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102 results for Data Warehouse jobs

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This long-term contract position offers an exciting opportunity to work in the manufacturing industry, leveraging your expertise in data processing and engineering. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using tools such as Apache Spark and Python. • Design efficient ETL processes to extract, transform, and load data from various sources. • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. • Implement and manage big data solutions using Apache Hadoop and Apache Kafka. • Monitor and optimize the performance of data systems to ensure reliability and scalability. • Ensure data quality and integrity through rigorous testing and validation processes. • Troubleshoot and resolve issues related to data pipelines and infrastructure. • Maintain documentation for data workflows and processes to ensure clarity and consistency. • Stay updated on emerging technologies and best practices in data engineering to continuously improve systems.
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector. Responsibilities: • Develop and maintain scalable data pipelines to efficiently process large volumes of data. • Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs. • Implement and optimize ETL processes to ensure the accuracy and reliability of data flows. • Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams. • Monitor and troubleshoot data systems to ensure optimal performance and reliability. • Perform data integration from multiple sources to create unified datasets for analysis. • Ensure data security and compliance with organizational and industry standards. • Continuously evaluate and adopt new tools and technologies to enhance data engineering practices. • Provide technical guidance and mentorship to entry-level team members as needed.
2026-04-14T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Data Engineer – CRM Integration (Hybrid in San Fernando Valley)Location: San Fernando Valley (Hybrid – 3x per week onsite)Compensation: $140K–$170K annual base salaryJob Type: Full Time, PermanentOverview:Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.Responsibilities:<ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul>
2026-04-03T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes. Responsibilities<ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul>
2026-04-24T00:00:00Z

Data Scientist

Saint Louis, MO
onsite
Temporary / Contract
60 - 90 USD / Hourly
Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making. Key Responsibilities:· Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges· Analyze large datasets using statistical methods, data mining, and visualization tools· Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions· Communicate results and recommendations clearly to both technical and non-technical stakeholders· Stay up to date with emerging trends, tools, and technologies in data science and analytics
2026-04-17T00:00:00Z

Data Scientist

San Francisco, CA
onsite
Temporary / Contract
85 - 105 USD / Hourly
We are looking for an experienced Data Scientist to join our team in San Francisco, California. In this senior-level role, you will lead initiatives from concept to completion, leveraging your expertise in data analytics, finance, and product development. This is a hybrid (2-3 days) long-term contract position based in San Francisco and offers a unique opportunity to work on impactful projects while mentoring less experienced team members. Responsibilities:• Take full ownership of projects, managing them from initial planning through delivery and implementation.• Develop and prototype innovative, data-driven tools, including internal tools such as pricing engines.• Define and implement parameters and logic for pricing outputs based on large datasets.• Build and maintain data models and prototypes to support business decision-making processes.• Collaborate with stakeholders to ensure tools and models align with business needs and fund-related use cases.• Perform hands-on analysis and modeling of large datasets to support pricing and tool development.• Create solutions that integrate data insights with financial operations, enhancing efficiency and accuracy.• Mentor and oversee less experienced team members, ensuring team goals and project deliverables are met.• Drive execution of projects by defining requirements, managing timelines, and delivering functional products.• Experience with large scale data processing and distributed systems like Spark or Airflow.
2026-04-24T00:00:00Z

Enterprise Data Warehouse Architect

San Diego, CA
onsite
Temporary / Contract
63 - 85 USD / Hourly
We are seeking an experienced Enterprise Data Warehouse (EDW) Architect to lead the design, evaluation, and implementation of a modern analytics and reporting platform. This role will be responsible for defining the end‑to‑end data architecture, selecting appropriate technologies, and ensuring scalable, governed, and business‑aligned data solutions across multiple subject areas.The EDW Architect will partner closely with business stakeholders and technical teams to translate business requirements into a sustainable enterprise data warehouse and BI ecosystem. Key Responsibilities<ul><li>Evaluate and recommend data warehousing platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Synapse)</li><li>Select and design ETL/ELT solutions and orchestration frameworks (e.g., dbt, Fivetran, ADF, Informatica, Talend)</li><li>Design dimensional data models, including star and snowflake schemas, aligned to business use cases</li><li>Lead subject area modeling and architecture across Supply Chain, Sales, Finance, HR, and Procurement</li><li>Define BI‑layer architecture and reporting standards using tools such as Power BI, Tableau, or Looker</li><li>Establish data governance, lineage, metadata, and data quality frameworks</li><li>Produce architecture documentation, implementation roadmaps, and conduct knowledge transfer and handover to delivery teams</li></ul>
2026-04-20T00:00:00Z

Data Analyst

Cleveland, OH
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making. Responsibilities:• Develop and refine data models to enhance performance and operational efficiency.• Create data warehouse solutions to manage and access structured and unstructured data effectively.• Design, implement, and maintain data integration processes to support analytics and data-driven applications.• Establish and enforce data validation procedures to ensure the reliability and consistency of information.• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.
2026-04-07T00:00:00Z

Data Analyst

Lyon Station, PA
onsite
Temporary / Contract
23.75 - 30 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques. Responsibilities:• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.• Perform accurate data entry tasks, ensuring the integrity of numeric information.• Develop and maintain Excel formulas to streamline data processing and reporting.• Generate detailed reports and dashboards tailored to organizational needs.• Collaborate with cross-functional teams to understand data requirements and provide solutions.• Ensure data accuracy and troubleshoot discrepancies in large datasets.• Provide actionable recommendations based on findings from data analysis.• Manage and organize datasets for easy retrieval and future use.• Monitor data workflows and suggest improvements to enhance efficiency.• Maintain confidentiality and security of sensitive information.If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com
2026-04-10T00:00:00Z

Data Analyst

Houston, TX
onsite
Temporary / Contract
48 - 53 USD / Hourly
Data Analyst – Enterprise Data & MetadataLocation: Houston, TX 77002Work Arrangement: OnsiteSchedule: 1st Shift, 9:00 AM – 5:00 PM Position Overview We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization. Key ResponsibilitiesData Mapping & Documentation<ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul>Metadata Management & Atlan<ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul>Data Analysis & Validation<ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul>Collaboration & Enablement<ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
2026-04-21T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.
2026-04-23T00:00:00Z

Data Analyst

Madison, WI
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization. The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable. This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri). Key Responsibilities<ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul>
2026-04-08T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary / Contract
48 - 70 USD / Hourly
Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making. Key Responsibilities:· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.· Generate business insights and present clear, actionable recommendations to stakeholders.· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.· Identify trends, patterns, and opportunities for process improvements and new initiatives.
2026-04-17T00:00:00Z

Data Analyst

Avenel, NJ
onsite
Permanent / Full Time
80000 - 85000 USD / Yearly
We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes. Responsibilities:• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.• Conduct data quality assessments and establish validation protocols to ensure data reliability.• Document data processes, methodologies, and technical specifications for future reference.• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.
2026-04-07T00:00:00Z

Data Analyst

Belgrade, ME
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies. Responsibilities: • Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems. • Develop and manage Azure-based Data Lakes and associated cloud data services. • Lead large-scale data migration projects from on-premise systems to Azure cloud environments. • Create scalable data models and curated datasets to support business intelligence and reporting. • Ensure data integrity, quality, governance, and security throughout all workflows. • Collaborate with technical and business teams to translate requirements into impactful data solutions. • Optimize data architectures to improve performance and scalability. • Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers. • Monitor and troubleshoot data workflows to ensure seamless operations.
2026-04-01T00:00:00Z

Data Analyst

Cordova, TN
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
We are looking for a Data Analyst to join a Long-term Contract opportunity based in Memphis, Tennessee. In this role, you will help strengthen the accuracy, consistency, and reliability of customer and operational data across enterprise systems while supporting teams that rely on clean information for daily business activities. This position is well suited for someone who is analytical, highly detail-focused, and comfortable managing request-driven work while contributing to better data practices and long-term process improvements. Responsibilities: • Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution. • Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability. • Examine source details before making changes and record updates clearly to support auditability and governance standards. • Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution. • Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency. • Help create and refine process documentation and standard operating guidelines that promote consistent data management practices. • Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders. • Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly. • Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems.
2026-04-24T00:00:00Z

Data Engineer - SQL Server

West Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This role is based in West Des Moines, Iowa, and offers the opportunity to work on advanced data solutions that support organizational decision-making and efficiency. The ideal candidate will have expertise in relational databases, data cleansing, and modern data warehousing technologies. Responsibilities: • Develop, maintain, and optimize data pipelines to support business operations and analytics. • Perform data extraction, transformation, and cleansing to ensure accuracy and reliability. • Collaborate with teams to design and implement data warehouses and data lakes. • Utilize Microsoft SQL Server to build and manage relational database structures. • Analyze data sources and provide recommendations for improving data quality and accessibility. • Create and maintain documentation for data processes, pipelines, and system architecture. • Implement best practices for data storage and retrieval to maximize efficiency. • Troubleshoot and resolve issues related to data processing and integration. • Stay updated on industry trends and emerging technologies to enhance data engineering solutions.
2026-04-02T00:00:00Z

Business Analytics/Data Analyst

Stamford, CT
remote
Temporary / Contract
60 - 65 USD / Hourly
Our client in the Lower Fairfield, CT area has an opening for Business Analyst Consultant. In this long-term contract role, you will play a pivotal part in driving data-driven insights and supporting strategic decisions across a dynamic organization. The ideal candidate will bring a wealth of expertise in data analysis and business intelligence, paired with a deep understanding of industry-specific practices. Responsibilities:• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.• Collaborate with teams to deliver actionable insights based on cleaned and organized data.• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.• Ensure high levels of accuracy and attention to detail in all data-related outputs.• Support strategic decision-making by analyzing transaction timelines and other critical metrics.• Apply knowledge of private equity operations to optimize data reporting and visualization.• Develop and maintain data visualization tools to communicate findings effectively.• Manage the integration and analysis of data across multiple operating systems.• Partner with senior executives to align analytics initiatives with organizational goals.If you are interested in this Business Analyst role, please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analyst"
2026-04-23T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas. Responsibilities: • Conduct detailed data analysis to identify patterns, trends, and actionable insights. • Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies. • Perform audits of commercial contracts to ensure compliance and accuracy. • Abstract and analyze key terms from contracts to support decision-making. • Collaborate with cross-functional teams to gather data requirements and optimize analytics processes. • Utilize advanced data analytics tools to process and interpret large datasets. • Provide recommendations to improve business operations based on data findings. • Ensure the integrity and security of data used for analysis and reporting. • Support the organization in leveraging data for strategic planning and forecasting.
2026-04-23T00:00:00Z

Data/Information Architect

Portsmouth, NH
onsite
Permanent / Full Time
140000 - 180000 USD / Yearly
We are seeking a Data Architect to lead the design and evolution of data architecture. This individual will play a critical role in shaping how data is collected, stored, integrated, and consumed across the organization, supporting analytics, and reporting. The ideal candidate brings a balance of hands‑on technical depth, architectural leadership, and strong collaboration with business and technology stakeholders Responsibilities<ul><li>Lead the design and implementation of scalable, secure, and high‑performing enterprise data architectures.</li><li>Define data architecture standards, reference architectures, and best practices across platforms.</li><li>Architect data solutions supporting analytics, BI, data science, and operational reporting.</li><li>Design and oversee data models for data warehouses, data lakes, and lakehouse architectures.</li><li>Partner with application, infrastructure, security, and analytics teams to ensure seamless data integration.</li><li>Evaluate and recommend data technologies, tools, and platforms aligned to business strategy.</li><li>Establish and enforce governance, data quality, metadata management, and lineage practices.</li><li>Provide technical leadership and mentorship to data engineers and analytics teams.</li><li>Translate business requirements into actionable data solutions for senior stakeholders.</li></ul>
2026-04-01T00:00:00Z

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.
2026-03-27T00:00:00Z

Data Engineer IV

Philadelphia, PA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-04-23T00:00:00Z

Data Automation Engineer

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Position OverviewWe are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models. Key ResponsibilitiesData Engineering & Automation<ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul>Performance Testing & Optimization<ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul>Platform Collaboration & DevOps Support<ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
2026-04-20T00:00:00Z

Data Engineering Manager

San Antonio, TX
remote
Permanent / Full Time
95000 - 115000 USD / Yearly
Additional Skills: Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization. Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers. Ability to evaluate when to leverage community dbt packages versus building custom solutions. Expert-level SQL for complex analytical transformations and performance optimization. Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys. Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases. Experience designing and implementing automated data quality testing and validation frameworks. Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows. Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems. Working knowledge of DataOps practices such as version control, CI/CD, and automated testing. Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements. Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms. Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities. Strong communication and change management skills, translating technical capabilities into clear business value. Required experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles. 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams. Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations. Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products. Expert-level SQL skills, including complex analytical queries and performance optimization Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions. Preferred Education and Experience: Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field. dbt Analytics Engineering certification or equivalent demonstrated expertise Hands-on experience with Snowflake or comparable cloud data warehouse platforms. Experience working with K–12 education data, student information systems, or education analytics. Experience building data solutions for multi-state or geographically distributed organizations. Exposure to data governance practices, including business glossaries and data quality frameworks Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms). Experience leading analytics teams using Agile or iterative delivery methodologies.
2026-04-20T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-04-22T00:00:00Z

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