeholders. Key Responsibilities:<ul><li>Organize, retrieve, and analyze business and operations data across multiple sources/applications.</li><li>Act as a subject matter expert and champion for the organization’s Electronic Medical Records/Electronic Health Records (EMR/EHR) system (Credible Behavioral Health), promoting its adoption.</li><li>Develop and manage scheduled and ad hoc data reports for internal and external consumers, ensuring compliance with organizational standards and requirements.</li><li>Perform regular data uploads and submissions (daily, monthly, quarterly) as required by stakeholders or regulatory agencies.</li><li>Maintain security and confidentiality of all data via appropriate access controls and adherence to relevant security standards.</li><li>Provide direct support to EMR/EHR end-users and coordinate troubleshooting with IT as needed.</li><li>Organize, implement, and manage new hire onboarding, as well as ongoing EMR/EHR system training for staff.</li><li>Participate in meetings, trainings, and provide user support and other data-related tasks as assigned by the supervisor.</li></ul>
2026-02-27T00:00:00Z

Data Security Analyst

Savannah, GA
onsite
Contract / Temporary to Hire
43.5385 - 50.413 USD / Hourly
We are looking for a skilled and meticulous Data Security Analyst to join our team in Savannah, Georgia. In this Contract to permanent position, you will play a pivotal role in safeguarding sensitive information and ensuring compliance with data protection regulations. This opportunity is ideal for professionals passionate about cybersecurity and eager to work with cutting-edge tools like Microsoft Purview and AI-driven security solutions. Responsibilities: • Establish and enforce data governance frameworks to ensure secure handling and classification of information. • Develop and implement policies for data classification across both structured and unstructured datasets. • Configure and manage data loss prevention tools on Microsoft 365 and other platforms to mitigate potential risks. • Monitor alerts related to data loss prevention and respond promptly to incidents with effective remediation strategies. • Integrate AI-driven tools such as Microsoft Copilot for Security to improve threat detection and automate compliance reporting. • Conduct thorough risk assessments and gap analyses to identify vulnerabilities and ensure adherence to industry standards. • Provide documentation and support for audits, ensuring compliance with regulatory requirements. • Deliver security awareness training to promote best practices in data protection and secure information handling. • Collaborate with cross-functional teams to streamline data lifecycle management and enhance overall security posture.
2026-03-12T00:00:00Z

Data and Analytics Manager

Dallas, TX
onsite
Temporary
75 - 85 USD / Hourly
We are looking for an experienced Data and Analytics Manager to lead master data management initiatives within our organization. This role involves developing and implementing data governance policies and procedures to ensure accuracy, consistency, and reliability across all systems. As a long-term contract position based in Dallas, Texas, this opportunity offers the chance to collaborate with cross-functional teams and lead efforts to optimize data processes. Responsibilities: • Develop and oversee master data governance standards to ensure data accuracy, consistency, and reliability. • Collaborate with stakeholders across departments to communicate business processes and data requirements. • Approve and process requests for creating or modifying master data while auditing completed mappings for quality assurance. • Lead a team of mapping specialists, allocating resources effectively and ensuring adherence to timelines and priorities. • Create and maintain documentation to support team training and mapping verification processes. • Monitor and audit team performance to ensure consistent quality and address knowledge gaps. • Coordinate updates and progress reports for organizational collaboration meetings, ensuring alignment with business goals. • Proactively communicate with stakeholders, providing regular updates on team efforts, challenges, and achievements. • Review and analyze source data processes to ensure a thorough understanding of data mapping requirements. • Track changes to IT architecture and processes to assess impacts on data usage and quality.
2026-03-10T00:00:00Z

Data Visualization Specialist

Stamford, CT
onsite
Permanent
100000 - 120000 USD / Yearly
We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports. Responsibilities:• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.• Interpret and analyze complex datasets to generate meaningful business recommendations.• Ensure data accuracy and integrity by meticulously validating and reconciling information.• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.• Design intuitive and user-friendly dashboards that align with visualization best practices.• Utilize relational data sources to identify and explore data relationships.• Develop Power BI reports that are embedded within applications when required.• Apply knowledge of structured datasets to extract insights from operational systems.• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.
2026-03-10T00:00:00Z

Business Analytics Specialist

Las Vegas, NV
onsite
Permanent
80000 - 90000 USD / Yearly
Our client is seeking a detail-oriented Business Analytics Specialist to support enterprise reporting, dashboard creation, and operational performance insights. This role is responsible for turning complex business data into clear, actionable information that helps leadership understand trends, identify opportunities, and improve performance across multiple locations. This position is onsite in Las Vegas, NV, Monday-Friday. <ul><li>Develop and maintain dashboards tracking core operating metrics such as sales, margin, labor productivity, guest counts, and site-level profitability.</li><li>Analyze KPI trends and identify drivers behind variances versus budget and forecast.</li><li>Support recurring and ad hoc reporting using standardized data models.</li><li>Manage and validate data flows from site-level systems into centralized reporting datasets.</li><li>Perform basic cohort and trend analysis to evaluate pricing, product, and operational initiatives.</li><li>Present clear, data-driven insights to Operations and leadership teams during regular business reviews.</li><li>Maintain data accuracy and consistency across locations and reporting structures.</li><li>Support business users in understanding and utilizing dashboards effectively.</li></ul>
2026-02-19T00:00:00Z

Senior Data Analyst

Charlotte, NC
onsite
Temporary
36 - 44 USD / Hourly
We’re partnering with a growing organization seeking a Senior Data Analyst to serve as the internal NetSuite subject matter expert and lead financial reporting and analytics initiatives.This role sits at the intersection of Finance and Data, working closely with a collaborative finance team to elevate reporting, system optimization, and executive-level financial visibility. The ideal candidate will take ownership of NetSuite reporting architecture and build scalable dashboards in Microsoft Power BI that drive informed decision-making across the organization. What You’ll Own:NetSuite Leadership<ul><li>Serve as the internal NetSuite SME (Saved Searches, Suite Analytics Connect, system architecture)</li><li>Optimize reporting accuracy and improve overall system usage</li><li>Strengthen data governance and financial visibility</li><li>Support ongoing system enhancements and continuous improvement</li></ul>Executive-Level Reporting<ul><li>Build and scale Power BI dashboards connected directly to NetSuite (ODBC/API or data warehouse)</li><li>Develop advanced DAX measures and complex KPI calculations</li><li>Automate refreshes and manage workspace security</li><li>Create intuitive, drill-down dashboards for Finance and Operations</li></ul>Advanced Analytics<ul><li>Write complex SQL queries to unify disparate datasets</li><li>Deliver variance analysis and forecasting insights</li><li>Move reporting beyond descriptive analytics toward predictive insights</li></ul>Stakeholder Collaboration<ul><li>Partner closely with Finance and department leaders</li><li>Standardize data inputs for cleaner, more reliable reporting</li><li>Present actionable insights and recommendations to executive leadership</li></ul>
2026-02-23T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary
71.25 - 82.5 USD / Hourly
We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems. Responsibilities: • Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming. • Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations. • Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage. • Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs. • Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments. • Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets. • Support continuous integration and deployment processes for Databricks jobs and system configurations. • Ensure high standards of data quality and security across all engineering tasks. • Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
2026-03-12T00:00:00Z

Data Engineer

Savannah, GA
remote
Contract / Temporary to Hire
35.625 - 41.25 USD / Hourly
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability. Responsibilities: • Design and implement robust data lake and warehouse architectures to support organizational needs. • Develop efficient ETL pipelines to process and integrate data from multiple sources. • Collaborate with analytics teams to create and refine data models for reporting and visualization. • Monitor and maintain data systems to ensure quality, security, and availability. • Troubleshoot data-related issues and perform in-depth analyses to identify solutions. • Define and manage organizational data assets, including SaaS tools and platforms. • Partner with IT and security teams to meet compliance and governance standards. • Document workflows, pipelines, and architecture for knowledge sharing and long-term use. • Translate business requirements into technical solutions that meet reporting and analytics needs. • Provide guidance and mentorship to team members on data usage and best practices.
2026-03-09T00:00:00Z

Data Engineer

Lithonia, GA
onsite
Permanent
95000 - 100000 USD / Yearly
We are looking for a skilled Data Engineer to join our logistics team in Lithonia, Georgia. In this role, you will design, construct, and maintain data pipelines and infrastructure to support analytics and operational systems. You will play a key role in enabling data visualization tools, optimizing data processes, and ensuring the accuracy and availability of critical information. Responsibilities: • Design and implement data pipelines to efficiently extract, transform, and load data from multiple sources. • Develop and maintain data models and storage solutions to support analytics and reporting needs. • Collaborate with stakeholders to troubleshoot data inconsistencies and resolve technical issues. • Utilize Tableau or Power BI to create meaningful data visualizations that drive business insights. • Write and optimize database procedures, triggers, and other SQL-based functionalities. • Manage and monitor databases to ensure their performance and reliability. • Provide technical guidance to analysts on best practices in data governance and performance optimization. • Participate in cross-functional projects to enhance data accessibility and quality across departments. • Explore and integrate Python-based solutions to enhance data engineering processes. • Assist in training and development related to data availability and analytics tools.
2026-02-17T00:00:00Z

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

Woodland Hills, CA
onsite
Permanent
140000 - 175000 USD / Yearly
Data Engineer (Hybrid, Los Angeles)Location: Los Angeles, CaliforniaCompensation: $140,000 - $175,000 per yearWork Environment: Hybrid, with onsite requirementsAre you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated Data Engineer to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.Key Responsibilities:<ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul>
2026-02-23T00:00:00Z

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

Tampa, FL
onsite
Permanent
100000 - 115000 USD / Yearly
Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.Full-time position, HYBRID schedule out of their Tampa office.Compensation ranging $100-115K depending on experience*Medical benefits are also 100% covered after onboarding period* Data Engineer (BI/ETL) focused on building and optimizing ETL/ELT pipelines, migrating/cleaning data between internal, vendor, and legacy systems, and improving data quality. SQL is absolutely required, and this role leans heavily into backend data movement — not dashboarding. Top Skills Looking For:<ul><li>Strong SQL (non negotiable)</li><li>Experience designing and maintaining ETL / ELT pipelines using frameworks such as Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li>Experience moving data across multiple systems</li></ul>Description:Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.• Design and develop BI solutions.• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.• Model, implement, and maintain databases and data marts to support BI reporting.• Develop extract, transform, load (ETL) to support the loading of data into data marts.• Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.• Perform other related duties as required.
2026-03-04T00:00:00Z

Data Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-03-04T00:00:00Z

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

Tampa, FL
remote
Permanent
90000 - 130000 USD / Yearly
IMMEDIATE HIRE NEEDED. Interviews to begin the first week of February. We are looking for a skilled Snowflake Marketing Data Engineer to join our team in Tampa, Florida in a hybrid in-office work schedule (2 to 3 days remote per week) preferably, remote candidates may be considered depending of the quality in match. In this role, you will be responsible for designing, implementing, and maintaining data solutions that support critical business operations. Your expertise will play a key part in driving data-driven decisions and optimizing performance across various platforms. Responsibilities:• Develop and maintain ETL processes to efficiently extract, transform, and load data from multiple sources.• Analyze marketing data to uncover insights and support strategic decision-making.• Create and manage dashboards and reports using Power BI to visualize data effectively.• Integrate and leverage tools like Braze and Google Analytics to enhance data tracking and reporting capabilities.• Collaborate with cross-functional teams to ensure the accuracy and reliability of data systems.• Optimize database performance and troubleshoot any issues related to data pipelines.• Document data workflows and provide training to stakeholders on best practices.• Work with cloud-based platforms, such as Snowflake, to store and manage large datasets.• Ensure data security and compliance with company policies and standards.
2026-03-12T00:00:00Z

Data Engineer

Wayne, PA
onsite
Contract / Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively. Responsibilities: • Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon. • Collaborate closely with business teams to understand requirements and provide actionable analytics. • Lead the creation of scalable and efficient data solutions tailored to business needs. • Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results. • Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable. • Build robust APIs and ensure their effective implementation. • Utilize Microsoft SQL for database management and optimization. • Provide technical guidance and mentorship to ensure project success. • Troubleshoot and resolve issues related to data workflows and integrations. • Continuously evaluate and improve processes to enhance efficiency and performance.
2026-03-10T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-03-03T00:00:00Z

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

Mayville, WI
remote
Temporary
66.5 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join our dynamic team in Mayville, Wisconsin. In this role, you will play a key part in developing and enhancing reporting and analytics solutions within a modern data environment. The ideal candidate is passionate about transforming complex data into actionable insights, improving processes, and creating reliable reporting systems. This is a long-term contract position offering the opportunity to make a meaningful impact within a collaborative and forward-thinking team. Responsibilities: • Design, develop, and maintain scalable data pipelines to support reporting and analytics needs. • Create and optimize Power BI dashboards and reports to deliver accessible and trustworthy insights. • Automate workflows using Power Automate to improve operational efficiency. • Develop scripts using languages such as PowerShell or Python to streamline data processing tasks. • Integrate and manage data sources including Oracle, Snowflake (hosted within Azure), and other enterprise systems. • Collaborate with stakeholders to gather requirements and deliver customized solutions. • Support the transition to cloud-based data environments, including Azure Data Warehouse and Fabric. • Troubleshoot and resolve data-related issues, ensuring data integrity and reliability. • Document processes and workflows to ensure clarity and maintainability. • Stay updated on industry trends to recommend and implement innovative data solutions.
2026-03-05T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
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2026-03-13T00:00:00Z

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

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

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