257 jobs found

Job Description Job Description Tesorio is the cash flow performance platform, which Accounts Receivable, Treasury, and FP&A teams use to manage, predict, and collect cash. Its AI processes over $30 billion in transactions each year for companies ranging from 50 to 10,000 employees. Series A company Founded: 2013 Funding: $16.9M Visa: Will transfer H1 Salary: $0 - $200k Job required skills: Cloud, NoSQL, SQL, SaaS, Python, Django Responsibilities Responsible for designing & implementing data architecture that will help with scalability, performance & reliability. You will own the data architecture at our company and work closely with the CTO & Engineering Leadership in order to solve the toughest technical challenges You will be a key member of the Engineering Leadership and help set the technical direction at our company Provide coaching & mentorship across the entire engineering organization Architect & implement production-grade code that is reliable, maintainable & scalable Anticipate technical challenges that we will face as we scale About you You've previously worked at startups and have helped them scale You're excited to lead data architecture at a startup You like to design & architect solutions that are reliable, maintainable & scalable You enjoy writing production-grade code to help implement your solutions You have strong opinions, but you hold them loosely You're always learning You love building and shipping magical products that will help thousands of companies The Ideal Candidate 10+ years of experience as a software engineer Prior experience as a Staff Software Engineer or a more senior engineering role Expert at data architecture. From schema design, data storage technologies, debugging data problems, building scalable data solutions & more. You're intimately familiar with the technology problems startups face as they scale because you've worked at a startup before and helped them scale Experience working on large multi-tenant SaaS systems Expertise working on cloud platforms (e.g. AWS) and building large-scale data architectures leveraging their technologies Nice to have Expertise with Python & Python web frameworks (e.g. Django, Flask) Experience working with financial data or working at a fintech company Expertise with AWS

Job Description Job Description Interviews: two internal rounds, one customer Experience: Minimum 12 years Job Description: About the Role We are looking for a Principal AI & Data Architect to define and lead our enterprise data and AI architecture. You will design a Snowflake-centric data platform with a strong semantic layer, and build the foundations for agentic AI systems that reason over trusted, governed enterprise data. You will be a hands-on technical leader, partnering with business, engineering, and security teams to turn data into reliable, AI-ready products. Key Responsibilities Data Architecture & Snowflake Platform Own the end-to-end architecture of the Snowflake Data Cloud: ingestion, storage, transformation, serving, and consumption. Design scalable, cost-efficient solutions using Snowflake features such as Snowpipe, Streams & Tasks, Dynamic Tables, Snowpark, Iceberg tables, Secure Data Sharing, and Marketplace. Define standards for performance tuning, warehouse sizing, clustering, and FinOps/cost governance. Lead modernization and migration from legacy platforms (Teradata, Oracle, Hadoop, SQL Server) to Snowflake. Semantic & Data Modeling Architect enterprise semantic layers, including business metrics, dimensions, hierarchies, and entity relationships. Design dimensional (Kimball), Data Vault 2.0, and canonical/domain models, and map them to the semantic layer. Implement Snowflake Semantic Views and Cortex Analyst semantic models, and integrate with tools like dbt Semantic Layer/MetricFlow, AtScale, Cube, or LookML. Establish ontologies, knowledge graphs, and business glossaries to ensure consistent meaning across the enterprise. Own metadata, lineage, and data contracts across domains (data mesh / data product approach). Agentic AI & GenAI Architecture Design agentic AI architectures: multi-agent orchestration, tool use, planning, memory, and guardrails. Build solutions on Snowflake Cortex (Cortex Agents, Cortex Analyst, Cortex Search, AI functions) and integrate with LLMs and frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI. Implement RAG and text-to-SQL patterns grounded in the semantic layer for accurate, explainable answers. Leverage MCP (Model Context Protocol) and API/tool integrations to expose governed data and actions to agents. Define LLMOps/AgentOps practices: evaluation, observability, prompt/version management, human-in-the-loop, and cost control. Establish Responsible AI practices covering bias, hallucination, privacy, and auditability. Governance, Security & Leadership Implement RBAC, row/column-level security, dynamic masking, tagging, and compliance controls (GDPR, HIPAA, SOC 2, PCI). Partner with data governance on quality, stewardship, and master data management. Provide architectural guidance, design reviews, and mentorship to data engineers, ML engineers, and analysts. Influence executive stakeholders; translate business needs into roadmaps and ROI-backed proposals. Evaluate emerging technologies and produce reference architectures, POCs, and best practices. Required Qualifications 12 years in data engineering, data architecture, or analytics, with 5 years in architect-level roles. 3 years of hands-on Snowflake architecture at enterprise scale (SnowPro Advanced: Architect preferred). Deep expertise in data modeling (3NF, dimensional, Data Vault) and semantic layer design. Proven delivery of GenAI/agentic AI solutions in production (RAG, tool-calling agents, multi-agent workflows). Strong SQL and Python; experience with dbt, Airflow/Dagster, Kafka, and CI/CD (Git, Terraform). Experience on at least one major cloud (AWS, Azure, or GCP). Solid understanding of data governance, security, and privacy frameworks. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications SnowPro Advanced certifications (Architect, Data Engineer, Data Scientist) and cloud architect certifications. Experience with knowledge graphs/ontologies (RDF/OWL, Neo4j) and graph-RAG. Experience with vector databases and embedding strategies. Background in MLOps and feature stores. Industry experience in BFSI / Healthcare / Retail / Manufacturing . Contributions to architecture blogs, talks, or open-source.

Job Description Job Description OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations. This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent. NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C. Pay Rate: $85-$95/hr Duration: 6-month contract-to-hire Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Platform Architecture & Delivery Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely. Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency. Quality, Governance & Operations Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines. Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting. Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows. Technical Leadership & AI Enablement Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices. Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases. Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy. QUALIFICATIONS Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience. Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems. Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design. Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent. Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security. Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments. Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks. Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures. Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira. Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) Experience in healthcare, regulated environments, or large enterprises is strongly preferred. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.

Job Description Job Description Principal Data Architect Seeking a Principal Data Architect to lead data architecture across Microsoft Dynamics 365, enterprise applications, and Azure data platforms. This role will focus on data modeling, integration, governance, and analytics enablement across ERP, CRM, MES, and PLM systems. Responsibilities Define enterprise data architecture across D365, ERP, CRM, MES, and PLM Design data models and integration patterns using APIs, Dataverse, ETL/ELT, and event-driven architecture Align operational systems with Azure data warehouse/lakehouse platforms Support data quality, governance, MDM, lineage, analytics, and AI initiatives Reduce data silos and point-to-point integrations Partner with engineering, application, and business teams Requirements 10 years in data architecture, data engineering, or enterprise architecture Strong Microsoft Dynamics 365 ERP/CRM experience Experience with D365 integrations and data models Strong Azure experience: Data Factory, Synapse, Fabric, Data Lake Experience with Dataverse, APIs, middleware, and data modeling Strong understanding of data governance and data quality Preferred MES / PLM integration experience Dual-write, BYOD, CDM Azure Event Grid / Service Bus Power BI / Fabric Manufacturing or supply-chain experience

Job Description Job Description Data Architects 6 12-month contract that may go perm Remote but must be local to EST or CST Must work EST hours Candidates must be very strong Data Archs Must be Proactive Must produce results Data Modeling Data Design AI Forward Thinking Excellent Comm skills Data Architecture for Transaction Architecture for Consumption The Principal Architect , Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture from transactional Systems of record to AI driven business intelligence for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders. Roles and Responsibilities Provide data technology leadership, oversight, and guidance to ensure that the solution adheres to PSS Architecture Guiding Principles and standards while maximizing reuse of technology assets. In depth experience in performing Buy vs Build analysis based on the qualitative and quantitative analysis across the available options to provide a final recommendation based on the rationale Play a key leadership role in architecture design reviews and identify gaps and recommend design changes. Actively lead and participate in the Architecture community to drive modernization opportunities for the advancement of PBM data technologies while keeping in mind the complexities of our technology landscape Develop data architectures, guardrails and guidelines to instill a strong data discipline, providing leadership, coaching and guidance to Engineering and Product teams across the organization. Architect AI driven business intelligence powered by a Universal Semantic Layer delivering powerful predictive analytics and Natural Language queries Advise and assist App development teams with technical roadblocks such as performance challenges within a solution in key strategic initiatives

Job Description Job Description Job Title: Platform/DevOps Engineer We are seeking a highly skilled and experienced Platform/DevOps Engineer with a strong background in Agile methodologies. The ideal candidate will have over 15 years of experience in software development, operations, and cloud technologies. This role is critical in ensuring the seamless integration of development and operations, enhancing our platform's reliability, scalability, and performance. Responsibilities: Design, implement, and manage CI/CD pipelines to automate software delivery processes. Collaborate with development teams to ensure best practices in Agile methodologies are followed. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement infrastructure as code (IaC) using tools such as Terraform or CloudFormation. Manage cloud infrastructure (AWS, Azure, or GCP) and optimize resource utilization. Develop and maintain documentation for processes, systems, and configurations. Participate in Agile ceremonies, including sprint planning, daily stand ups, and retrospectives. Provide mentorship and guidance to junior team members on DevOps practices and Agile principles. Stay updated with industry trends and emerging technologies to continuously improve our platform. Mandatory Skills: Strong knowledge and experience in Agile methodologies. Proficiency in CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Solid understanding of cloud platforms (AWS, Azure, GCP) and their services. Expertise in scripting languages such as Python, Bash, or PowerShell. Strong problem solving skills and the ability to work under pressure. Preferred Skills: Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Familiarity with configuration management tools like Ansible, Chef, or Puppet. Knowledge of security best practices in DevOps. Experience in working with microservices architecture. Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator). Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 15 years of experience in software development and operations, with a focus on DevOps practices. Proven track record of successfully implementing Agile methodologies in a DevOps environment. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a remote work environment. If you are a passionate Platform/DevOps Engineer with a strong Agile background and are looking for an exciting opportunity to make a significant impact, we encourage you to apply.

Job Description Job Description Network Engineer/ Network Architect position with our client. This is a high level role Need to architect, design and build.And standup a network platform in the cloud. Location- Remote There is a ROPES assessment that needs to be done They are looking for a principal level Network Engineer that can architect, design and build. They are looking for someone that has extensive experience with Cisco Viptela SD-Wan, Cloud security Architecture, and Palo Alto Firewalls. This role will be responsible for designing, implementing, and operating enterprise firewall and SD-WAN solutions across both cloud and on-premises environments. The ideal candidate will lead the deployment of Palo Alto firewalls within Google Cloud Platform (GCP) and other cloud environments, while also helping establish a new Cisco SD-WAN architecture connecting GCP hubs to on-premises branch and data center spokes. This position requires a highly independent engineer capable of driving both strategic initiatives and day-to-day operational support. GCP experience is not required, but preferred. They just need that expertise in leading the deployment within any cloud.

Job Description Job Description Data Architect openings There is a required ROPES assessment 6-12 month contract that may go perm Remote but must be local to EST or CST Must work EST hours Candidates must be very strong Data Archs Must be Proactive Must produce results Data Modeling Data Design AI Forward Thinking Excellent Comm skills Data Architecture for Transaction Architecture for Consumption The Principal Architect, Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture from transactional Systems of record to AI driven business intelligence for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders.

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Principal Data Scientist for a direct hire opportunity with one of our premier clients in Oshkosh, WI or New Hudson, MI. The Data Science Lead serves as a hands-on technical leader who bridges business strategy, advanced analytics, and AI-driven innovation to deliver high-impact solutions across the organization. This individual contributor role requires 5 years of experience leading end-to-end data science initiatives, partnering directly with business stakeholders, and translating complex business challenges into scalable machine learning, predictive analytics, and Generative AI solutions. The ideal candidate combines strong technical expertise in Python, SQL, cloud platforms, and modern AI/LLM technologies with the ability to independently architect, deploy, and support production-ready solutions. Data Science Lead collaborates closely with executive leadership, operations, product teams, and IT partners to define AI roadmaps, drive adoption, establish technical standards, and deliver measurable business value through data-driven decision making. Core requirements 5 years of experience; 6 years may be appropriate , according to the manager. The same core profile as R50808: AI-savvy and business-savvy, with strong business relationships and experience working directly with business stakeholders not solely back-end development. Ability to manage work end to end and personally deploy and deliver the solution. Shared considerations Both roles are individual-contributor positions , not manager roles. The manager is open to candidates who began in a business function or as a business analyst and later moved into IT, analytics, or data science, as well as candidates from consulting. The roles are described as hybrid: 3 days onsite and 2 remote , based in Oshkosh, Wisconsin, or New Hudson, Michigan . Relocation is acceptable if the candidate is willing to relocate; the manager said these are not commuting positions. Mentoring and executive-level communication are more central to the Principal role than to the Lead role. SUMMARY The Data Science Lead serves at the vital intersection of enterprise business strategy, machine learning innovation, and technical delivery. In this role, you will lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and artificial intelligence solutions across key business units. Technical Leadership & Solution Architecture End-to-End Delivery: Architect, build, and deploy production-grade machine learning models, statistical frameworks, and Generative AI/LLM applications (e.g., RAG architectures, intelligent agents, and fine-tuned models). Engineering Standards: Establish best-in-class coding, testing, evaluation, and documentation standards across the team. Conduct regular code and architecture reviews. Production MLOps: Partner closely with Data Engineering and DevOps teams to establish robust CI/CD pipelines, automated model monitoring, feature stores, data drift detection, and automated retraining workflows. Research & Innovation: Stay abreast of state-of-the-art developments in AI/ML, evaluating emerging methodologies, tools, and frameworks to accelerate organizational capabilities. Strategy, Road mapping & Stakeholder Management Business Translation: Collaborate closely with executive leadership, product managers, operations, and commercial leaders to translate complex business challenges into actionable data science initiatives. Strategic Roadmap: Define and prioritize the enterprise AI and analytics roadmap, aligning project timelines, milestones, and deliverables with core business objectives. Value Realization & Communication: Articulate complex algorithmic methodologies and quantitative findings in clear, non-technical language to executive stakeholders, driving adoption and demonstrable business impact. Governance & Ethical AI: Champion data integrity, security, model explainability, algorithmic fairness, and compliance with organizational policies and international AI safety standards. People Leadership & Team Development Mentorship & Coaching: Lead, coach, and support junior and mid-level data scientists, nurturing individual career trajectories, continuous learning, and technical mastery. Agile Project Execution: Foster an agile, delivery-focused sprint cadence, balancing exploratory research with strict milestone deadlines and business commitments. Culture & Community: Cultivate an inclusive, collaborative culture that celebrates technical curiosity, innovation, and knowledge-sharing across cross-functional units. Education & Professional Experience Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline (or equivalent practical experience). Minimum of 6 years of professional experience in data science, predictive modeling, or machine learning engineering. Technical Expertise Expert proficiency in Python (including NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL. Strong hands-on experience building supervised/unsupervised learning pipelines, deep learning models, natural language processing (NLP), and modern Large Language Model (LLM) architectures. Proven track record utilizing enterprise cloud ecosystems (AWS, Azure, or GCP) and distributed compute systems (Databricks, Snowflake, Apache Spark). Demonstrated familiarity with model tracking, containerization, and orchestration platforms (e.g., MLflow, Docker, Kubernetes, Kubeflow, Airflow). Proficiency in presenting findings via business intelligence and visualization tools (e.g., Power BI, Streamlit). Soft Skills & Core Competencies Strategic Thinking: Ability to see the bigger picture, connecting data capabilities to long-term business strategy. Outstanding verbal and written communication skills with the capability to influence senior leadership. Pragmatism & Value Orientation: Focus on business utility, avoiding over-engineering in favor of reliable, interpretable, and maintainable solutions. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Remote Pay Rate Range: $70.00 - $75.00/hr on W2 Livescan is required Position Description: A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment. Skills: Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously. Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators Experience Required: Additional Experience Required Five (5) years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing. Five (5) years of experience in developing data pipelines using Python Three (3) years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps Education Required This classification requires the possession of a bachelor's in computer science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Additional Information: California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS. Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.

Job Description Job Description Our client, a state organization, is looking to hire a Principal Data Engineer for Alhambra, CA - Remote opportunity . Apply today for consideration! Job Title: Principal Data Engineer Duration: 12+ months - Contract Location: Alhambra, CA - Remote Pay rate range: $100 - $104 per hour (DOE) Responsibilities: Design, develop, and maintain scalable data pipelines using Python and Databricks. Build and optimize Databricks Medallion Lakehouse architecture to support enterprise data integration and analytics. Implement data governance, data quality, and data management best practices. Develop data models and manage Azure resources to support reliable data operations. Automate Azure data resources using DataOps practices and mentor junior data engineers and database administrators. Qualifications: 5+ years of professional experience with Databricks, data engineering, data integration, data warehousing, and cloud computing. 5 years of experience developing data pipelines using Python. 3+ years of experience designing and developing Databricks Medallion Lakehouse architecture, with expertise in data governance and data quality. Experience with data modeling, Azure resource management, and DataOps automation; bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent qualifying experience.

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description Duration: 12 Months Schedule: 07:15 AM - 06:00 PM ( 4-day work week, 10-hour day) Job Description: Position Description: A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment. Skills Required: Excellent verbal and written communication skills; customer service orientation Strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work Effective mentor, providing guidance and support to junior data engineers and database administrators. Additional Experience Required : Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing. Five (5) years of experience in developing data pipelines using Python. Three (3) + years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices. One (1) year of experience in developing data models. One (1) year of experience in Managing Azure Resources. One (1) year of experience in automating Azure Data Resources using DataOps. Education Required : This classification requires the possession of a Bachelor's in Computer Science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Additional Information : California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS. Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. IND01

Job Description Job Description Senior Consultant AI & Automation Advisory Data Protection Services (DPS) Team: Solutions AI & Automation Advisory Reports To: Lead Consultant or Senior Manager, AI & Automation Advisory Role OverviewThe Senior Consultant AI & Automation Advisory is a skilled individual contributor who owns defined delivery tasks and workstream components within WWT's AI & Automation Advisory practice, supporting engagements such as the Client's Data Protection Services (DPS) AI Efficiency Assessment. Positioned below the Lead Consultant, the Senior Consultant brings hands-on depth across AI opportunity assessment, process and workflow analysis, and data protection domain knowledge, executes high-quality client deliverables with growing independence, and begins developing trusted client relationships at the working level. The Senior Consultant is the engine of AI advisory delivery leading current-state discovery across data protection pillars and functions, identifying and cataloguing AI-enabled use cases, supporting feasibility and target-state operating model design, and producing the analytical outputs that underpin client recommendations. They work under the direction of a Lead Consultant, Principal, or Senior Manager, and are expected to grow steadily toward owning full workstreams and contributing to pre-sales activities. What is Expected Engagement Delivery Execute assigned delivery tasks and workstream components within AI efficiency assessment engagements with accountability for quality, accuracy, and on-time completion Lead technical components of the assessment: conduct current-state discovery across Data Protection Fleet pillars (Cryptography and Secrets, Data Leakage Prevention, Data Asset Protection) and horizontal functions (Policy and Architecture, Fleet Enablement, Development, Engineering), document findings, and identify opportunity themes with guidance from the engagement lead Perform hands-on AI opportunity work: use-case identification, process and workflow mapping, agent design input (guided, pillar-specific, and cross-pillar orchestration agents), feasibility scoring, and prioritization support Produce client-ready deliverables current-state assessment packs, AI opportunity inventories, use-case catalogues, target-state operating model inputs, roadmap inputs, and executive summaries that meet WWT's professional services quality standards Facilitate discovery sessions, stakeholder interviews, and working-level workshops with DPS pillar and function stakeholders; synthesize findings into structured outputs for Lead Consultant review Maintain the DPS AI Initiatives Tracker workbook as the engagement's system of record, including entries in the Innovation Backlog, AI Initiatives Register, AI Risk and Controls, and AI Benefits Tracking sheets, and support classification of implementation status and validation of Jira AI labeling Client Engagement Build working-level relationships with DPS pillar and function stakeholders, technology teams, and project sponsors; establish credibility as a reliable, knowledgeable AI advisory resource throughout the engagement Communicate findings clearly and accurately to client counterparts; begin developing the ability to present findings to project sponsors and working-group leadership Contribute to client status reporting, meeting facilitation, and action item tracking under the direction of the engagement lead Pursuit & Practice Support Support pre-sales and pursuit activities: contribute to SOW scoping, effort estimation, and proposal content for AI and automation advisory engagements under the direction of the Lead Consultant or Senior Manager Contribute to practice development through reusable delivery assets, AI opportunity assessment templates, use-case catalogues, and technical write-ups Begin developing commercial awareness: understand engagement economics, utilization expectations, and how delivery quality connects to client satisfaction and account growth Growth & Development Actively build depth across AI/automation domains, agentic architectures, and data protection frameworks through project work, certifications, and self-directed learning Seek and apply feedback from Lead Consultants and Senior Managers; demonstrate consistent growth in delivery independence, communication quality, and domain breadth Begin supporting and coaching more junior colleagues on technical tasks and WWT delivery standards QualificationsRequired 4 8 years of experience in AI/automation strategy, technology consulting, or process engineering with a clear focus on AI-enabled efficiency, agentic solutions, or workflow automation; experience in cybersecurity, data protection, or regulated enterprise environments strongly preferred Hands-on experience across AI advisory domains and platforms, including one or more of: AI Opportunity Assessment current-state process/workflow discovery, use-case identification, feasibility and control-readiness assessment, prioritization frameworks, and business case development Agent & Automation Design enterprise agent and productivity platforms (M365 Copilot, Copilot Studio, Agent Builder, Power Automate AI, Power Citizen), developer coding assistants (GitHub Copilot, Claude Code, Amp), and orchestration/human -in-the-loop design AI Governance & Controls responsible AI principles, model and agent lifecycle controls, risk and controls tracking, data sensitivity classification, and approval/audit alignment Data Protection & Cybersecurity Domain exposure to cryptography and secrets management, data leakage prevention (DLP), data asset protection/DSAR workflows, or security policy and architecture, particularly within regulated or financial services environments Initiative Tracking & Reporting Platforms experience with workbook- or Jira-based initiative tracking, KPI/benefits tracking, and executive dashboard reporting Working knowledge of AI and data protection frameworks: responsible/trustworthy AI principles, NIST AI RMF, enterprise SDLC and engineering standards, and data protection concepts spanning cryptography, secrets management, DLP, and data asset protection Understanding of core AI advisory concepts: AI category taxonomies (Automate, Assist, Augment, Generate, Analyze), lifecycle stages (Idea/Concept through Deployed/Scaled), human-in-the-loop design, feasibility vs. desirability vs. viability, and control readiness in regulated environments Demonstrated consulting delivery competencies, including: Structured discovery: ability to conduct current-state discovery interviews, gather documentation and workbook/Jira evidence, manage information collection across pillars and functions, and synthesize findings into clear, structured outputs Opportunity and gap analysis: experience assessing operating-model maturity against AI adoption criteria, documenting opportunity and control gaps, and prioritizing findings by business impact and feasibility Technical communication: ability to translate AI opportunity and data protection findings into clear written deliverables and verbal summaries for technical and working-level client audiences Workshop facilitation: participate in and contribute to discovery sessions, opportunity-identification workshops, and validation sessions; begin developing the ability to facilitate independently Deliverable quality: consistent track record of producing accurate, well-structured client deliverables assessment packs, use-case catalogues, workbook updates, and roadmap inputs on time and to standard Engagement collaboration: work effectively within project teams; communicate status, risks, and issues proactively to the engagement lead; adapt to shifting priorities and client needs Preferred Bachelor's degree in Computer Science, Information Security, Data Science, Business, or a related field Certifications demonstrating AI, automation, or security knowledge: Microsoft Certified: Copilot or related AI credentials, CISSP, CISM, CISA, PMP, or equivalent Experience in enterprise environments across financial services, healthcare, or other regulated sectors particularly where AI adoption intersects with cybersecurity, data protection, or regulatory scrutiny Prior consulting experience at a professional services firm, systems integrator, or equivalent client-facing advisory role Familiarity with pre-sales processes: SOW development, effort estimation, or proposal support for AI/automation advisory engagements Key Competencies AI/automation domain depth and hands-on opportunity assessment execution Delivery quality and individual accountability Clear technical communication written and verbal Collaborative team contributor with a growth orientation Success in this role means executing AI efficiency assessment deliverables with high quality and growing independence, building credibility with client teams through consistent performance, expanding domain depth across AI advisory and data protection, and contributing to a practice that clients trust and return to while building toward the skills and experience required to step into a Lead Consultant role.

Job Description Job Description Title: Enterprise Data Architect Location: Harrisburg - PA Duration: 4 Months Note: Hybrid - one day weekly (Tue, Wed or Thursday) in office 607 South Drive, Forum Building 5th floor, Harrisburg Interview type: Screening with hiring manager, virtual interview with 2more people, final in person at Harrisburg Job Description: Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support transformation and AI priorities. This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture. Key Responsibilities: Enterprise Information Architecture Define conceptual and logical data models for common business entities. Establish canonical models and enterprise information standards. Define relationships between enterprise and domain-specific data assets. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design. Modernization Programs Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs. Analyze legacy systems and identify information assets suitable for enterprise reuse. Prevent duplication of data structures across applications and agencies. Support data migration strategies and target-state architecture. Data Product Architecture Identify and support design of reusable data products Define schemas, interfaces, metadata and quality requirements Establish product boundaries, stewardship and ownership models. Data Governance and Metadata Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability Define business definitions and data quality expectations. Platform and Technology Collaboration Work with engineering and platform teams to translate business concepts into technical designs. Partner with cloud, integration and data teams to implement enterprise data products. Promote API-first and product-based approaches to information sharing. AI Enablement Ensure enterprise data products are discoverable, governed and suitable for future AI use cases. Support semantic layers, knowledge graphs and natural language access to enterprise information. Desired Background and Experience Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience Minimum 10 years of experience in data architecture, information architecture or enterprise architecture. 8 years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus. Experience working with data security, privacy and regulatory requirements for handling sensitive data Experience in designing and implementing data quality initiatives, including platforms and tooling Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Ability to work across domains and stakeholders with strong communication skills Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority Industry Experience in Public sector, Healthcare or Financial Services is preferable Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives Success Measures During the first year, this role will Establish enterprise information architecture principles. Define reusable enterprise data products for priority domains. Support specific modernization initiatives as a model implementation. Introduce metadata and ownership standards. Enable future modernization efforts to reuse common data assets rather than recreating them. Client the foundation for enterprise analytics and AI capabilities across the Commonwealth. Required / Desired Skills: experience in data architecture, information architecture or enterprise architecture. hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehou experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP experience working with data security, privacy and regulatory requirements for handling sensitive data experience in designing and implementing data quality initiatives, including platforms and tooling experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 8+ years of storage-related experience, OR M.S. in CS, CE, or related field with 5+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $145,000/yr - $205,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Charter is proud to have a network that provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network architecture and designs. Under limited supervision, this Principal Engineer position leads the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. This role is responsible for defining the technical direction of the enterprise data ecosystem, ensuring platform scalability, reliability, security, and operational excellence. The ideal candidate combines deep hands-on expertise in Hadoop administration with strong architecture leadership , cross-functional collaboration, and the ability to mentor engineering teams. How You'll Make an Impact Owns the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives infrastructure optimization across storage, compute, workload management, and job scheduling. Establishes best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning. Partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns. Troubleshoot complex platform, performance, and production stability issues across distributed systems. Lead root cause analysis and implement preventive measures to improve resiliency and service quality. Evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures. Mentor engineers and administrators, providing technical leadership across platform operations and engineering initiatives. Create and maintain platform documentation, operational runbooks, and architecture standards. Create and maintain data views, data exports and automated data processing. Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Master's or bachelor's degree in Engineering or related field or related work experience Experience 5+ years engineering work experience 5+ years project management work experience Skills Ability to read, write, speak and understand English Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols Basic knowledge in network design, network architecture, protocols and network topology Basic knowledge in TCP/IP and the OSI Model Basic knowledge in using ticketing and software tools to support the current operations Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio Ability to perform duties in a very fast-paced environment and ability to learn new technology quickly Ability to use personal computer and software applications Preferred Qualifications Education Cisco Certified Internetwork Expert (CCIE) Industry and vendor specific certifications and training preferred (Cisco, Juniper, Alcatel-Lucent, etc.) Skills Minimum four (4) years of software development experience using Python / Typescript Experience with Django/Flask/FastAPI Experience with Shell scripting, TCP/IP and networking concepts, system security best practices and system monitoring Capable of managing systems in a large scale, high availability, multi-site environment Experience working in DevOps practices and tools Experience with Hadoop and other database technologies, like Postgresql/MySQL, Splunk Experience with container technologies such as Docker, Kubernetes, etc. Other Industry and vendor specific certifications, training (Python, DevOps, Network Technologies) Advanced knowledge of network automation platforms and techniques Advanced knowledge of concurrent, parallel and asynchronous programming design and techniques Advanced knowledge of restful api design, operation and interaction Working knowledge of PEP8 programming practices Ability to read, understand and effectively convey RFC and IEEE standards and concepts EGN601 4 EGN601 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-11-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Imagine shaping the future of enterprise data infrastructure at Spectrum, where you'll architect and lead advanced data engineering solutions that drive business intelligence. As a Principal Data Architect I, you will be the subject matter expert, guiding multiple programs and systems, and delivering innovative strategies to elevate data management. Your expertise will directly enhance operational efficiency and empower decision-making across the organization. How You'll Make an Impact Architect and implement data structures, models, and movement infrastructures to support enterprise data warehousing and master data management Lead the deployment of data services and programming concepts, optimizing error handling, data manipulation, and I/O processing Design, enhance, monitor, and troubleshoot requirements and architecture specifications for data warehousing and processing systems Direct the Insights team to create and support comprehensive end-to-end data solutions across various platforms, domains, and locations Oversee development of ETL processes and solutions aligned with Spectrum standards, ensuring consistent and global data integration Mentor junior developers, vendors, consultants, and external partners to swiftly identify and resolve integration issues Diagnose complex data engineering challenges and implement optimal resolutions to deliver quality results Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree or equivalent experience Experience 8+ years of ETL experience 6+ years of experience with SQL, Shell Script, Python, JSON 5+ years of data integration experience 5+ years of experience with data visualization tools such as Tableau, Alterx, Microstrategy 5+ years of software engineering experience Skills Ability to read, write, speak, and understand English Extensive experience building use cases and supporting data scientists and engineers Extensive experience with data lake - all data sources - building out data sets for uses cases Expertise in building SQL/HIVE databases and tables Proficient in querying and designing efficient warehousing structures Deep knowledge of data access methods from relational databases using SQL Hands-on experience with web services (WSDL Soap, Restful) for accessing data from multiple source systems Strong understanding of FTP and sFTP protocols Advanced skills in designing and architecting complex ETL processing and warehousing solutions Effective written and verbal communication Strong analytical and troubleshooting abilities Preferred Qualifications Education Master's degree or equivalent experience with design, architecture, and leadership MPD639 9 MPD639 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-10-:47 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Imagine shaping the future of enterprise data infrastructure at Spectrum, where you'll architect and lead advanced data engineering solutions that drive business intelligence. As a Principal Data Architect I, you will be the subject matter expert, guiding multiple programs and systems, and delivering innovative strategies to elevate data management. Your expertise will directly enhance operational efficiency and empower decision-making across the organization. How You'll Make an Impact Architect and implement data structures, models, and movement infrastructures to support enterprise data warehousing and master data management Lead the deployment of data services and programming concepts, optimizing error handling, data manipulation, and I/O processing Design, enhance, monitor, and troubleshoot requirements and architecture specifications for data warehousing and processing systems Direct the Insights team to create and support comprehensive end-to-end data solutions across various platforms, domains, and locations Oversee development of ETL processes and solutions aligned with Spectrum standards, ensuring consistent and global data integration Mentor junior developers, vendors, consultants, and external partners to swiftly identify and resolve integration issues Diagnose complex data engineering challenges and implement optimal resolutions to deliver quality results Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree or equivalent experience Experience 8+ years of ETL experience 6+ years of experience with SQL, Shell Script, Python, JSON 5+ years of data integration experience 5+ years of experience with data visualization tools such as Tableau, Alterx, Microstrategy 5+ years of software engineering experience Skills Ability to read, write, speak, and understand English Extensive experience building use cases and supporting data scientists and engineers Extensive experience with data lake - all data sources - building out data sets for uses cases Expertise in building SQL/HIVE databases and tables Proficient in querying and designing efficient warehousing structures Deep knowledge of data access methods from relational databases using SQL Hands-on experience with web services (WSDL Soap, Restful) for accessing data from multiple source systems Strong understanding of FTP and sFTP protocols Advanced skills in designing and architecting complex ETL processing and warehousing solutions Effective written and verbal communication Strong analytical and troubleshooting abilities Preferred Qualifications Education Master's degree or equivalent experience with design, architecture, and leadership MPD639 9 MPD639 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-10-:47 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Charter is proud to have a network that provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network architecture and designs. Under limited supervision, this Principal Engineer position leads the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. This role is responsible for defining the technical direction of the enterprise data ecosystem, ensuring platform scalability, reliability, security, and operational excellence. The ideal candidate combines deep hands-on expertise in Hadoop administration with strong architecture leadership , cross-functional collaboration, and the ability to mentor engineering teams. How You'll Make an Impact Owns the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Leads administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala , and related tooling. Defines platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security. Drives infrastructure optimization across storage, compute, workload management, and job scheduling. Establishes best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning. Partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns. Troubleshoot complex platform, performance, and production stability issues across distributed systems. Lead root cause analysis and implement preventive measures to improve resiliency and service quality. Evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures. Mentor engineers and administrators, providing technical leadership across platform operations and engineering initiatives. Create and maintain platform documentation, operational runbooks, and architecture standards. Create and maintain data views, data exports and automated data processing. Working Conditions Office environment What You'll Bring to Spectrum Required Qualifications Education Master's or bachelor's degree in Engineering or related field or related work experience Experience 5+ years engineering work experience 5+ years project management work experience Skills Ability to read, write, speak and understand English Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols Basic knowledge in network design, network architecture, protocols and network topology Basic knowledge in TCP/IP and the OSI Model Basic knowledge in using ticketing and software tools to support the current operations Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio Ability to perform duties in a very fast-paced environment and ability to learn new technology quickly Ability to use personal computer and software applications Preferred Qualifications Education Cisco Certified Internetwork Expert (CCIE) Industry and vendor specific certifications and training preferred (Cisco, Juniper, Alcatel-Lucent, etc.) Skills Minimum four (4) years of software development experience using Python / Typescript Experience with Django/Flask/FastAPI Experience with Shell scripting, TCP/IP and networking concepts, system security best practices and system monitoring Capable of managing systems in a large scale, high availability, multi-site environment Experience working in DevOps practices and tools Experience with Hadoop and other database technologies, like Postgresql/MySQL, Splunk Experience with container technologies such as Docker, Kubernetes, etc. Other Industry and vendor specific certifications, training (Python, DevOps, Network Technologies) Advanced knowledge of network automation platforms and techniques Advanced knowledge of concurrent, parallel and asynchronous programming design and techniques Advanced knowledge of restful api design, operation and interaction Working knowledge of PEP8 programming practices Ability to read, understand and effectively convey RFC and IEEE standards and concepts EGN601 4 EGN601 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-11-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $110,800.00 and $196,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet , Mobile, TV and Voice products. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.