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164 results for Data Architect jobs

Data Architect

Mayfield Heights, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Architect to join our team on a long-term contract basis in Cleveland, Ohio. This role involves designing scalable enterprise data platforms, ensuring data quality, and implementing robust data governance frameworks. You will play a pivotal role in leveraging Azure services and AI-driven analytics to optimize data architecture and enhance operational insights. Responsibilities:• Develop and implement enterprise-wide data architectures and canonical data models.• Establish data ownership protocols, governance standards, and quality benchmarks.• Analyze and stabilize data pipelines across distributed systems and platforms.• Perform detailed data analysis and reconciliation to identify and resolve integrity issues.• Design and implement monitoring tools to validate and improve data quality.• Enhance data observability and lineage tracking to streamline governance processes.• Utilize AI-driven analytics and automation to detect anomalies and accelerate decision-making.• Collaborate with engineering teams to align data architecture with integration services and platform requirements.• Optimize event-driven and distributed data systems for scalability and reliability.• Conduct hands-on work with Azure services, such as Azure Data Factory and Synapse, to implement solutions.
2026-05-12T00:00:00Z

Data Architect

Middleton, WI
onsite
Temporary / Contract
70 - 87 USD / Hourly
Data Architect (Product & Commerce Data)OverviewWe are seeking a Data Architect to lead the design, structure, and governance of product and consumer-facing data across a modern digital commerce ecosystem. This individual will play a critical role in shaping how product data is modeled, integrated, and delivered to create a seamless and personalized customer experience.This is a highly cross-functional role, partnering with digital, product, marketing, and data governance teams to ensure data consistency, scalability, and usability across platforms. What You’ll Do<ul><li>Architect and optimize product and consumer data models to support a dynamic B2C digital experience</li><li>Serve as the technical owner of product content and commerce data architecture, ensuring stability and scalability</li><li>Design and manage integrations between product data systems and digital commerce platforms</li><li>Partner with Product Owners, content teams, and developers to bring product data to life across digital channels</li><li>Identify gaps and inefficiencies in current data structures and recommend enhancements vs. full rebuilds</li><li>Establish and enforce data governance, data quality, and stewardship best practices</li><li>Collaborate with internal teams to align product data strategy with customer experience goals</li><li>Support the evolution of a multi-phase digital transformation, including ongoing enhancements to web and commerce platforms</li></ul> Day-to-Day<ul><li>Evaluate and refine product data structures to ensure consistency across platforms</li><li>Work hands-on with architecture and integration challenges between systems</li><li>Collaborate across business and technical teams to translate product complexity into scalable data models</li><li>Support ongoing content migration and platform enhancements</li><li>Act as a key voice in bridging business needs and technical execution</li></ul>
2026-05-19T00:00:00Z

Data/Information Architect

Chicago, IL
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern enterprise data ecosystem. This contract opportunity with potential for a permanent role centers on creating a scalable cloud-based platform that supports high-volume data, dependable reporting, and secure access for business users. The role will drive architecture decisions, improve platform performance, and establish durable frameworks that help teams manage and use data efficiently in a regulated environment. Responsibilities: • Lead the design and deployment of a modern cloud data platform using technologies such as Microsoft Fabric, Azure, and Snowflake. • Create scalable data models, storage patterns, and architectural standards that support complex datasets and long-term platform growth. • Develop and refine data pipelines for ingestion, transformation, and distribution to ensure reliable movement of information across the environment. • Investigate system bottlenecks and resolve performance challenges, including slow or failing queries, to strengthen platform stability and speed. • Optimize SQL-based processing and reporting workloads to improve efficiency for large-volume analytics use cases. • Prepare high-quality, trusted datasets for downstream reporting tools such as Power BI and Tableau. • Define and enforce data governance practices, security controls, and access standards to protect sensitive and regulated information. • Build repeatable workflows and automation-focused frameworks that reduce manual effort and support internal team adoption at scale.
2026-05-20T00:00:00Z

Data/Information Architect

San Antonio, TX
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for an experienced Data/Information Architect to join an engagement based onsite in San Antonio, Texas. In this role, you will lead the design of a modern Power BI reporting environment and help replace fragmented legacy reporting methods with a scalable, well-governed analytics solution. This position is ideal for someone who combines hands-on technical depth with strong stakeholder partnership and a practical approach to enterprise reporting strategy. Responsibilities:• Evaluate existing reporting tools, dashboards, databases, spreadsheets, and query-based outputs to understand the current analytics landscape and identify improvement opportunities.• Work with business partners to capture reporting needs, key metrics, usage trends, and priorities that will shape the target-state solution.• Define the overall Power BI architecture, including dataset strategy, semantic model structure, environment setup, and deployment approach.• Build efficient data models and reusable calculations that support scalable reporting, strong usability, and consistent business logic.• Integrate data from multiple enterprise and file-based sources while replacing manual transformation steps with streamlined Power Query processes.• Redevelop high-priority legacy reports in Power BI, improving performance, usability, and governance while reducing reliance on spreadsheets and standalone databases.• Apply security, access controls, and governance standards across datasets, reports, and workspaces to support compliance and clear ownership.• Tune model performance, refresh behavior, and query efficiency to ensure reliable reporting for business-critical use cases.• Produce clear technical documentation and provide knowledge transfer to internal teams, including recommendations for future enhancements after the engagement ends
2026-05-20T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent / Full Time
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-05-19T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
54 - 56 USD / Hourly
We are looking for a Data Engineer to join a growing Data & Reporting team in Austin, Texas. This contract opportunity with potential for a permanent role is ideal for a detail-oriented candidate who can turn complex business data into reliable reporting solutions that support informed decision-making across the organization. In this role, you will help build and maintain the data foundation behind dashboards, reports, and analytics tools while partnering with stakeholders to translate business needs into scalable technical solutions. Responsibilities: • Build and enhance data architectures that collect, structure, and deliver information for reporting and analytics use across the organization. • Design, develop, and support end-to-end ETL processes, moving data from source systems into data warehouses, operational stores, and business intelligence platforms. • Partner with business subject matter experts to identify data sources, define reporting needs, and shape data models that align with operational goals. • Create and maintain database solutions that support efficient storage, retrieval, performance tuning, and ongoing system reliability. • Administer server databases by handling upgrades, patching, troubleshooting, and optimization activities to ensure stable production environments. • Develop logical and conceptual data models and expand enterprise data structures to accommodate new business requirements and incoming data sources. • Translate business questions into technical specifications and build reporting-ready datasets, metadata, and presentation-layer objects for dashboards and self-service analytics. • Support data migration efforts from legacy platforms to modern solutions, including development, testing, deployment preparation, and code promotion activities. • Work closely with stakeholders to determine which metrics and data elements provide the most value for visual reporting and decision support. • Contribute to additional data engineering and reporting initiatives as business priorities evolve.
2026-05-21T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-05-12T00:00:00Z

Data Engineer

Glendale, CA
onsite
Temporary / Contract
82 - 87 USD / Hourly
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-05-20T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary / Contract
50 - 60 USD / Hourly
Our client is seeking a skilled Data Engineer to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with SQL, Python and Snowflake, along with the ability to assist with Selenium web scripting for automation initiatives. The ideal candidate will have hands-on expertise in ETL processes, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.Key Responsibilities<ul><li>Design, build and maintain scalable ETL pipelines to support data integration and reporting needs</li><li>Develop and optimize complex queries using SQL</li><li>Use Python to support data processing, transformation and automation tasks</li><li>Work within Snowflake to manage, transform and optimize cloud-based data solutions</li><li>Assist with automation efforts, including Selenium web scripting for web-based data extraction and process automation</li><li>Create and maintain logical and physical data models</li><li>Ensure data quality, integrity and consistency across multiple data sources</li><li>Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions</li><li>Monitor and troubleshoot data workflows and automation scripts</li><li>Document processes, workflows and technical specifications</li></ul>
2026-05-24T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary to Hire
30 - 40 USD / Hourly
Data EngineerOn-site | Austin, TX | Contract Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization. Responsibilities:• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.
2026-05-20T00:00:00Z

Data Engineer

Greer, SC
onsite
Temporary to Hire
64.6 - 74.8 USD / Hourly
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing. Responsibilities: • Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs. • Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance. • Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows. • Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement. • Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls. • Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components. • Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices. • Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows. • Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
2026-05-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality. Responsibilities: • Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use. • Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources. • Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows. • Work with Hadoop-based environments to manage distributed data processing and storage activities. • Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing. • Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency. • Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
2026-05-20T00:00:00Z

Data Engineer

Montvale, NJ
onsite
Permanent / Full Time
125000 - 150000 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>
2026-04-28T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to support the design, development, and maintenance of scalable data solutions within a Microsoft-focused environment. This role will work closely with business and technical teams to support reporting, analytics, and data integration initiatives.Responsibilities<ul><li>Develop and maintain data pipelines and ETL processes</li><li>Support data integration and transformation efforts</li><li>Build and optimize SQL queries, stored procedures, and database solutions</li><li>Assist with data warehousing and reporting initiatives</li><li>Monitor data quality, integrity, and system performance</li><li>Collaborate with analysts, developers, and business stakeholders</li><li>Support documentation and troubleshooting efforts</li></ul>
2026-05-12T00:00:00Z

Data Engineer

Greer, SC
onsite
Temporary to Hire
64.6 - 74.8 USD / Hourly
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion. Responsibilities: • Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs. • Create new data integration workflows while troubleshooting and resolving issues in existing pipelines. • Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability. • Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency. • Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement. • Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain. • Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate. • Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
2026-05-22T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent / Full Time
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.
2026-05-08T00:00:00Z

Data Engineer

Poughkeepsie, NY
remote
Temporary / Contract
58 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment. Responsibilities: • Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data. • Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management. • Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities. • Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance. • Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets. • Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate. • Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support. • Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures. • Protect data assets by applying security controls and compliance standards across the Databricks environment. • Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
2026-05-20T00:00:00Z

Data Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is seeking a Data Engineer to build, scale, and lead high‑impact data solutions. This role combines hands‑on data engineering with team leadership, mentoring, and oversight of end‑to‑end analytics pipelines that turn raw data into actionable business insights.This role will be Business facing, working with departments across the organization to address data solutions.This role is Onsite in Albuquerque, New Mexico What You’ll DoLead and mentor a team of data engineers and analysts; set standards, review work, and support professional growthDesign, build, and oversee scalable ETL pipelines using Python, SQL, SSIS, and AirflowDevelop dimensional data models using Kimball methodologyCreate dashboards and reports using Power BI and SSRSPartner with business and IT stakeholders on analytics, ad hoc reporting, and data initiativesEnsure data quality, governance, and compliance with PCI, PII, and regulatory standardsAutomate workflows and reporting using Python, PowerShell, and modern analytics toolsOther duties as needed
2026-05-20T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
40 - 45 USD / Hourly
We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders. This is a 3-6 month contract opportunity. Responsibilities:• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.
2026-05-21T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Seeking a Data Engineer to build and maintain data pipelines and reporting systems.Responsibilities<ul><li>Design and maintain ETL processes</li><li>Work with large datasets in SQL</li><li>Optimize database performance</li><li>Support BI/reporting teams</li></ul>
2026-05-05T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
57 - 63 USD / Hourly
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing. Responsibilities: • Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery. • Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers. • Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse. • Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff. • Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs. • Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability. • Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations. • Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
2026-05-20T00:00:00Z

Data Engineer

Spartanburg, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Data Engineer to help shape and strengthen the organization’s data ecosystem in Spartanburg, South Carolina. This role focuses on building scalable data structures and reliable integration solutions that support analytics, operational reporting, and long-term business goals. The ideal candidate brings a strong background in modern data platforms and enjoys partnering with technical and business teams to deliver secure, high-quality data solutions. Responsibilities: • Develop and refine data models, storage frameworks, and analytical repositories that enable efficient access to trusted information. • Create scalable architecture approaches that support enterprise objectives while improving performance, reliability, and long-term maintainability. • Establish data design standards, architectural patterns, and governance practices that promote consistency, quality, and security across platforms. • Partner with software developers, analytics teams, and business stakeholders to translate operational needs into practical data solutions. • Build and enhance data pipelines and integration processes that move information accurately across systems and support reporting and analysis. • Implement processes for master data, metadata, and data quality management to strengthen governance and regulatory compliance. • Assess emerging tools, cloud technologies, and platform options to recommend solutions that balance cost, scalability, and functionality. • Work closely with data engineering peers to encourage strong technical alignment, knowledge sharing, and continuous improvement across the team.
2026-05-05T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-05-12T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment. Responsibilities: • Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability. • Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory. • Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability. • Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones. • Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery. • Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards. • Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability. • Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
2026-05-16T00:00:00Z

Data Engineer

Asheboro, NC
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are looking for an experienced Data Engineer to design and support data exchange solutions that connect external business partners with internal systems. This role will mainly work remotely with different office locations. We are looking for a candidate who lives in NC, within 2 hours of Greensboro, NC. This role focuses on building reliable integration processes, transforming structured files and API-based data, and ensuring critical information is available for reporting and operational use. The ideal candidate brings strong technical depth in data movement and troubleshooting, along with a practical understanding of manufacturing and supply chain workflows. Responsibilities:• Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures.• Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12.• Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement.• Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance.• Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing.• Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making.• Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions.• Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats.• Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention.
2026-05-01T00:00:00Z