We are looking for a highly skilled Senior Data Engineer to join our team in Edgewood, New York. This role is ideal for someone who is detail oriented and has expertise in developing scalable data pipelines, modeling data structures, and optimizing data infrastructure for performance and reliability. The right candidate will play a key role in shaping our data engineering function and collaborating with cross-functional teams to deliver impactful solutions.<br><br>Responsibilities:<br>• Design and maintain efficient and scalable data pipelines to support various operational and commercial systems.<br>• Develop and manage modern data warehouse infrastructure using tools such as BigQuery and dbt.<br>• Integrate, transform, and organize data from multiple sources into structured, queryable formats.<br>• Create and manage logical and physical data models to enhance analytics and reporting capabilities.<br>• Collaborate with stakeholders to enable self-service reporting and build dashboards using platforms like Looker and Looker Studio.<br>• Implement best practices for data engineering, including testing, monitoring, and ensuring pipeline reliability.<br>• Optimize the performance, scalability, and cost-efficiency of data pipelines and warehouses.<br>• Partner with engineering, operations, and business teams to translate data needs into scalable solutions.<br>• Contribute to the improvement of engineering processes, coding standards, and documentation.<br>• Mentor team members and support onboarding as the team grows.
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.</p><p>• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.</p><p>• Create and maintain ETL processes to ensure data integrity and accessibility.</p><p>• Manage and monitor large-scale data processing systems, ensuring seamless operation.</p><p>• Design and deploy solutions for real-time data streaming using Apache Kafka.</p><p>• Perform advanced data analytics to support business decision-making.</p><p>• Troubleshoot and resolve issues related to data infrastructure and applications.</p><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are 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 <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><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><p><br></p>
<p>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.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><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><p><strong>Data Pipeline Automation & Orchestration</strong></p><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><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
<p><strong>AWS Big Data Architect (with Hadoop) </strong></p><p><strong>Location:</strong> Hybrid 4x Onsite – Philadelphia, PA</p><p><strong>Contract Duration:</strong> April 6, 2026 – December 31, 2026</p><p><strong>Employment Type:</strong> W2 Contract</p><p><strong>Overview</strong></p><p>We are seeking a highly skilled <strong>AWS Big Data Architect / Senior Data Engineer</strong> to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.</p><p>This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable Big Data Warehouse solutions across the full data supply chain.</li><li>Build and implement metadata management solutions.</li><li>Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.</li><li>Enhance and expand the enterprise Data Lake environment.</li><li>Solve complex data integration challenges across multiple systems.</li><li>Design and execute strategies for real-time data analysis and decision-making.</li><li>Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.</li><li>Work closely with Data Science teams to improve actionable insights.</li><li>Continuously expand knowledge of new tools, platforms, and technologies.</li></ul>
<p>We are on a mission to make our communities safer and more secure. Our cutting-edge public safety product aims to prevent and solve crimes through advanced analytics, visualization, and performance-driven solutions. Join us in creating a state-of-the-art platform that will revolutionize public safety. We’re seeking a Senior Full-Stack Engineer with deep expertise in NodeJS and Angular to drive the development of this cutting-edge product. You’ll play a key role in building highly performant, analytics-driven, and visualization-focused applications that empower decision-makers with actionable insights.</p><p><br></p><p>Key Responsibilities:</p><p>• Optimize for speed, scalability, and security; ensure compliance with standards.</p><p>• Build reusable components and libraries; lead code reviews and testing.</p><p>• Design and develop scalable and high-performance applications using NodeJS for backend and Angular for front-end development.</p><p>• Architect solutions with a focus on data analytics, visualizations, and real-time performance metrics that aid in crime prevention and resolution.</p><p>• Collaborate with cross-functional teams to ensure seamless integration of frontend and backend services, ensuring a fluid user experience for public safety officials and community users.</p><p>• Optimize applications for maximum speed, scalability, and security, ensuring compliance with best practices and regulatory standards.</p><p>• Develop reusable components and libraries that can be leveraged across multiple applications.</p><p>• Lead efforts in code reviews, testing, and continuous integration to ensure robust, reliable, and maintainable codebases.</p>
<p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
<p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration.<br><br>Responsibilities:<br>• Design, develop, and maintain large-scale data pipelines to support business needs.<br>• Optimize data workflows using tools such as Apache Spark and Python.<br>• Implement and manage ETL processes for seamless data transformation and integration.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure consistent performance and reliability.<br>• Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities.<br>• Ensure compliance with data security and privacy standards.<br>• Analyze and interpret complex datasets to provide actionable insights.<br>• Document processes and solutions to support future scalability and maintenance.
We are looking for an experienced Data Engineer Lead to join our team in Columbus, Ohio on a contract basis. In this role, you will be responsible for leading the development and operation of data pipelines, ensuring seamless integration and delivery of data for analytics initiatives. As a senior member of the team, you will also take on a mentorship role, guiding and developing less experienced team members while driving technical excellence.<br><br>Responsibilities:<br>• Design, build, and maintain robust data pipelines to support enterprise-wide analytics initiatives.<br>• Collaborate with data science and business teams to refine data requirements and ensure streamlined data consumption.<br>• Lead efforts to renovate and automate data management infrastructure to enhance integration and processing efficiency.<br>• Implement and enforce data quality standards to ensure accuracy, consistency, and reliability of data.<br>• Provide training and guidance to colleagues on data preparation techniques and tools.<br>• Partner with data governance teams to curate and promote reusable data content across the organization.<br>• Communicate complex data insights effectively to both technical and non-technical stakeholders.<br>• Stay informed on emerging technologies, assessing their potential impact and integrating relevant advancements.<br>• Offer leadership, coaching, and mentorship to team members, fostering a collaborative and growth-oriented environment.<br>• Work closely with stakeholders to understand business goals and align services to meet those needs.
<p>We’re looking for a <strong>Senior Data Engineer</strong> to design, build, and optimize modern data pipelines and architecture. You’ll support analytics, reporting, and data‑driven applications by creating scalable, efficient data systems across cloud environments.</p><p><strong>What You’ll Do</strong></p><ul><li>Design and build <strong>ETL/ELT pipelines</strong> across cloud platforms (Azure, AWS, or GCP)</li><li>Architect and maintain Data Lake / Lakehouse environments</li><li>Develop and optimize data ingestion, transformation, and orchestration workflows</li><li>Ensure data quality, reliability, and scalability across all pipelines</li><li>Collaborate with BI developers, analysts, and business stakeholders</li><li>Implement best practices around versioning, testing, and deployment</li><li>Support real‑time and batch data processing initiatives</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This position offers the opportunity to work remotely while contributing to critical data management and integration efforts. The ideal candidate will have hands-on experience with customer master data in ECC6, and the ability to create, maintain, and manage data effectively.<br><br>Responsibilities:<br>• Develop and maintain customer master data within ECC6, ensuring data accuracy and consistency.<br>• Create new customer profiles and manage existing ones, maintaining high standards of data integrity.<br>• Support the integration process by working with custom tables related to customer data.<br>• Collaborate with cross-functional teams to ensure seamless data flow and effective data management.<br>• Utilize tools such as Apache Spark, Python, and ETL processes to extract, transform, and load data efficiently.<br>• Leverage Apache Hadoop for scalable data storage and processing solutions.<br>• Implement Apache Kafka to enable real-time data streaming and integration.<br>• Troubleshoot and resolve data-related issues, ensuring system reliability.<br>• Provide documentation and training to stakeholders on data management processes.<br>• Stay updated on industry best practices and emerging technologies to enhance data engineering workflows.
<p><strong>Senior Cloud Engineer</strong></p><p>Austin, TX | Hybrid | Contract</p><p><br></p><p>We are partnering with an Austin based client to identify a Senior Cloud Engineer for their 6-month contract engagement. The Senior Cloud Engineer will design, build, and support cloud infrastructure across enterprise environments. This role is hands‑on and focuses on architecting and automating cloud solutions, with an emphasis on databases, identity, networking, and security. You will work closely with engineering, architecture, and product teams to drive cloud adoption and ensure reliable, scalable, secure platform delivery.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Build, update, and troubleshoot cloud infrastructure across large, complex environments.</li><li>Develop and automate infrastructure using Terraform and other IaC tools.</li><li>Create reusable, modular, and orchestrated code to deploy resources consistently and efficiently.</li><li>Analyze technical requirements and propose meaningful, actionable solutions.</li><li>Research and implement new tools, patterns, and cloud-native technologies.</li><li>Continuously identify opportunities to improve processes, tooling, and technical approaches.</li></ul>
We are looking for an experienced Senior Data Engineer to join our team in Atlanta, Georgia. This role is ideal for someone with a strong background in data architecture, cloud platforms, and analytics tools. You will play a key role in designing, building, and optimizing data systems to support business operations and decision-making.<br><br>Responsibilities:<br>• Develop and maintain scalable data models and database designs to support business needs.<br>• Implement and manage data integration workflows using ETL processes and tools.<br>• Build and optimize data lakes and LakeHouse architectures on Azure platforms.<br>• Utilize Microsoft Fabric and Azure Databricks to create advanced data solutions.<br>• Design and develop dashboards and reports using Power BI to provide actionable insights.<br>• Ensure data governance by establishing policies, procedures, and standards for data use.<br>• Collaborate with cross-functional teams to align data strategies with organizational goals.<br>• Leverage Python and SQL for data analysis, transformation, and automation.<br>• Work with middleware solutions like MuleSoft for efficient data communication and integration.<br>• Stay updated on emerging technologies to continuously improve data engineering practices.
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.<br><br>Responsibilities:<br>• Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming.<br>• Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations.<br>• Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage.<br>• Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs.<br>• Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments.<br>• Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets.<br>• Support continuous integration and deployment processes for Databricks jobs and system configurations.<br>• Ensure high standards of data quality and security across all engineering tasks.<br>• Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
We are looking for an experienced Senior Data Engineer with a strong background in Python and modern data engineering tools to join our team in West Des Moines, Iowa. This is a long-term contract position that requires expertise in designing, building, and optimizing data pipelines and working with cloud-based data warehouses. If you thrive in a collaborative environment and have a passion for transforming raw data into actionable insights, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, debug, and optimize Python-based data pipelines using frameworks such as Flask, Django, or FastAPI.<br>• Design and implement data transformations in a data warehouse using tools like dbt, ensuring high-quality analytics-ready datasets.<br>• Utilize Amazon Redshift and Snowflake for managing large-scale data storage and performing advanced querying and optimization.<br>• Automate data integration processes using platforms like Fivetran and orchestration tools such as Prefect or Airflow.<br>• Build reusable and maintainable data models to improve performance and scalability for analytics and reporting.<br>• Conduct data analysis and visualization leveraging Python libraries such as NumPy, Pandas, TensorFlow, and PyTorch.<br>• Manage version control for data engineering projects using Git and GitHub.<br>• Ensure data quality through automated testing and validation processes.<br>• Document workflows, code, and data transformations following best practices for readability and maintainability.<br>• Optimize cloud-based data warehouse and lake platforms for performance and integration of new data sources.
<p><strong>Overview</strong></p><p>Our client is seeking a <strong>Senior Backend Engineer</strong> with deep expertise in <strong>OAuth 2.0</strong>, <strong>Auth0</strong>, and backend development using <strong>.NET (C#)</strong> and <strong>PHP</strong>. This engineer will help design and implement identity, authorization, and reseller-channel features within a distributed, multi-tenant architecture.</p><p>This is a hands-on development role requiring strong systems-level thinking and experience building secure, scalable, service-oriented systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement <strong>OAuth 2.0</strong> authentication/authorization flows.</li><li>Integrate client’s platform with <strong>Auth0</strong> (Okta), including identity provider configuration.</li><li>Develop backend services using <strong>.NET (C#)</strong> and <strong>PHP</strong>.</li><li>Support microservices and distributed systems architecture efforts.</li><li>Model complex <strong>reseller / channel-partner</strong> ecosystems and access patterns.</li><li>Contribute to platform-wide security, API design, and hierarchical access models.</li><li>Assist in implementing white-label, multi-tier, and multi-tenant system features.</li><li>Collaborate with engineering leadership during an accelerated implementation window (Auth0 rollout through April 1).</li></ul>
<p>We are looking for an experienced Data Engineer to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. No 3rd parties please.</p><p><br></p><p> Responsibilities:</p><p> </p><p> • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p> • Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p> • Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p> • Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p> • Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p> • Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p><p> </p><p><br></p>
Position: Mobile Full-Stack Software Engineer | Strong backend skills big plus<br> Location: Remote<br> Salary: $150,000 - 173,000 base + bonus + exceptional benefits<br> <br> *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br> <br> Mobile Full Stack Software Engineer (Mid–Senior)<br> Greenfield. 0→1. High‑impact engineering.<br> A well-funded enterprise backed by a world‑class parent company is launching a brand‑new mobile‑first digital division after decades of brick‑and‑mortar success. This team is building a 0→1 product from scratch, with full executive level sponsorship. Early team members will shape architecture, culture, and direction.<br> <br> The Opportunity<br> Join a newly built, high-caliber engineering team responsible for delivering the first mobile MVP and scaling it across dozens of business lines. This is startup-style building with enterprise stability.<br> <br> What You’ll Do<br> • Build and iterate on a Flutter/Dart mobile application.<br> • Develop backend microservices using NestJS, Node.js, Postgres, and modern API patterns.<br> • Architect and scale systems in AWS.<br> • Work full-stack—but with strong emphasis on backend engineering excellence.<br> • Collaborate closely with product, design, and engineering leadership in an MVP-first environment.<br> <br> What We’re Prioritizing<br> All engineers must be full‑stack, but strong backend experience is a major differentiator.<br> You bring:<br> • 2+ years mobile development (Flutter/Dart preferred).<br> • Depth in backend engineering (NestJS, Node.js, Postgres, microservices).<br> • Experience in startups or 0→1 product development.<br> • Ability to move fast while applying scalable engineering practices.<br> Hiring both Mid-Level and Senior Engineers.<br> <br> Why Join<br> • Build a brand-new product before the first MVP release.<br> • Influence technical decisions and foundational architecture.<br> • Work with a small, elite team backed by secured funding and top-level leadership.<br> <br> <br> *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
