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154 results for Big Data Engineer jobs

Data Scientist: III

Columbus, OH
onsite
Temporary / Contract
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-05-08T00:00:00Z

Sr. Data Engineer

Las Vegas, NV
onsite
Permanent / Full Time
120000 - 125000 USD / Yearly
We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration. The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms. Key Responsibilities Design, build, and maintain data pipelines within Google Cloud Platform (GCP) Develop event-driven data streaming solutions using Pub/Sub Build and maintain Python-based services using Cloud Run Develop and optimize BigQuery datasets and queries Integrate new data sources into the enterprise data platform Maintain and support existing ETL processes within SQL Server Work with SSIS and stored procedures in legacy data environments Monitor, troubleshoot, and optimize data pipeline performance Collaborate with engineering teams to support data-driven initiatives Participate in on-call rotations for production systems Required Qualifications 5+ years of experience in Data Engineering Strong experience with Google Cloud Platform (GCP) Experience building data pipelines and ETL processes Experience with Pub/Sub or event-driven data streaming Strong experience with BigQuery Proficiency in Python Experience with Cloud Run or similar serverless services Strong SQL experience including SQL Server Experience with SSIS or similar ETL tools
2026-04-15T00:00:00Z

Business Analytics/Data Analyst

Memphis, TN
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support complex data analysis initiatives in Memphis, Tennessee. This Long-term Contract position is ideal for someone who brings strong experience with large-scale data environments, advanced SAP knowledge, and a sharp ability to uncover root causes across interconnected systems. The person in this role will translate complex data relationships into clear insights, support business decision-making, and improve reporting and analytical capabilities through hands-on investigation and optimization. Responsibilities: • Develop, validate, and maintain enhancements within Celonis to improve analytical performance and business visibility. • Investigate urgent and ad hoc data questions by tracing information across SAP Ariba, Fieldglass, and downstream reporting or accounting processes. • Examine complex SAP master data relationships, including layered and interdependent data structures, to identify inconsistencies and business impact. • Work independently to diagnose end-to-end data issues, determine root causes, and clearly communicate findings to stakeholders. • Perform impact assessments related to proposed threshold adjustments and provide data-backed recommendations. • Produce comparative analysis of SAP-related performance metrics, including before-and-after evaluations and trend reporting. • Partner with business and technical teams to clarify reporting needs and ensure analytical outputs align with operational goals. • Interpret data from multiple enterprise platforms to support decision-making, process visibility, and continuous improvement efforts.
2026-05-08T00:00:00Z

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.
2026-05-06T00:00:00Z

Data/Information Architect

San Antonio, TX
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for an experienced Data/Information Architect to join an engagement based onsite in San Antonio, Texas. In this role, you will lead the design of a modern Power BI reporting environment and help replace fragmented legacy reporting methods with a scalable, well-governed analytics solution. This position is ideal for someone who combines hands-on technical depth with strong stakeholder partnership and a practical approach to enterprise reporting strategy. Responsibilities:• Evaluate existing reporting tools, dashboards, databases, spreadsheets, and query-based outputs to understand the current analytics landscape and identify improvement opportunities.• Work with business partners to capture reporting needs, key metrics, usage trends, and priorities that will shape the target-state solution.• Define the overall Power BI architecture, including dataset strategy, semantic model structure, environment setup, and deployment approach.• Build efficient data models and reusable calculations that support scalable reporting, strong usability, and consistent business logic.• Integrate data from multiple enterprise and file-based sources while replacing manual transformation steps with streamlined Power Query processes.• Redevelop high-priority legacy reports in Power BI, improving performance, usability, and governance while reducing reliance on spreadsheets and standalone databases.• Apply security, access controls, and governance standards across datasets, reports, and workspaces to support compliance and clear ownership.• Tune model performance, refresh behavior, and query efficiency to ensure reliable reporting for business-critical use cases.• Produce clear technical documentation and provide knowledge transfer to internal teams, including recommendations for future enhancements after the engagement ends
2026-05-04T00:00:00Z

IT Data Analyst

Grand Rapids, MI
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions. Responsibilities: • Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders. • Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction. • Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs. • Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities. • Investigate system-related issues through root cause analysis and present recommendations backed by data findings. • Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments. • Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making. • Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
2026-05-07T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary / Contract
53 - 58 USD / Hourly
Data Scientist III (Senior)Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job SummaryA leading financial services organization is seeking a skilled and data‑driven Senior Data Scientist to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
2026-05-05T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-04-30T00:00:00Z

Master Data Analyst

Erlanger, KY
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Master Data Analyst to support technical data quality and material information management for R&D, quality, and operational teams in Cincinnati, Ohio or Rockford, Illinois. This Long-term Contract position focuses on maintaining reliable raw material and packaging data that helps drive product development, supplier readiness, and manufacturing execution. The role calls for a highly organized, detail-oriented individual who can work across multiple functions, improve data consistency, and ensure critical system records remain accurate and complete. This is a HYBRID role - remote consultants will not be considered. Consumer Product Goods industry experience is highly desired! Responsibilities:• Manage the collection, review, and entry of raw material and packaging specifications into approved specification and data management systems.• Verify that technical records are complete, accurate, and aligned with internal standards, regulatory expectations, and operational needs.• Improve consistency across systems by applying standardized naming structures, formatting rules, and data governance practices.• Investigate missing, outdated, or conflicting material information and resolve issues in partnership with cross-functional stakeholders.• Maintain material master data and support correct relationships between specifications, item records, and related system information in SAP-based environments.• Create, revise, and validate bills of materials to match approved specifications and current production requirements.• Support data activities tied to new product development, supplier updates, and ongoing process improvement initiatives.• Coordinate with Master Data, Procurement, Packaging, Quality, and Operations teams to ensure information supports real manufacturing and planning requirements.• Track assigned project deliverables, maintain supporting documentation, and contribute to process standardization efforts across technical data workflows.
2026-05-07T00:00:00Z

Sr. AWS Data Engineer

Torrance, CA
onsite
Temporary / Contract
60 - 62 USD / Hourly
Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment. This role is onsite 4 days/week in Torrance, CA. This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements. Key Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
2026-05-08T00:00:00Z

Director of Data Science

Saint Charles, MO
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for a dynamic Director of Data Science to join our team on a contract to hire basis in Saint Charles, Missouri. This is a unique opportunity to lead data governance initiatives, transform data into a strategic asset, and drive organizational impact within the education sector. The ideal candidate will thrive in a collaborative environment, working across departments to establish robust data frameworks and ensure compliance with industry standards. Responsibilities:<ul><li>Develop and implement a comprehensive data governance strategy aligned with organizational goals, AI readiness, and regulatory requirements.</li><li>Establish data governance frameworks, policies, and standards to ensure data integrity, access, and compliance.</li><li>Lead cross-functional teams to drive data stewardship, data quality initiatives, and data lifecycle management.</li><li>Select and implement data governance tools and platforms (e.g., data cataloging, stewardship, lineage).</li><li>Define and operationalize data stewardship models across the university.</li><li>Oversee data quality initiatives, including monitoring, remediation, and reporting.</li><li>Develop and enforce data quality KPIs and dashboards to track progress and impact.</li><li>Facilitate training and awareness programs on data governance best practices across the organization.</li><li>Collaborate with IT, legal, and compliance teams to ensure data governance aligns with technological and regulatory landscapes.</li><li>Measure and report on data governance effectiveness and drive continuous improvement initiatives.</li><li>Serve as a trusted advisor to executive leadership on data governance and management issues.</li></ul>
2026-05-06T00:00:00Z

Business Intelligence (BI) Engineer

Houston, TX
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Business Intelligence (BI) Engineer to join a growing team in the Energy/Natural Resources sector. This contract opportunity with potential for a permanent role is ideal for someone who can turn complex business data into clear, actionable reporting and dashboard solutions. The position will focus on building reliable business intelligence assets, partnering with stakeholders to understand reporting needs, and delivering insights through Microsoft Power BI and related BI technologies. Responsibilities: • Design and develop interactive dashboards, visual reports, and data models that support operational and strategic decision-making. • Work closely with business partners to gather reporting objectives, translate requirements into technical solutions, and deliver meaningful analytics. • Build, optimize, and maintain Power BI datasets, reports, and dashboards to ensure accuracy, usability, and performance. • Create calculated measures and logic using DAX to support advanced reporting needs and data interpretation. • Validate data from multiple sources, troubleshoot reporting issues, and resolve inconsistencies to maintain dependable business intelligence outputs. • Improve reporting processes by identifying opportunities to streamline workflows, enhance data visibility, and strengthen analytics capabilities. • Document BI solutions, reporting standards, and technical design details to support ongoing maintenance and knowledge sharing. • Support evolving business intelligence initiatives, including changes to reporting environments or related systems, as needed.
2026-05-08T00:00:00Z

Data Analyst I

North Reading, MA
onsite
Temporary / Contract
35 - 41.3 USD / Hourly
Job SummaryA large, well‑known technology organization is seeking a Data Analyst I to support an engineering and operations team focused on hardware systems and large‑scale deployment programs. This role supports data analysis, reporting, and cross‑functional decision‑making in a fast‑paced environment.Key Responsibilities<ul><li>Analyze operational, engineering, and process data to support program execution and decision‑making</li><li>Build and maintain reports, dashboards, and data summaries for stakeholders</li><li>Partner with engineering, supply chain, and operations teams to validate data accuracy</li><li>Support tracking of metrics, trends, and performance indicators</li><li>Assist with documentation, data audits, and ad‑hoc analysis requests</li><li>Ensure data consistency across systems and reporting tools</li></ul>
2026-05-08T00:00:00Z

Data Analyst I

Austin, TX
onsite
Temporary / Contract
30 - 35 USD / Hourly
Position OverviewWe are seeking a Data Analyst I to join a fast-paced retail grocery business team supporting specialty food categories such as dairy, specialty cheese, fresh pasta, dips, and charcuterie. This role is ideal for someone early in their career who is passionate about data, business insights, and the food industry, and who thrives in a collaborative, high-visibility environment.The analyst will be responsible for supporting reporting, data analysis, and business decision-making processes while partnering closely with internal stakeholders and vendors.WKey Responsibilities<ul><li>Perform data analysis and generate insights to support business decisions across specialty grocery categories</li><li>Build and maintain reports, dashboards, and presentation decks for leadership and cross-functional teams</li><li>Support vendor meetings through data preparation, reporting, and insights</li><li>Translate data into clear business narratives and actionable recommendations</li><li>Assist in identifying trends, prioritization opportunities, and process improvements</li><li>Collaborate with internal teams on ongoing reporting and operational initiatives</li></ul>
2026-05-08T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-04-22T00:00:00Z

DevOps Engineer

Shawnee Mission, KS
onsite
Permanent / Full Time
122000 - 178000 USD / Yearly
We are looking for a DevOps Engineer to support the design, automation, and maintenance of cloud-based environments in Lenexa, Kansas. This role focuses on improving deployment reliability, strengthening infrastructure as code practices, and enhancing CI/CD workflows across development and operations teams. The ideal candidate brings hands-on experience with AWS, Terraform or CloudFormation, and pipeline automation tools to help deliver secure and scalable solutions. Responsibilities: • Build, configure, and maintain AWS infrastructure to support secure, scalable, and highly available applications. • Create and manage infrastructure as code using Terraform or CloudFormation to standardize provisioning and reduce manual effort. • Develop, enhance, and troubleshoot CI/CD pipelines in Jenkins, including declarative pipeline scripting with Groovy. • Administer source control workflows in Bitbucket and support automated build and deployment processes. • Manage and optimize AWS managed services such as Lambda, S3, and other platform components used by the application environment. • Partner with engineering and security teams to improve system performance, deployment consistency, and operational resilience. • Support identity and access management activities, including IAM provisioning and authentication-related service administration. • Assist with database, messaging, and related platform integrations required for reliable application delivery.
2026-05-05T00:00:00Z

DevOps Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
DevOps EngineerWe are seeking a motivated DevOps Engineer to enhance automation, streamline deployments, and support modern cloud-native infrastructure. This role is ideal for someone who enjoys improving system reliability, optimizing pipelines, and enabling faster development workflows.Responsibilities<ul><li>Build, maintain, and optimize CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins</li><li>Support containerized environments using Docker and Kubernetes</li><li>Manage infrastructure automation using Terraform, Helm, Ansible, or Bicep</li><li>Monitor application performance, system uptime, and deployment health</li><li>Troubleshoot build failures, pipeline issues, infrastructure drift, and deployment errors</li><li>Manage configuration management across multiple environments</li><li>Collaborate with developers and cloud engineers during releases and application migrations</li><li>Implement logging, monitoring, and alerting solutions</li><li>Maintain documentation for deployments, pipelines, and CI/CD procedures</li></ul>
2026-04-23T00:00:00Z

DevOps Engineer

Portland, ME
onsite
Permanent / Full Time
0 - 0 USD / Yearly
DevOps EngineerWe’re looking for a DevOps Engineer who enjoys automating all the things and making the software development lifecycle run smoother, faster, and with fewer “why is this broken?” moments. You’ll support and improve CI/CD pipelines, development environments, and SDLC tooling across IT and Engineering. What You’ll Do<ul><li>Build, improve, and maintain CI/CD pipelines and DevOps tooling</li><li>Collaborate with IT and Engineering to streamline SDLC processes (less friction, more shipping)</li><li>Administer development environments, automation, and build tools</li><li>Create clear documentation and training materials so others don’t have to guess</li></ul>What You Bring<ul><li>Hands-on experience designing and supporting CI/CD systems</li><li>Familiarity with tools like Git, containers, infrastructure-as-code, build, and test frameworks</li><li>Strong communication skills (you can explain complex things without heavy sighing)</li><li>Ability to work independently, learn quickly, and keep things running smoothly</li></ul>Education & Experience<ul><li>Bachelor’s degree in Computer Science, Software Engineering, or similar</li><li>4+ years in DevOps, software engineering, or related roles</li><li>2+ years rolling out CI/CD pipelines in real-world environments</li></ul>
2026-04-13T00:00:00Z

DevOps Engineer

Eden Prairie, MN
remote
Permanent / Full Time
140000 - 160000 USD / Yearly
Position: DevOps Engineer (Mobile-First)Location: Remote - Full Time | Direct HireSalary: $140,000 - 160,000 base annual salary + bonus + excellent benefits*** 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. ***DevOps EngineerWe’re building something entirely new—and we’re doing it the right way.This is a rare opportunity to join a brand-new digital transformation team inside a well‑established, financially strong enterprise. After decades of success with a traditional operating model, the organization is launching a remote‑first, mobile‑first digital platform designed to unify multiple services into a seamless consumer experience.The product is 0→1, greenfield, and pre‑launch, with executive sponsorship and long‑term funding already secured. The pace, ownership, and innovation feel like a startup—without startup risk.Why This Role Is Exciting• Startup‑like environment inside a proven, stable enterprise• New digital department with new leadership, tooling, and architecture• True greenfield DevOps work—no legacy rebuilds• Direct impact on a high‑visibility, consumer‑facing platformWhat You’ll Work On• Design, build, and support cloud infrastructure for a mobile‑first platform• Build and maintain CI/CD pipelines for modern microservices• Support containerized workloads using Docker and Kubernetes• Implement Infrastructure as Code (IaC) for consistent environments• Improve deployment reliability, scalability, and developer experienceTechnical Environment• Cloud: AWS (primary for the digital platform), cloud‑flexible architecture• Containers: Docker, Kubernetes• CI/CD: GitHub Actions, Jenkins• IaC: Terraform, CloudFormation• Observability: Prometheus, Grafana, CloudWatch, Datadog / ELK• Security: IAM, RBAC, secrets management• Scripting: Python, Bash• Application Context: Flutter (web,mobile), NestJS, Postgres, APIWhat We’re Looking For• 3–6 years of experience in DevOps, Cloud Engineering, or SRE• Hands‑on AWS infrastructure experience• Working knowledge of Kubernetes and containerized systems• Experience building or supporting CI/CD pipelines• Familiarity with Infrastructure as Code• Strong collaboration skills and an ownership mindset• Comfortable operating in ambiguity and building from scratchWhat Success Looks Like• Faster, safer deployments enabled by your automation• Scalable, observable, and secure environments• DevOps seen as a partner—not a bottleneck *** 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. ***
2026-04-14T00:00:00Z

DevOps Engineer

Saint Louis, MO
onsite
Temporary / Contract
60 - 88 USD / Hourly
Our company is seeking a skilled and collaborative DevOps Engineer to join our technology team in St. Louis, MO. This role offers the opportunity to drive automation, streamline workflows, and optimize infrastructure for high-performance applications. Key Responsibilities:Design, deploy, and manage CI/CD pipelines to support agile development practicesAutomate infrastructure provisioning, monitoring, and scaling in cloud or hybrid environmentsCollaborate with development and IT teams to implement DevOps best practicesTroubleshoot and resolve issues in development, test, and production environmentsStay current with emerging DevOps technologies, tools, and methodologies
2026-05-04T00:00:00Z

Cloud Engineer

Margate, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The DevOps Engineer will design, build, and maintain secure, scalable, and highly available cloud infrastructure while accelerating delivery of features through automation, CI/CD, and observability. You’ll be a force multiplier for engineering teams, ensuring systems are fast, resilient, and easy to operate. Key Responsibilities:<ul><li>Build, expand, and optimize cloud infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (Terraform, Pulumi, CloudFormation, CDK)</li><li>Design and implement CI/CD pipelines that enable multiple daily deployments with zero downtime (GitHub Actions, GitLab CI, ArgoCD, Jenkins, CircleCI)</li><li>Automate everything: configuration management (Ansible, Chef, Puppet), application deployments, self-healing systems, and security hardening</li><li>Own production reliability: monitoring, alerting, log management, and on-call response (Datadog, Prometheus+Grafana, New Relic, PagerDuty, Opsgenie)</li><li>Drive progressive delivery practices: blue-green, canary, feature flags, and rollback strategies</li><li>Perform capacity planning, cost optimization, and performance tuning across compute, storage, and networking</li><li>Collaborate in project planning to evaluate technical feasibility, risks, and delivery trade-offs</li><li>Harden systems and pipelines for security and compliance (IAM, Vault, Trivy, Snyk, OPA/Gatekeeper)</li><li>Document architectures, runbooks, and processes while mentoring engineers on DevOps best practices</li></ul>
2026-04-30T00:00:00Z

Cloud Engineer

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Senior Cloud EngineerLocation: Brickell, Miami, FLWork Model: Hybrid – 3 days onsite per weekRole OverviewThe Senior Cloud Engineer designs, implements, and supports scalable, secure, and highly available cloud infrastructure. This role partners closely with Architecture, Security, DevOps, and Application teams to deliver modern cloud solutions while ensuring reliability, performance, and cost efficiency. The ideal candidate brings deep hands‑on cloud experience and strong problem‑solving skills in production environments.Key Responsibilities<ul><li>Design, build, and maintain cloud infrastructure using best practices for security, scalability, and resiliency</li><li>Lead deployment and optimization of cloud services across compute, storage, networking, and identity</li><li>Implement and manage infrastructure as code (IaC) using tools such as Terraform, ARM, or CloudFormation</li><li>Support CI/CD pipelines and DevOps workflows in collaboration with engineering teams</li><li>Monitor cloud environments, troubleshoot performance issues, and ensure high availability</li><li>Partner with Information Security to implement identity, access management, logging, and compliance controls</li><li>Optimize cloud costs through capacity planning, automation, and usage analysis</li><li>Support cloud migrations from on‑premises or legacy environments</li><li>Create and maintain technical documentation, runbooks, and architectural diagrams</li><li>Mentor junior engineers and provide technical leadership on cloud initiatives</li></ul>
2026-04-30T00:00:00Z

Cloud Engineer

Bethesda, MD
onsite
Temporary / Contract
60 - 110 USD / Hourly
We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.Responsibilities<ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul>
2026-04-10T00:00:00Z

Cloud Engineer

Baltimore, MD
onsite
Temporary / Contract
60 - 110 USD / Hourly
We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.Responsibilities<ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul>
2026-04-10T00:00:00Z

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