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Red Hat's Global Sales Go-To-Market Strategy, Incentives & Data Analytics organization is seeking a Principal Data Engineer to work with a high degree of autonomy to lead the integration, automation, and optimization of complex data solutions. In this role, you will move beyond simple execution to provide technical leadership in data massaging, reconciliation, and architectural design. You will be responsible for building robust data pipelines, ensuring data governance, and collaborating with cross-functional teams to deliver high-quality data products that drive business decisions. What will you do? Advanced SQL Development: Write complex, highly optimized SQL queries across large datasets. You will be the subject matter expert for SQL query tuning and providing performance recommendations to the wider team. Python Automation: utilize advanced Python proficiency (including libraries such as Pandas and NumPy) to clean, massage, and merge raw datasets, automating complex data extraction and loading processes. Pipeline Orchestration: Design, schedule, and monitor robust data pipelines using tools like Airflow. You will take ownership of debugging workflows and resolving performance bottlenecks. Data Stewardship: Act as a guardian of data integrity. This includes leading initiatives on data governance, compliance, transformation, and validation audits. Automated Testing & CI/CD: Develop and maintain automated unit, end-to-end, and integration tests to ensure data accuracy. Participate actively in version control (Git) and CI/CD processes for deploying pipeline changes across environments. Cross-Functional Leadership: Partner with Analysts, Engineers, and Operations teams to understand data needs and ensure data accessibility for business stakeholders from the finance and operations organizations. Problem Solving: Apply strong analytical skills to translate complex algorithms into efficient software solutions, converting raw data into actionable insights by identifying trends, outliers, and distributions. What will you bring? Experience: 5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in an enterprise environment with large, complex data sources. Education: Master's degree in Computer Science, IT, Engineering, or equivalent experience. Expert SQL: Deep expertise in relational databases (PostgreSQL, MSSQL, etc.) and query optimization. Expert Python: Strong programming skills for data querying, cleaning, and presentation, with hands-on experience in data-centric libraries. Modern Stack Experience: Working knowledge of DBT (Data Build Tool) and Snowflake data warehousing is highly desirable. ELT/ETL Tools: Experience with Fivetran or similar integration tools. Autonomy: Ability to manage multiple projects simultaneously in a fast-paced, distributed team environment across different time zones and cultures. Troubleshooting: Exceptional logic and reasoning skills to troubleshoot complex data issues. Planning: Ability to think strategically about data architecture and project planning. #Li-NG1 The salary range for this position is $120,720.00 - $199,120.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years' experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud. Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft). Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS). Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial's Houston, TX, Woodland Hills, CA, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information Technology Estimated Travel Percentage (%): Relocation Provided: American General Life Insurance Company

Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Looking for W2 CONTRACT, Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! Visa sponsorship is available for this position.Job Title: Data Administrator / Data Architect Job Location- Austin, Texas (Hybrid-2days/week)- Local Candidates only Interview Mode: In person/MS Teams Job Overview Understands business objectives and challenges, identifies alternative solutions, and performs cost/benefit analyses. Analyzes user requirements, operational procedures, and system problems to automate processes or improve existing computer systems. Collaborates with stakeholders to define input/output requirements, reporting formats, and system specifications. Writes detailed documentation describing user needs, program functions, and development or modification steps. Reviews computer system capabilities, specifications, and limitations to determine the feasibility of program requests. Possesses comprehensive expertise in Oracle, AWS, and cloud-native architectures. Modernizes legacy systems and implements modular, scalable, and cloud-based data solutions. Supports HHSC transformation objectives by optimizing database performance and ensuring secure cloud deployments. Facilitates collaboration among cross-functional teams to enable agile delivery and uphold architectural governance. Ensures secure, accurate, and efficient management of data across both legacy and modernized systems. Key Responsibilities Analyze business needs and identify technology-driven solutions. Conduct feasibility and cost/benefit studies for system enhancements or automation. Confer with organizational units to assess current procedures and identify areas for improvement. Document functional requirements and technical specifications for program development or modification. Design, develop, and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting. Optimize Oracle database performance and ensure high availability and disaster recovery. Implement and manage Oracle RAC and Data Guard configurations. Perform backup, restore, and recovery operations using RMAN. Develop and tune complex SQL and PL/SQL procedures. Manage cloud infrastructure, including deployment, storage, and security best practices. Support DevOps practices and CI/CD pipelines for database changes. Evaluate and integrate AI, machine learning, and big data analytics technologies within healthcare environments. Participate in on-premises to cloud migrations and modernization efforts. Promote architectural consistency and governance across systems. Communicate effectively with both technical and non-technical audiences. Candidate Skills and Qualifications Minimum Requirements 8+ years Data architecture, data modeling, and data warehousing experience. 8+ years Oracle Database architecture, administration, and performance tuning. 8+ years Hands-on experience with Oracle RAC (Real Application Clusters) configuration and management. 8+ years Strong knowledge of data architecture principles and best practices. 8+ years Expertise in writing complex SQL, PL/SQL, and performance-optimized queries. 8+ years Strong understanding of Oracle Data Guard and HA/DR strategies. 8+ years Familiarity with cloud-native database services and PaaS offerings. 8+ years Experience performing database backup, restore, and recovery operations using RMAN. 8+ years Proficiency in cloud infrastructure management, data storage, and cloud security best practices. 8+ years Experience developing and maintaining enterprise data models, data warehouses, and data lakes. 8+ years Experience with AI, machine learning, and big data analytics integration in healthcare. 8+ years Experience working in DevOps environments with CI/CD pipelines. Preferred Qualifications 8+ years Experience transforming monolithic, on-premises data structures to microservice-aligned schemas. 8+ years Experience with Enterprise Architecture practices, hybrid cloud deployments, and migration roadmaps. 8+ years Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences. 8+ years Understanding of Information Management principles, SDLC, IT architecture, and organizational technologies. 8+ years Customer-focused approach with ability to collaborate across all levels of the organization. 8+ years Proactive leadership style with strong attention to detail. 3+ years Experience within an integrated eligibility case management system.

Sr. Data Scientist / Data Analyst Location: Dallas, TX and Pittsburgh, PA Remote Role Lon Term Role Overview: 1 3 years of experience in AI/ML engineering or software development. Experience with data storytelling through visualization. Experience in designing and executing end to end experiments Experience with vector databases, data pipelines, and retrieval systems. Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI. Strong problem-solving skills and eagerness to learn new AI techniques and frameworks. Domain expertise in Personal Investment Banking (Preferable) Key Responsibilities Design, develop, and deploy machine learning models that solve real-world problems. Extract, clean, and preprocess large, unstructured datasets from various internal and external sources. Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making. Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP). Perform and lead analyses of historical data to surface trends and insights using advanced analytical methods. Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members. Required Qualifications Experience: 6+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications 1 3 years of experience in AI/ML engineering or software development. Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.

Location: Dallas, TX, USA Required Skills & Qualifications Applicants must be able to work directly for Artech on W2 5-10 years of relevant industry experience Strong SQL skills to profile data and perform ongoing data analyses Experience developing business process flows, data standards, and definitions Demonstrated ability to build out a Business Glossary and to map and track Data Lineage Preferred Skills & Qualifications Experience with the Informatica suite of Data Governance tools is strongly preferred Project management experience managing multiple project streams and delivering results across cross-functional teams Demonstrated data analysis, data presentation, and data development skills Day-to-Day Responsibilities Maintain the Business Glossary of data asset definitions Identify, track, and document the Data Lineage of the data assets Profile data assets and build business rules to define fit-for-purpose Data Quality Review Data Quality results and work with partners to resolve data issues and perform root cause analysis Create and maintain business process flows and data mappings Participate in periodic data owner forums to discuss prioritization, initiative status, and issue resolution Help embed a data-driven mindset across the organization Company Benefits & Culture Inclusive and diverse workplace culture Opportunities for professional growth and development Collaborative and supportive team environment For immediate consideration please click APPLY to begin the screening process with Alex.

Data Engineer /Data Architect Location: Herndon, VA Preferred: US Citizen Job Description Node is currently seeking a motivated, career and customer-oriented Senior Data Engineer /Data Architect to begin an exciting and challenging career with our large Enterprise Application Support Program on one of our project delivery teams. Job Responsibilities · Design and implement effective database structures and models to store, retrieve, and analyze data. · Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources. · Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality. · Integrate data from different sources, ensuring consistency, reliability, and accuracy. · Develop data APIs and automation scripts to streamline data integration and workflows. · Monitor and optimize database and data processing system performance. · Conduct performance tuning and troubleshoot data issues. Requirements Requirement: · Bachelor's degree in Computer Science, Management Information Systems, or relevant discipline (4 years of equivalent experience) · 8+ years' experience with: o Proven experience as a Data Architect, Data Engineer, or in a similar role. o Extensive experience in designing and implementing data architectures. o Hands-on experience in developing and managing data pipelines and ETL processes. o Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). o Experience with big data technologies (e.g., Hadoop, Spark) and ETL tools. o Strong programming skills in languages such as Python, Java, or Scala. Company Overview: Node.Digital is an independent Digital Automation & Cognitive Engineering company that integrates best-of-breed technologies to accelerate business impact. Our Core Values help us in our mission. They include: OUR CORE VALUES Identifying the~RIGHT PEOPLE~and developing them to their full capabilities Our customer’s “Mission” is our “Mission”. Our~MISSION FIRST~approach is designed to keep our customers fully engaged while becoming their trusted partner We believe in~SIMPLIFYING~complex problems with a relentless focus on agile delivery excellence Our mantra is “~Simple Secure Speed~” in delivery of innovative services and solutions Benefits We are proud to offer competitive compensation and benefits packages to include Medical Dental Vision Basic Life Health Saving Account 401K Three weeks of PTO 10 Paid Holidays Pre-Approved Online Training

This job is with Encode, Inc a fully owned subsidiary of Lancesoft Enter Job Description... echnical Publication Position Responsibilities: •Interprets and analyzes engineering data, reliability and maintainability data, supply chain data, and customer operations and support concepts to develop aircraft maintenance instructions •Provides recommendations on product supportability and establishes operation maintenance tasks and support resources. •Identifies and analyzes logistics support candidates from product definition and develops logistics support analysis records and reports. •Writes and maintains technical documentation for operating, testing, inspecting and maintaining aircraft systems and/or components. •Review logistics support analysis reports, and develop or revise the initial maintenance instructions for continued airworthiness (ICA) •Track and status completion of tasks using Boeing workflow management tools •Perform quality checks on completed maintenance tasks •Influence maintenance approach and product designs to ensure supportability and maintainability of the product •Validate the quality and accuracy of completed tasks on the aircraft. Required Qualifications (Required Skills/Experience): •5+ years of experience with aircraft maintenance and/or modifications •5+ years of experience with interpreting engineering data for inclusion into maintenance manuals and/or technical publications Preferred qualifications: •2+ years experience authoring in eMOD •2+ years experience with SLICwave •1+ years experience with Technical Publications Validation/Verification •Bachelor’s degree in an aerospace discipline Regular and predictable attendance is a requirement of this request. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.

"From Another Industry to Tech: Convert Your Experience Into a Tech Offer.” Breaking into tech from another industry can feel intimidating—until you realize you already have advantages many entry-level candidates don't. If you're coming from business operations, finance, healthcare, education, QA, customer support, project management, logistics, or even sales, you've likely built skills that translate well into tech teams: problem solving, stakeholder communication, process thinking, and real-world accountability. What you may be missing is structured technical depth and an interview-ready portfolio. That's where SynergisticIT's JOPP comes in: it's designed to help you bridge from "capable professional” to "hire-ready engineer or data professional.” Since 2010, SynergisticIT has supported thousands of candidates into full-time roles with major employers such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, and more—often at $95k to $154k depending on role and stack. JOPP is built around one goal: close the gap between what tech employers expect and what jobseekers typically have after self-study or training-only bootcamps. What roles can career switchers target? SynergisticIT typically supports candidates targeting roles like entry-level software programmer, Java full stack developer, Python/Java developer, DevOps engineer, data analyst, BI analyst, data engineer, data scientist, and machine learning/AI engineer—based on client needs. The program's focus areas are clear: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Why "learning” isn't enough when switching careers Most career switchers try to piece together skills from Udemy/Coursera, free tutorials, and quick bootcamps. That can build familiarity—but employers hire for job-ready depth. You need: Strong fundamentals (programming + data concepts) Real projects (not tutorials) A clear role narrative ("I'm targeting X with Y stack”) Interview preparation and repetition A plan for getting interviews, not just learning skills SynergisticIT sees many candidates arrive after trying other paths. In fact, it often notes that about 30% of JOPP candidates have already tried bootcamps, online courses, or university bootcamps and didn't secure jobs—because those options focused on learning but not the job-search execution and readiness. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT Wage-Based H-1B Filing What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT How JOPP helps convert your background into a tech story If you come from business, you can present "domain+ tech” as a strength. If you come from QA or project roles, you already understand how software teams operate. JOPP helps you fill technical gaps while shaping a profile that resonates with employers. This includes structured projects, tool exposure, interview readiness, and placement support. International candidates and documentation support For F1/OPT candidates, employment timelines matter. SynergisticIT provides guidance around STEM extension and process support related to H-1B and Green Card filing once employed (as applicable through employers). Want ROI context? ROI Blog:https://www.synergisticit.com/roi-of-job-placement-program/ If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us:https://www.synergisticit.com/contact-us/ You don't have to start over—you just have to start with the right roadmap.

Introduction Join our team as we develop and enforce enterprise data management policies to ensure compliance and enhance data governance across the organization. We are seeking a talented and experienced professional to lead and innovate in the field of data management. Required Skills & Qualifications Must-have qualifications that candidates must meet to be considered: Applicants must be able to work directly on a W2 basis. Banking or financial services experience. Data Management certification (e.g., Certified Data Management Professional, Certified Data Steward). Seven years of experience or an equivalent combination of education and work experience involving: Writing and enforcing Enterprise Data Management policies, standards, and procedures. Designing and executing data management risk assessments. Preferred Skills & Qualifications Nice-to-have skills but are not required: Ten years of experience or an equivalent combination of education and work experience involving: Writing and enforcing Enterprise Data Management policies, standards, and procedures. Designing and executing data management risk assessments. Experience creating dashboards using tools such as Power BI or Tableau. Experience creating and delivering executive-level presentations of complex concepts. Day-to-Day Responsibilities Key tasks and expectations for the role: Author and enforce Enterprise Data Management policies and requirements. Design and implement enterprise data management policy adherence practices across the enterprise. Define, implement, and operate Enterprise Data Management processes. Develop, monitor, and report data management policy adherence metrics. Company Benefits & Culture We are committed to fostering a diverse and inclusive work environment. Join a team that values innovation, collaboration, and professional growth. Supportive and inclusive company culture. Opportunities for professional development and career advancement. Engagement in meaningful and impactful projects. For immediate consideration please click APPLY to begin the screening process.

Pay rate range - $55/hr. to $60/hr. Work Schedule: Fully onsite Education and years of Experience: 1) Bachelor's Degree or higher in an applicable field 2) 3-5 years of experience in data analytics, business intelligence, or a related field Top Skills: • Strong SQL skills with experience querying complex, multi-source datasets • Proficiency in Python or R for data manipulation, analysis, and automation • Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar) • Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts) KEY RESPONSIBILITES/REQUIREMENTS: We are seeking a Data Analyst contractor to support the Core Engineering organization. In this embedded role, you will partner directly with engineering leadership to build and maintain a comprehensive engineering intelligence platform spanning delivery metrics, quality indicators, and team health analytics across our global development centers in the US, Bangalore, and Warsaw. The ideal candidate combines strong technical skills (SQL, Python, Looker) with analytical rigor and clear communication. You will work across multiple data sources—including JIRA, HR systems, Git, and CI/CD pipelines—to surface actionable insights that drive operational decisions and team effectiveness. Key Responsibilities 1. Engineering Metrics & Dashboards • Design, build, and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment success • Create automated reporting pipelines using Python to reduce manual data gathering • Establish standardized metrics definitions across US, Bangalore, and Warsaw teams 2. Quality Analytics • Track and visualize bug rates, test coverage, incident response times, and technical debt trends • Build early warning systems to identify quality issues before they impact delivery • Partner with engineering leads to define quality benchmarks and improvement targets 3. Team Health & Capacity Planning • Develop capacity planning models and utilization dashboards • Analyze hiring pipeline data to support workforce planning decisions • Monitor attrition patterns and provide insights to support retention efforts 4. Data Integration & Automation • Connect and normalize data from JIRA, HR systems (Workday), Git repositories, and CI/CD tools • Build reliable ETL processes to ensure data freshness and accuracy • Document data sources, transformations, and metric calculations 5. Stakeholder Communication • Deliver weekly/monthly reports to engineering leadership • Translate complex data findings into clear, actionable recommendations • Support quarterly business reviews with relevant engineering metrics Qualifications (Required) • 3-5 years of experience in data analytics, business intelligence, or a related field • Strong SQL skills with experience querying complex, multi-source datasets • Proficiency in Python or R for data manipulation, analysis, and automation • Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar) • Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts) • Ability to work independently and manage multiple priorities in a fast-paced environment • Excellent communication skills—can translate data into clear insights for technical and non-technical audiences (Preferred) • Experience with Looker (LookML knowledge a plus) • Experience with engineering metrics (velocity, cycle time, DORA metrics) • Exposure to HR/people analytics (capacity planning, attrition analysis) • Familiarity with data pipeline tools (dbt, Airflow, or similar) • Experience working with distributed/global teams across multiple timezones • Background in ad tech, media, or high-growth technology companies • Operational Excellence – Systematic approach to problem-solving; attention to detail and data accuracy • Self-Direction – Proactively identifies gaps and opportunities without waiting to be asked • Global Mindset – Comfortable collaborating asynchronously with distributed teams across timezones • Clear Communication – Explains complex analysis simply; writes documentation others can follow • Continuous Improvement – Iterates on dashboards and processes based on user feedback

YOUR MISSION RESPONSIBILITIES True Anomaly is seeking a Re-Entry Vehicle Modeling & Test Engineer to support modeling and simulation efforts for re-entry vehicle ground tests, contributing to aerothermal, thermal, and structural analyses under hypersonic conditions. The engineer will assist in the planning and execution of ground test campaigns at facilities such as wind tunnels, arc jets, and other high-enthalpy environments, working under the guidance of senior engineers and test leadership. Responsibilities include developing and applying physics-based models to inform test design and predict test outcomes, as well as providing support during test execution through data monitoring and preliminary assessments. Following test activities, the engineer will perform data reduction, analysis, and correlation to compare experimental results with analytical and numerical predictions. The role also includes contributing to the design and analysis of re-entry vehicle systems, including aerodynamics, thermal protection systems, and materials behavior in hypersonic environments. Throughout these activities, the engineer will document methodologies, results, and findings in clear technical reports and presentations and collaborate closely with multidisciplinary teams across test, design, and systems engineering. QUALIFICATIONS Required Qualifications & Experience Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field, with a research focus in hypersonics, high-speed aerodynamics, or re-entry physics. Strong foundation in hypersonic flow physics, aerothermal heating, and heat transfer. Hands-on experience (academic or research-based) with modeling and simulation tools for fluid, thermal, or structural analysis. Experience analyzing and interpreting experimental or test data, including uncertainty assessment and model validation. Familiarity with ground test methods relevant to hypersonic or re-entry environments (e.g., wind tunnels, arc jets, plasma facilities). Ability to communicate technical results clearly in written reports and oral presentations. Desired Qualifications & Experience Dissertation or research experience involving hypersonic ground testing or test-to-model correlation. Experience with CFD, thermal analysis, or multiphysics simulation tools commonly used in hypersonics research. Exposure to thermal protection materials or structures for re-entry vehicles. Experience working in team-based research environments with experimental and computational components. Interest in transitioning academic research into applied aerospace programs. COMPENSATION Base Salary: Denver - $180,000 - $245,000, Long Beach - $190,000-$260,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual 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. RESPONSIBILITIES True Anomaly is seeking a Re-Entry Vehicle Modeling & Test Engineer to support modeling and simulation efforts for re-entry vehicle ground tests, contributing to aerothermal, thermal, and structural analyses under hypersonic conditions. The engineer will assist in the planning and execution of ground test campaigns at facilities such as wind tunnels, arc jets, and other high-enthalpy environments, working under the guidance of senior engineers and test leadership. Responsibilities include developing and applying physics-based models to inform test design and predict test outcomes, as well as providing support during test execution through data monitoring and preliminary assessments. Following test activities, the engineer will perform data reduction, analysis, and correlation to compare experimental results with analytical and numerical predictions. The role also includes contributing to the design and analysis of re-entry vehicle systems, including aerodynamics, thermal protection systems, and materials behavior in hypersonic environments. Throughout these activities, the engineer will document methodologies, results, and findings in clear technical reports and presentations and collaborate closely with multidisciplinary teams across test, design, and systems engineering. QUALIFICATIONS Required Qualifications & Experience Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field, with a research focus in hypersonics, high-speed aerodynamics, or re-entry physics. Strong foundation in hypersonic flow physics, aerothermal heating, and heat transfer. Hands-on experience (academic or research-based) with modeling and simulation tools for fluid, thermal, or structural analysis. Experience analyzing and interpreting experimental or test data, including uncertainty assessment and model validation. Familiarity with ground test methods relevant to hypersonic or re-entry environments (e.g., wind tunnels, arc jets, plasma facilities). Ability to communicate technical results clearly in written reports and oral presentations. Desired Qualifications & Experience Dissertation or research experience involving hypersonic ground testing or test-to-model correlation. Experience with CFD, thermal analysis, or multiphysics simulation tools commonly used in hypersonics research. Exposure to thermal protection materials or structures for re-entry vehicles. Experience working in team-based research environments with experimental and computational components. Interest in transitioning academic research into applied aerospace programs. COMPENSATION Base Salary: Denver - $180,000 - $245,000, Long Beach - $190,000 - $260,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual 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. ADDITIONAL REQUIREMENTS Work Location-Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site. Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands-the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Job Summary: We are seeking an Entry Level Production Technician to support the testing and validation of network appliances in a production environment. This role is ideal for recent graduates or early-career candidates with an academic background in Engineering who are looking to gain hands-on experience working with networking hardware, test procedures, and manufacturing processes. The technician will perform low-level functional testing, follow detailed work instructions, and help ensure product quality prior to release. Responsibilities: Perform low-level functional and basic network testing on network appliances and related hardware Execute test procedures according to established work instructions, test plans, and quality standards Set up test environments, including cabling, power, and basic network configurations Identify, document, and report test failures, defects, and irregularities to engineering or quality teams Assist with troubleshooting hardware and basic firmware or configuration issues under guidance Record test results accurately in tracking systems, logs, or manufacturing databases Verify units meet quality, performance, and configuration requirements prior to shipment Follow ESD, safety, and production floor procedures at all times Support continuous improvement efforts by providing feedback on test processes and documentation Collaborate with Production, Quality, and Engineering teams as needed $17 - $18 an hour

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

Position at Parts Town See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks Parts Town Pride - check out our virtual tour and culture! Quarterly profit-sharing bonus Hybrid work schedule Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance The Data Engineer- Data Products & Delivery will specialize in turning raw data into business-ready products within GCP. They will design and optimize data models, marts, and semantic layers in BigQuery, enabling analytics, BI, and ML use cases across the enterprise. You will also support downstream systems and APIs that deliver trusted data for operational and AI-driven processes. You will play a foundational role in shaping this future - building the pipelines, products, and platforms that power the next generation of digital distribution. A Typical Day Build silver/gold layers in BigQuery, transforming raw data into clean, business-ready models. Design semantic layers using Looker or dbt for consistent business metrics Develop data marts and star schemas optimized for analytics and self-service BI Build APIs and services for data delivery (Cloud Functions, Cloud Run) Partner with analysts, data scientists, and ML engineers to ensure data & AI readiness and support advanced modeling Collaborate with the Data Governance team to embed stewardship, lineage, and metadata into Dataplex and other MDM tooling Support real-time analytics using BigQuery streaming and Pub/Sub as needed. Optimize query performance and cost efficiency in BigQuery Drive adoption of AI/automation by ensuring data models are accessible for predictive and agentic use cases To Land This Opportunity You have 4+ years of experience in data engineering or BI-focused data modeling You have hands-on expertise in BigQuery (partitioning, clustering, performance tuning, cost management) You have strong knowledge of dbt, Looker, and SQL for transformation and semantic modeling You obtain experience with Cloud Functions, Cloud Run, and APIs for data delivery You're familiar with Pub/Sub and BigQuery streaming for real-time use cases You have exposure to ML feature engineering in Vertex AI or similar platforms a plus You have a strong understanding of data governance frameworks, Dataplex, and metadata management You're an all-star communicator and are proficient in English (both written and verbal) You have a quality, high speed internet connection at home About Your Future Team Our IT team's favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they'll hear you out on whether Dunkin or Starbucks gets your vote). At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $97,628.20- 131,752.87 which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: This role bridges business strategy, data governance, and technology delivery, ensuring our advisor platform has accurate, governed, and high-quality participant and party data across systems. The ideal candidate combines product ownership expertise, data governance acumen, and technical literacy, enabling them to translate business needs into scalable, governed data solutions that power client and advisor experiences. Responsibilities: Own the vision, strategy, and roadmap for Participant/Party SOR capabilities and integrations across the advisor platform. Collaborate with business, data, and technology stakeholders to ensure alignment on goals, requirements, and governance principles. Serve as liaison to Commonwealth and future M&A integration teams for metadata documentation, data quality, and lineage validation. Write and manage epics, stories, and acceptance criteria in Jira, ensuring traceability between business and technical requirements. Define and maintain data governance standards, including quality rules, scorecards, and SOR documentation in Confluence. Oversee data profiling, lineage analysis, and validation to ensure integrity across source and target systems. Lead and mentor team members in agile practices, sprint planning, and continuous improvement. Monitor and communicate project progress, risks, and dependencies, driving resolution and stakeholder transparency. Advocate for customer-centric, data-driven decision-making and continuous improvement of data quality and usability. Requirements: Bachelor's degree in related field (advanced degree preferred). Minimum of 7 years in data-centric product ownership, data management, or governance roles within financial services or fintech. Minimum of 5 plus year experience with SQL, data modeling (star/snowflake), and data governance tools. Minimum of 5 plus years experience translating complex data concepts into business value and vice versa. What are we looking for? We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Preferred Skills: Experience with AWS, Snowflake, and data pipeline transformations. Background in wealth management or financial advisory services. Familiarity with API-based & Kafka integrations, and CRM data flows. Proficiency in Tableau, Power BI or other visualization tools. Proven ability to mentor team members and drive a culture of collaboration and governance excellence. Core Competencies Deep understanding of CRM party data architecture, data integration, and systems of record (SOR). Hands-on experience in agile delivery, Jira, and Confluence. Strong analytical, communication, and stakeholder management skills. Experience in Product Ownership, Analytical Thinking & Problem Solving, Communication & Leadership, and a Continuous Improvement Mindset Technical Acumen (SQL, Data Models, APIs) Pay Range: $109,270-$182,117/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for a data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases. This is a hybrid role based in our New York City headquarters. Responsibilities: Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies. Ingest and organize structured and unstructured data for widespread reuse across patterns. Implement mechanisms to ensure data quality, observability and governance best practices. Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments. Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies. Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Programming fluency with Python. Experience using version control and CI/CD tools, such as Github and Drone. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. REQ-018497 The annual base pay range for this role is between: $110,000-$130,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in Generative AI, you'll be working alongside talented colleagues, innovating and contributing to projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your contribution will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale and shape the future of the insurance industry, we'd love to hear from you. Who we are AIG is one of the leading global commercial and personal insurance organizations, with one of the most far-reaching property casualty networks. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As a Data Architect, you'll have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create an impact As a Data Architect, you will drive the development of AIG's data architecture and ontology frameworks, ensuring that our data systems are robust, scalable, and future-proof. You'll shape how data is modeled, integrated, and governed across the organization, helping business applications deliver faster with greater quality and compliance. Your role will be crucial in creating reusable enterprise information assets, and you will collaborate closely with solution architects, product owners, and engineering teams to deliver high-impact business outcomes. This is an opportunity to play a key role in ensuring data architecture supports innovation, compliance, and improved business performance. Your responsibilities include Creating and managing data models and ontologies for large-scale business applications across multiple geographies Assisting the design and integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards Documenting and continuously improving data architecture systems, while educating teams on data governance standards and best practices Collaborating with product owners, engineers, and the Data Governance team to ensure high data quality, security, and privacy compliance across business applications Monitoring market and industry trends in data architecture and applying them to enhance AIG's information lifecycle management and data integration processes What is needed to be successful Data modeling and data analysis experience: You bring expertise in creating complex data models, and have a proven track record of modeling with 3NF, as well as dimensional and Data Vault methodologies, as well as contributing to the data architecture strategy at an enterprise level Strong data analysis, data profiling and SQL skills You have experience with best practices in data governance, security and privacy in modeling and data architecture Strong knowledge of data technologies, data design practices and data integration Passion for integrity and clarity of data Experience with master and reference data management Experience across sub-functional data domain areas such as reporting, analysis, conceptualization and design of data assets across warehouses and marts You are passionate about using the latest technology for data innovation and are excited to use AI and LLM integration to innovate Experience (or certification) with data modeling tools, ETL tools, Snowflake, Dimensional Modeling, Data Vault modeling, ER modeling Experience (or certification) working with NoSQL databases like MongoDB, experience with XML / JSON Solid communication skills - verbal and written AGILE / Rally development experience or training required Experience with (or strong enthusiasm about) AI-driven solutions It would be nice if Experience in Data Warehousing Experience using Snowflake platform You have a good understanding of ontologies Experience with Palantir Foundry or similar tool is highly desired Experience in insurance or financial services is desired Ready to solve bigger problems? We would love to hear from you. Veterans are encouraged to apply. #LI-AIG #LI-CM1 #AI #GenAI #artificialintelligence #DataEngineering #DataMining At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

About Re:Build Manufacturing Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment. Who we are looking for The Data Engineer will focus on utilizing modern data technologies to operationalize and expand the enterprise Data Lake. This role centers on implementing efficient ingestion strategies, integrating diverse data sources, and ensuring data is structured for accessibility and analysis. The engineer will work across hybrid environments-on-prem and cloud-to automate data movement, validate data quality, and enable analytical teams to derive insights from trusted, well-organized datasets. This position requires hands-on technical depth in data ingestion and transformation, along with the analytical understanding needed to align data availability with business and reporting needs. PLEASE NOTE THE REQUIREMENTS BELOW Location: We are seeking candidates who currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas. Travel: This role requires quarterly travel to our downtown Los Angeles office. Re:Build's Compensation Philosophy Competitive Base Pay All Re:Build Employees are eligible for performance-based bonus All Re:Build Employees receive Re:Build incentive stock awards, annual Competitive, Comprehensive Benefits Plan. Opportunity Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate. Impactful role, and one in which you will enjoy considerable autonomy and variety. Investor-backed business to support growth. Financial rewards. Enormous learning experience and the opportunity to acquire additional responsibilities over time. What you get to do Data Design & Integration Co-design data interfaces and pipelines in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps. Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake. Data Modeling & Enablement Model curated data within the lake into data warehouse structures (e.g., star schemas, wide tables, semantic layers) optimized for business intelligence (BI), ad-hoc analytics, and key performance indicator (KPI) reporting. Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases. Data Governance & Quality Establish robust data observability and quality checks to ensure reliability and consistency. Apply governance, security, and compliance controls across the data lake and warehouse - including role-based access, encryption, auditing, and data retention - in alignment with applicable regulations. Operations & Continuous Improvement Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance. Work in accordance with The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering. What you bring to the Team 5 - 8+ years of proven experience building production-grade data systems with a strong understanding of cloud-based data lake architectures and data warehouses. Demonstrated expertise in designing and operating data pipelines (batch, streaming, CDC), including schema evolution, backfills, and performance tuning. Hands-on proficiency with Python and SQL, including experience with distributed processing frameworks (e.g., Apache Spark) and CI/CD for data workflows. Proven ability to design and implement ETL/ELT workflows and data modeling techniques (e.g., star schemas, wide tables, semantic models). Proficiency with cloud data platforms and services such as AWS, Databricks, and Snowflake, with a focus on scalability and reliability. Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and business intelligence data modeling. Understanding of data governance, lineage, and data quality frameworks to ensure reliability, accuracy, and compliance. Experience or strong interest in enabling AI/ML use cases (e.g., RAG/search datasets, embeddings, vector indexes). Bachelor's degree (BA/BS) in Computer Science, Data Science, Mathematics, Analytics, or a related quantitative field (or equivalent experience). Fluency in written and spoken English. Personal Attributes Brings enthusiasm, curiosity, and a consistently positive attitude. Leads by example - offering guidance, mentorship, and accountability on key technical decisions. Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions. Flexible and adaptable to shifting priorities, requirements, and emerging technologies. Communicates clearly and effectively, both in writing and verbally. Exceptionally organized and thrives in a fast-paced, dynamic environment. Strong analytical and problem-solving abilities with sharp attention to detail. Collaborative team player who works effectively across departments and levels of the organization. Must successfully complete a background check and provide reliable professional references. Compensation: Base salary range $135 - $200K, depending upon candidate qualifications. Additionally, you will have an annual cash bonus and long term incentive. The BIG payoff We are a company who is going to make a difference in the industries and the communities in which we choose to operate. Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company! We want to work with people that reflect the communities in which we operate Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: At MGM Resorts International, we're using data and AI to power personalized guest experiences at scale. We're hiring a Principal Data Scientist, Commercial Analytics to serve as a hands-on technical leader, building and deploying AI/ML models that drive personalization, customer analytics, and commercial performance across the enterprise. THE DAY-TO-DAY: Lead multiple large, complex data science initiatives with minimal supervision Design, develop, and deploy advanced AI/ML models supporting personalization and commercial analytics Perform hands-on data science work including data collection, mining, normalization, and feature engineering Develop predictive and statistical models, including hyper-parameter tuning and optimization Deploy, scale, and monitor machine learning models in production environments Partner closely with Engineering and Analytics teams to define data requirements and improve data pipelines Maintain and enhance CI/CD frameworks for data science and model orchestration Conduct A/B testing and test-and-learn experiments to optimize key business KPIs Evaluate model quality, monitor performance, and continuously improve outcomes Review peer code, write unit tests, and provide technical feedback on modeling and pipeline approaches Translate complex analytical insights into clear, audience-appropriate presentations for business and executive stakeholders Collaborate with Marketing, Product, Creative, Strategy, and Customer Engagement teams to drive measurable impact Support the interview process and technical evaluation of Data Scientist candidates THE IDEAL CANDIDATE: Bachelor's degree or higher required 8+ years of prior relevant experience Expert-level proficiency in Python, SQL, and modern ML frameworks (e.g., Spark, TensorFlow, Keras) Proven ability to deliver multiple complex projects simultaneously in cross-functional environments Strong problem-solving skills with a focus on root-cause analysis and practical solutions Excellent communication and collaboration skills, including presenting to non-technical audiences Experience building MVPs under tight timelines while maintaining high quality Background in hospitality, retail, or customer-centric industries preferred THE PERKS & BENEFITS: Prioritize your wellness, access programs crafted to nurture your mental and physical health. Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! Savor delicious meals for free in our employee dining room. Park with ease-whether you're on or off shift, it's free! From healthcare to financial support and generous time-off options, we've got you covered. Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11713 Are you ready to JOIN THE SHOW? Apply today!