Requirements engineer jobs in Boston, MA

Cloud Platform Engineer | Aerospace | $210k + Bonus | Boston, MA Role: Cloud Platform Engineer Base: $160,000 - $210,000 DOE An industry leading aerospace company is seeking a Cloud Platform Engineer to join its Boston-based engineering team. This role is ideal for someone passionate about building scalable cloud-native infrastructure and enabling mission-critical applications in a high-performance environment. What You'll Do Design, build, and maintain cloud infrastructure primarily on AWS Develop and deploy applications using Kubernetes, with a focus on reliability and scalability Implement Infrastructure as Code (IaC) using Terraform Build observability and monitoring systems using Grafana and related tools Collaborate with software engineers and data scientists to support deployment pipelines and cloud architecture What We're Looking For Strong experience with AWS services and architecture Deep understanding of Kubernetes and container orchestration Hands-on experience with Terraform for infrastructure automation Familiarity with Grafana, Prometheus, or similar monitoring stacks Solid programming/scripting skills (Python, Go, or Bash preferred) Experience in high-availability, distributed systems is a plus Why Join? Competitive compensation of up to $210K base Work on cutting-edge aerospace and AI technologies Hybrid work environment with a Boston office hub Collaborative, mission-driven team culture

Cloud Engineer | Hybrid, Devens, MA | $130,000 - $145,000 + Benefits A well-established firm in Devens, MA is seeking a skilled and experienced Cloud Engineer to join its growing IT team. With over 100 years in business and a strong reputation in their sector, the company offers a collaborative, community-focused environment with a commitment to innovation and long-term growth. Why This Role Stands Out: Join a close-knit IT team and serve as the go-to expert for cloud infrastructure Work directly with leadership to shape the company's Azure strategy Be part of a business expanding into new locations and investing in technology Enjoy a family-friendly culture with strong values and a relaxed office environment Access to professional development, certifications, and regular company events Key Responsibilities: Design, implement, and maintain hybrid cloud infrastructure (Azure + Active Directory) Lead networking, firewall, and security configurations across cloud environments Manage virtual machines, storage, SSO, conditional access, and enterprise applications Implement MDR/XDR antivirus solutions and support security audits Collaborate with cross-functional teams to troubleshoot and optimize systems Stay current on cloud trends and make recommendations for continuous improvement Required Skills and Experience 10+ years in IT, with a strong focus on cloud engineering Deep expertise in Microsoft Azure technologies Solid understanding of networking, firewalls, and Windows environments Experience with MDR/XDR cybersecurity tools Strong documentation and collaboration skills Relevant certifications (e.g., Azure Solutions Architect, AWS Solutions Architect) preferred Compensation & Benefits: $130,000 - $145,000 base salary Full medical, dental, and vision coverage (Blue Cross) 401(k) with company match and profit sharing after 1 year One remote day per week (4 days on-site) Supportive culture with a focus on work-life balance and community engagement The company is actively interviewing and looking to make a hire soon. To secure an interview slot, send in an application, drop me a message, or forward your resume to the contact below. 📧 *****************************

Data Engineer (HR Data Systems) Boston, MA 3-4 days onsite a week Pay Rate: $105/Hr Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an organization

📣 Platform Engineer - Travel SaaS A fast-scaling SaaS company in the travel tech space is hiring a Platform Engineer to help build and scale their global infrastructure. This is a high-impact role in a product-led, engineering-driven environment. The company operates a modern, multi-service architecture on AWS and needs someone who can take ownership of platform reliability, CI/CD tooling, and infrastructure as code. 💻 The role: Design, build and maintain secure, scalable AWS infrastructure (EC2, S3, RDS, IAM, etc.) Champion Infrastructure as Code using Terraform or Pulumi Manage containerised deployments with Docker and ECS or Kubernetes Improve and maintain CI/CD pipelines (GitHub Actions, CircleCI, etc.) Collaborate closely with engineering, SRE and security teams Take part in on-call and incident response as part of a “you build it, you run it” culture 🧠 What they're looking for: 3+ years' hands-on experience with AWS Strong background in infrastructure as code Solid understanding of containerisation and orchestration Comfortable with scripting (Python, Go or Bash) Experience with observability tools (Datadog, CloudWatch, etc.) Excellent debugging and troubleshooting skills 🎁 Nice-to-haves: Exposure to Windows/.NET, serverless architectures or compliance frameworks (e.g. SOC2) 🌍 Why join: Compensation: $130-150K base + equity Culture: Low-ego, high-ownership team with a strong engineering voice Hybrid setup: ~3 days per week in office in Boston Mission: Helping businesses travel smarter - at global scale

Role: Join AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers, and Data Engineers, you'll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You'll focus on building secure, scalable, and high-performance AI agents using modern technologies, including AWS Bedrock and Databricks - shaping the backbone of clients' “Construction Site of the Future.” The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You'll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed. Responsibilities: AI Product Engineering & Deployment: Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks. Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search. Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency. Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows. Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance. Full-Stack & Backend Development: Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs. Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.). Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints. Data Engineering & Integration: Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse. Ensure efficient data access, caching, and vectorization for low-latency AI response. Build tools to monitor and improve data quality, latency, and observability. DevOps & Platform Automation: Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments. Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning. Enforce security, governance, and access standards in line with enterprise policies. Collaboration & Communication: Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints. Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates. Qualifications: 4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases. Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS. Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions Experience training, retraining and performing transfer learning on ML models desirable. Bachelor's in Computer Science, Engineering, Physics, or a related field; Master's preferred. Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus. Excellent collaboration and communication skills - able to work cross-functionally but not dependent on business-side facilitation. Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.

We're looking for a Senior DevOps Tools Engineer to help modernize and elevate our development ecosystem. If you're passionate about improving how software teams build, test, secure, and deliver high-quality code-this role is built for you. This is not a traditional infrastructure-heavy DevOps role. It's a developer-enablement, tooling modernization, and process transformation position with real influence. 🔧 Role Overview You will lead initiatives that reshape how engineering teams work-modernizing tooling, redesigning source control practices, improving CI/CD workflows, and championing DevEx across the organization. This role combines hands-on engineering with strategic process design. ⭐ Key Responsibilities Drive modernization of development tools and processes, including SVN → Git migration and workflow redesign. Own and enhance CI/CD pipelines to improve reliability, automation, and performance. Implement modern DevOps + DevSecOps practices (SAST, DAST, code scanning, dependency checks, etc.). Automate build, packaging, testing, and release processes. Advocate for and improve Developer Experience (DevEx) by reducing friction and enabling efficiency. Collaborate across engineering teams to define standards for source control, branching, packaging, and release workflows. Guide teams through modernization initiatives and influence technical direction. 🎯 Must-Have Qualifications Strong experience with CI/CD pipelines, developer tooling, and automation. Hands-on expertise with Git + Git-based platforms (GitLab, GitHub, Bitbucket). Experience modernizing tooling or migrating from legacy systems (SVN → Git is a big plus). Solid understanding of DevOps / DevSecOps workflows: automation, builds, packaging, security integration. Proficient in scripting/programming for automation (Python, Bash, PowerShell, Groovy, etc.). Excellent communication skills and ability to guide teams through change. 🏙️ Work Model This is a full-time, hybrid role based in Boston, MA. Onsite participation is required. 📩 When Applying Please include: Updated resume Expected Salary Notice period (30 days or less) A good time for a quick introductory call If you're excited about modernizing engineering ecosystems, improving developer experience, and driving organization-wide transformation, we'd love to connect.

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

hackajob has partnered with Simply Business in its digital solutions and leverages extensive industry data to drive impactful results. Role: Data Analyst / Analytics Engineer Mission: You'll be part of the global Data and Analytics (DNA) team at Simply Business, helping drive data-driven decision making across the organization. Your mission will be to provide high-impact analytical support to business stakeholders, measure and evaluate product value streams, and ensure product investments deliver maximum value. As a trusted advisor, you'll translate business needs into actionable insights that improve operational efficiency and customer conversion. Location: US-based (Hybrid / details 8 days/month) Salary: Up to 99K USD Work authorization: This role requires you to be authorized to work in the United States without sponsorship. Qualifications (3+ years of experience): Experience in data & analytics, with a preference for operational analytics Experience working with cloud data warehouses (Snowflake or similar) Strong SQL skills and experience designing data models (dbt is a plus) Experience integrating new data sources and working with ETL pipelines Strong data visualization and storytelling skills using BI tools such as Looker, Tableau, or Power BI Ability to partner with product, engineering, and business teams to translate use cases into analytical solutions Excellent communication skills, especially when presenting insights to non-technical stakeholders Comfortable working as a self-starter in a globally distributed team Benefits: Opportunity to work on strategic, high-impact analytics initiatives Exposure to global stakeholders across product, engineering, and business teams Ongoing investment in modern data platforms and BI capabilities Career growth within a mature and expanding Data & Analytics function About hackajob: hackajob is a recruitment platform that matches you with relevant roles based on your preferences. To be matched with roles like this one, you'll need to create an account with us. This role requires you to be based in the US.

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Engineer (HR Data warehousing exp) Boston, MA (3-4 days onsite a week) Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization Preferred Experience & Skills: Experience in developing and supporting a data warehouse serving the HR domain Experience with data platforms where SCD Type 2 was required Experience with data visualization tools such as Tableau Experience with architecting or working with ELT technologies (such as DBT) and data architectures Understanding of HR processes, compliance requirements, and industry best practices Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

first PRO is now accepting resumes for a Senior Data Engineer role in Boston, MA. This is a direct hire role and onsite 2-3 days per week. RESPONSIBILITIES INCLUDE Support and enhance the firm's Data Governance, BI platforms, and data stores. Administer and extend data governance tools including Atlan, Monte Carlo, Snowflake, and Power BI. Develop production-quality code and data solutions supporting key business initiatives. Conduct architecture and code reviews to ensure security, scalability, and quality across deliverables. Collaborate with the cloud migration, information security, and business analysis teams to design and deploy new applications and migrate existing systems to the cloud. TECHNOLOGY EXPERIENCE Hands-on experience supporting SaaS, business-facing applications. Expertise in Python for data processing, automation, and production-grade development. Strong knowledge of SQL, data modeling, and data warehouse design (Kimball/star schema preferred). Experience with Power BI or similar BI/reporting tools. Familiarity with data pipeline technologies and orchestration tools (e.g., Airflow, dbt). Experience with Snowflake, Redshift, BigQuery, or Athena. Understanding of data governance, data quality, and metadata management frameworks. QUALIFICATIONSBS or MS in Computer Science, Engineering, or a related technical field. 7+ years of professional software or data engineering experience. Strong foundation in software design and architectural patterns.

Job Description - AWS Networking / AWS DevOps Engineer Type: Hybrid (3 to 4 days based on client request and project demand) Role: AWS Cloud Networking Engineer/DevOps We are seeking an experienced Networking-focused AWS DevOps Engineer to support and optimize our multi-region cloud infrastructure. The ideal candidate will have strong expertise across AWS networking, multi-region architectures, CI/CD, container orchestration, infrastructure automation, and data platform components such as Redshift. This role is part-time but requires a hands-on engineer who can troubleshoot, optimize, and enhance our production and non-production cloud environments. Key Responsibilities AWS Multi-Region Architecture & Networking • Design, implement, and optimize multi-region VPC architectures, peering, Transit Gateway, and routing policies. • Configure and manage security groups, NACLs, route tables, NAT gateways, IGWs, and cross-region networking. • Ensure high availability (HA) and disaster recovery (DR) readiness across multiple AWS regions. • Support network connectivity for hybrid environments (VPN, Direct Connect). AWS DevOps & Automation • Develop and maintain CI/CD pipelines using CodePipeline, CodeBuild, GitHub Actions, GitLab, or Jenkins. • Automate infrastructure provisioning using Terraform, CloudFormation, or CDK. • Implement and optimize monitoring, logging, and alerting via CloudWatch, OpenSearch, Prometheus/Grafana, or equivalent. • Drive continuous improvements in deployment reliability and DevOps best practices. Compute & Container Services • Manage and optimize EC2 instances including AMIs, autoscaling, patching, and configurations. • Deploy, scale, and troubleshoot workloads on ECS (Fargate or EC2). • Implement workload security, resource optimization, and cost controls across compute services. Redshift & Data Infrastructure Support • Support Redshift cluster configuration, security, WLM settings, performance optimization, and connectivity. • Ensure secure and optimized data flows between ETL layers, Redshift, EC2/ECS services, and S3. • Collaborate with data teams to tune Redshift workloads and ensure optimal network performance. Security & Compliance • Enable IAM policies, role-based access, and least-privilege security controls. • Implement multi-region failover, backup/restore strategies, and environment hardening. • Ensure compliance with security best practices, patching, encryption, and CloudTrail logging. Operations, Troubleshooting & Support • Troubleshoot multi-region connectivity, latency, DNS, and infrastructure issues. • Optimize cloud spend across compute, networking, and Redshift workloads. • Provide on-call / ad-hoc support during deployments or critical incidents (as needed). Required Skills & Experience Technical Skills • 10+ years of experience as a DevOps, Cloud Engineer, or AWS Infrastructure Engineer. • Strong AWS networking expertise: VPC, TGW, Route53, VPN, Direct Connect, SGs, NACLs. • Experience with multi-region, HA, DR architectures. • Proficient in EC2, ECS (Fargate/EC2 Launch Types), Redshift. • Strong Terraform / CloudFormation scripting experience. • Strong experience with Python or Bash for automation. • Hands-on experience setting up CI/CD pipelines. • Experience with monitoring/observability tools: CloudWatch, OpenSearch, Grafana/Prometheus, Datadog, etc. • Familiarity with cloud cost optimization and tagging strategies.

The Alexander Technology Group is looking for a junior devops engineer for a client in the Woburn, MA area. Hybrid on-site No 3rd party applicants will be considered, do not reach out 85-90k Requirements: Key Responsibilities: Support Cloud Infrastructure: Assist in managing AWS infrastructure including VPCs, ECS/EKS clusters, RDS databases, and serverless components under the guidance of senior engineers. Maintain CI/CD Pipelines: Help maintain and improve deployment pipelines using GitLab CI or GitHub Actions, ensuring smooth software delivery. Monitor System Health: Set up and monitor alerting systems using CloudWatch, Grafana, or Prometheus, and respond to incidents with support from the team. Security and Compliance: Support SOC 2 Type II compliance efforts by implementing security controls and following established protocols. Infrastructure as Code: Gain experience with Terraform and other IaC tools to automate infrastructure provisioning and management. If interested, please send resume to ************************

Immediate need for a talented Senior Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Westlake, TX/Merrimack, NH(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-93826 Pay Range: $60 - $65/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key Skills; ETL, SQL, PL/SQL, Informatica, Snowflake, Data modeling, DevOps . 7 years of experience in developing quality data solution Software development experience in the Financial Industry Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning. Intermediate experience in Java development is preferred Solid understanding of ETL tools like Informatica and Data Warehousing like Snowflake. You enjoy learning new technologies, analyzing data, identifying gaps, issues, patterns, and building solutions You can independently analyze technical challenges, identify, assess impact, and identify innovative solutions Strong data modeling skills using Quantitative and Multidimensional Analysis Demonstrate understanding of data design concepts - Transactional, Data Mart, Data Warehouse, etc. Beginner proficiency of in Python, REST API and AWS is a plus You are passionate about delivering high-quality software using DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Git, Docker) practices! Experience developing software using Agile methodologies (Kanban and SCRUM) Strong analytical and problem-solving skills Excellent written and oral communication skills Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Work schedule: Hybrid Key Responsibilities: Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management. User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies. Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction. Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization. Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage. Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment. Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance. Qualifications and Experience: 5+ years of experience in data architecture, data engineering, or database development. 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security. At a minimum Bachelor's degree in Computer Science, Information Technology, or related field. Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred). Experience or exposure to AI tools. Deep understanding of data warehousing concepts, dimensional modeling, and analytics. Excellent problem-solving and communication skills. Experience integrating Snowflake with BI and reporting tools is a plus Required Skills: Strong proficiency in Snowflake architecture, features, and capabilities. Knowledge of SQL and Snowflake-specific query optimization. Experience with ETL tools and data integration processes. Strong proficiency in SQL and Python. Strong Database design and data modelling experience. Experience with data modeling tools. Ability to identify and drive continuous improvements. Strong problem solving and analytical skills. Demonstrated process-oriented and strategic thinking skills. Strong motivation and a desire to continuously learn and grow. Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc. Experience working in AWS cloud environments. Experience working with Power BI and other BI, data visualization, and reporting tools. Business requirement gathering and aligning to solutions delivery. Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies. Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus. Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus. Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail. Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Teamwork: Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills: Snowflake certification (e.g., SnowPro Core or Advanced Certification).

Collette is seeking a Staff Engineer to join our growing Technology team. This is a hybrid role based at our headquarters in Pawtucket, RI. Let Us Show You the World There has never been a better time to be in the travel industry. See the world, connect with others, and experience the immersive benefits of one of the trendiest industries when you join the Collette team! Collette's passionate team works hard to fulfill travel dreams and is always looking for talent that will help to shape the company's future. Being part of the Collette team means having a willingness to grow, a desire to learn and ask questions, and a zest for seeing the world. Collette is all about people. So, what are you waiting for? Your journey starts here. Job Summary We are seeking a Staff Engineer to join our growing team. In this role, you will leverage your deep technical expertise to solve challenging problems, guide technical direction, and mentor junior engineers. At Collette, we're at the beginning of our journey transitioning from a monolithic application stack to a distributed, microservice-based architecture. As a leader in guided travel, we're dedicated to crafting exceptional experiences for our travelers. We are seeking a Staff Engineer to provide technical leadership, design, and implementation of our next generation customer web product. Utilizing a modern cloud-based infrastructure and catering to hundreds of thousands of travelers worldwide. This role requires someone willing to work full stack in a microservices architecture with a front-end built in React and Next.js. A successful candidate will have a broad skillset covering front-end, back-end, cloud technologies in Azure, and DevOps practices in CI/CD. Primary Functions Lead design and development of back-end services in C#, Docker, Kubernetes, and SQL Server and front-end applications in React, Next.js and Node.js. Lead architecture design, code reviews, and technical discussions. Ensure quality via automated testing. Mentor Senior Software Engineers and more junior members on the team in best practices and technologies fostering their growth and development. Advocate for technical excellence by establishing best practices, conducting code reviews, and identifying opportunities for improvement. Collaborate with cross-functional teams including product managers, designers, and other engineers to deliver scalable and reliable software solutions. Stay updated on emerging technologies and industry trends, continuously enhancing your skills and knowledge to drive innovation within the team. Identify and mitigate technical risks, proactively developing solutions to potential problems. Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. Knowledge & Skills Bachelor's degree in computer science (preferred) or related field. 8+ years of relevant work experience, demonstrating a deep understanding of software engineering principles and practices. Proficiency in front-end technologies including React, Next.js and Node.js. Proficiency in API design and development and with cloud engineering, Azure services preferred. Proven track record in building distributed microservices at scale, coupled with expertise in relational databases, preferably SQL Server. Experience mentoring and coaching junior engineers. Strong understanding of software development best practices (e.g., version control, testing, continuous integration/continuous delivery). Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment. Strong communication skills with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Self-starter with a bias for action, a passion for innovation and continuous learning. Experience in the travel industry preferred. Experience in transformational projects from monolithic to decoupled services preferred. Above all, we're seeking an individual who is eager to immerse themselves in our business, embrace emerging technologies, and drive impactful change within our organization.

Job Title: Artificial Intelligence Engineer Location: Boston/Hybrid Type: Full-time The Role We're looking for a hands-on AI Systems Engineer to own the deployment, integration, and support of AI-powered tools (LLMs, Copilot, Claude, etc.) while keeping enterprise infrastructure running smoothly in a professional services environment. What You'll Do Build, deploy, and maintain AI applications that supercharge legal and knowledge workflows Manage and optimize cloud (Azure/M365) and on-prem environments (Windows/Linux, VMware/Nutanix, AD, SQL) Write production-grade Python/PowerShell, automate everything, consume REST APIs and SDKs Craft high-impact prompts and fine-tune LLM usage Partner with architecture and ops leadership on strategy, resilience, and continual improvement Research emerging tech and drive efficiency gains Rotate in 24×7 on-call (escalation/triage) You Bring 7+ years supporting mission-critical IT in professional services or similar Real experience with modern LLMs and AI tools Strong Python or PowerShell + familiarity with ML libraries Deep experience with Azure, M365, Active Directory, virtualization, networking, backups Proven ability to solve complex problems independently and communicate clearly Bachelor's in CS or related field