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312 results for Technical Engineer jobs

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

Washington, DC
onsite
Temporary / Contract
55 - 60 USD / Hourly
Data Engineer – Databricks / Azure / AI Analytics You must be able to obtain and maintain a public trust clearance, Position OverviewWe are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul>Cloud & Platform Integration<ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul>Data Management & Optimization<ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul>Platform Operations & Support<ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul>DevOps & Automation<ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
2026-06-02T00:00:00Z

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

West Chester, PA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies. Responsibilities: • Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making. • Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL. • Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems. • Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs. • Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency. • Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions. • Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption. • Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
2026-05-27T00:00:00Z

Data Engineer

Washington, DC
remote
Temporary / Contract
44 - 47 USD / Hourly
Data Automation Engineer – AI / AWS / AzureWork Arrangement: RemoteClearance Requirement: Ability to obtain Public Trust Position OverviewWe are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul>AI & Automation Engineering<ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul>Data Platform Integration & Optimization<ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul>Cloud & DevOps Practices<ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul>Collaboration & Delivery<ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
2026-06-11T00:00:00Z

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.
2026-06-04T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a skilled Data Engineer with strong experience in ETL development, Snowflake, and Python to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.Key Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within Snowflake</li><li>Develop reusable scripts and workflows using Python</li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul>
2026-06-08T00:00:00Z

Data Engineer

Charlotte, NC
onsite
Temporary / Contract
55 - 70 USD / Hourly
We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT pipelines and data integration processes</li><li>Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments</li><li>Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets</li><li>Work with large datasets across data warehouses, data lakes, and operational systems</li><li>Collaborate with business stakeholders, analysts, and development teams to gather requirements and deliver data solutions</li><li>Optimize SQL queries, database performance, and data processing workflows</li><li>Support data governance, quality, validation, and automation initiatives</li><li>Participate in data architecture, modernization, and migration projects</li></ul>
2026-05-26T00:00:00Z

Data Engineer

San Diego, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to help strengthen enterprise data capabilities and expand access to reliable information across the organization. This position focuses on building scalable data solutions that support analytics, reporting, and informed decision-making. Based in San Diego, California, the role works closely with both technical and business stakeholders to deliver dependable, high-quality data assets. Responsibilities: • Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets. • Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery. • Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs. • Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations. • Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions. • Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline. • Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform. • Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate.
2026-06-04T00:00:00Z

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-08T00:00:00Z

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

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
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. Key Responsibilities:<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>
2026-05-26T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary / Contract
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-06-09T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
75 - 90 USD / Hourly
Robert Half is seeking a Contract Data Engineer 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. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-06-02T00:00:00Z

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
We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.Key Responsibilities:<ul><li>Build and maintain ETL/ELT pipelines using Azure Data Factory</li><li>Develop data solutions in Azure Databricks (PySpark / Spark)</li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul>
2026-05-26T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
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. Key Responsibilities:<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>
2026-05-26T00:00:00Z

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

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

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing and distribution company is looking for a Data Engineer with 3 + years of experience 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. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practice
2026-06-03T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment. Responsibilities: • Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI. • Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments. • Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions. • Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization. • Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices. • Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth. • Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions. • Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business. • Administer BI platforms to maintain performance, reliability, and appropriate security controls. • Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
2026-05-11T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-06-11T00:00:00Z

Data Engineer

New York, NY
onsite
Temporary / Contract
75 - 75 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions. Responsibilities: • Design, develop, and maintain data pipelines to support efficient data integration and processing. • Implement and manage Snowflake-based data repositories to centralize and secure organizational data. • Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy. • Develop ETL processes to extract, transform, and load data from various sources into centralized systems. • Collaborate with stakeholders to define data requirements and optimize system performance. • Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions. • Monitor and troubleshoot data systems to ensure reliability and address any issues promptly. • Deploy advanced analytics and AI models to drive operational efficiencies. • Document processes and provide technical support to ensure smooth implementation and usage of data systems.
2026-06-11T00:00:00Z

Desktop Engineer- Executive Support

Miami Beach, FL
onsite
Temporary / Contract
35 - 45 USD / Hourly
Our company is seeking a highly skilled Desktop Support Engineer specializing in executive support to provide white-glove IT assistance to our CEO. This is a high-visibility, hands-on role responsible for delivering responsive, discreet, and proactive technology support. Responsibilities:<ul><li>Serve as the primary point of contact for desktop, laptop, mobile, and peripheral support for the CEO.</li><li>Deliver rapid troubleshooting and root-cause resolution for hardware, software, and connectivity issues in office, home, and remote environments.</li><li>Proactively maintain, update, and optimize IT equipment, ensuring a seamless executive user experience.</li><li>Support VIP meetings, video/web conferencing, and high-priority presentations, including setup and technical assistance.</li><li>Troubleshoot issues related to productivity suites (e.g., Microsoft 365, Google Workspace), collaboration tools, and custom applications.</li><li>Coordinate with IT leadership, vendors, and third-party services for escalations and complex incidents.</li><li>Maintain strict confidentiality and professionalism when handling sensitive executive information.</li><li>Document configurations, procedures, and support activity for continuous improvement.</li></ul>
2026-06-09T00:00:00Z

Product Architect

Atlanta, GA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for an experienced Product Architect who will be responsible for the operational ownership and continuous improvement of enterprise Pricing and Promotions solutions. This includes contributing to product roadmap planning, driving innovation initiatives, writing and refining user stories, guiding solution design and development, supporting deployment activities, and assisting with ongoing user support and value optimization efforts.The Product Architect works within an agile delivery environment alongside internal team members and external partners, collaborating closely with cross-functional product, business, and technology teams across multiple regions. Key Responsibilities<ul><li>Provide functional and technical expertise related to enterprise Pricing and Promotions platforms to business and technology stakeholders.</li><li>Participate in pricing and rebate initiatives from concept through implementation and value realization, partnering with vendors, implementation teams, and internal stakeholders.</li><li>Execute backlog items as prioritized by leadership, including features, user stories, incidents, change requests, and value optimization initiatives.</li><li>Develop user stories, cost estimates, solution designs, training materials, and system documentation.</li><li>Support development, configuration, testing, deployment, and post-go-live activities.</li><li>Assist with change management, support tickets, automated test case development, and ongoing product enhancements.</li><li>Collaborate with other product and technology teams based on evolving priorities.</li><li>Follow Agile and SDLC practices to ensure consistent and transparent execution across product areas.</li><li>Ensure solutions comply with enterprise architecture standards, security requirements, and modern data/analytics practices.</li><li>Track product performance and support value realization efforts.</li><li>Ensure product-related SLAs and operational metrics are achieved.</li><li>Work closely with cross-functional teams to deliver scalable, maintainable Pricing & Promotions solutions.</li></ul>
2026-05-20T00:00:00Z

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