Data engineer jobs in Orlando, FL

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. This position description does not represent a current opening but may be used to identify candidates with skills and experience for positions within Northrop Grumman that frequently become available. Candidates who express an interest may be considered for future positions at Northrop Grumman. Join the Northrop Grumman team to develop the next generation of software for the next generation of platforms. Support development and integration of the latest technologies - AI/ML, Quantum computing, cloud, and digital design - to impact future generation aircraft. Become part of the team that will give our war fighters the advantage over our adversaries. Bring your bold new ideas, and pioneering spirit to our team to invent the future and have some fun along the way. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Please read the following job description thoroughly to ensure you are the right fit for this role before applying. Northrop Grumman Aeronautics Systems has an opening for a Software Engineer or a Principal Software Engineer to join our team of qualified, diverse individuals within our software organization. This role can be located in Melbourne, FL , Oklahoma City, OK, San Diego, CA, or Palmdale, CA operating on our 9/80 schedule meaning you will get every other Friday off. The position has No Remote or Hybrid work available. In this role you will be supporting critical design, development, integration, and test of product support software using software engineering best practices and standards in support of the flight software team. The selected candidate will develop this software by implementing principles of Scaled Agile Framework (SAFE). Some Key Responsibilities could include: Designs, develops, documents, tests, and debugs applications software and systems that contain logical and mathematical solutions Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software Determines computer uses needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and control Ensures software standards are met Work to increase domain knowledge and key skills required by VMC developers Initiative to engage senior developers and the product lead early with any encountered technical challenges Develop software to meet documented requirements Work assigned defect reports in a timely fashion to support incremental product builds and releases Build a commitment to first-time software quality by developing code unit tests of developed software, and being equally meticulous in code peer reviews of other developers' software changes Monitor system performance, troubleshoot issues, and ensure high availability Maintain and troubleshoot networking components, including VLANs, firewalls, switches, and routers Install, configure, and maintain operating systems, software, servers, and hardware. Deploy, manage, and support virtualized environments (e.g. VMware, Hyper-V, or other hypervisors) Implement and manage core infrastructure services (e.g., DNS, DHCP, NAS, and Active Directory) Set up an overall Cloud-native Software Factory Manage and improve container orchestration and deployment strategies Support programs with integration and deployment automation in a cloud enabled environment Participate in software development in support of Research and Advanced Design programs Design, develop, and document software for mission planning solutions?? Collaborate with the Chief Architect and Lead Systems Engineer to build and test OMS tools, services, and bridges? Generate and present material to support internal and external customer briefings met Basic Qualifications: Software Engineer: Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 2 Years experience; OR a master's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 0 Years experience Principal Software Engineer: Bachelor's Degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 5 Years experience; OR a master's degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 3 Years experience; OR a PhD in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 1 Years experience Knowledge of Agile software development using C++ and/or Python in a Windows or Red Hat Enterprise Linux environment Your ability to obtain and/or transfer and maintain the final adjudicated government Secret clearance, and any program access(es) required for the position within a reasonable period of time, as determined by the company. Preferred Qualifications: Knowledge of VxWorks 7, VxWorks 6.9, BSP, DPIU or other RTOS OS (Green Hills) Knowledge of object-oriented design and software lifecycles Experience with version control software and configuration management processes Experience with debugging software Experience using source-control management tools Experience using defect-tracking tools Experience in Aerospace or Defense industry (development or test) AGILE process knowledge, AGILE training for Scrum Master and Product Owner Experience developing on a program that delivers periodic releases in a process-driven CMMI environment for a government customer Experience developing software in real-time, multi-threaded, rate-monotonic scheduling architecture Experience with requirements management tools (e.g. DOORS, Cameo) Python scripting knowledge CMAKE script knowledge Git source control knowledge and Atlassian Suite (Jira, BitBucket, etc) knowledge Experience developing C/C++ for real-time, flight critical systems Real time computer graphics and OpenGL or Vulkan. Knowledge of Stores Management System (SMS) Experience with HW/SW Integration Experience in software development to include any of the following: kernel mode, embedded, command and control, web applications, network applications, Open Mission Systems (OMS). Salary Range: $73,100.00 - $134,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. xevrcyc For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Roadway Design Engineer - Join Our Dynamic Team in Orlando! Are you an experienced roadway design engineer looking to make an impact on infrastructure projects? We are seeking a talented and motivated Roadway Design Engineer to join our team. If you have a passion for designing innovative transportation solutions and enjoy mentoring others, this opportunity is for you! Key Responsibilities: Design Excellence: Produce roadway and transportation designs for new construction and rehabilitation projects, ensuring they meet all client and regulatory standards. Project Management: Lead and manage project tasks, including schedule and budget oversight, and coordinate effectively with other team members. Client Collaboration: Attend client meetings, participate in proposals and presentations, and liaise with regulatory agencies to ensure project success. Mentorship: Manage, train, and mentor less experienced engineers, guiding them in the production of Plans, Specifications, and Estimates (PS&E). Business Development: Assist in local marketing efforts, such as proposal preparation, participating in professional chapter meetings, and attending municipal functions and meetings. What We're Looking For: Experience: 5-20+ years of experience in highway, interchange, and roadway design. Licensing: Must be a Licensed Professional Engineer (PE) familiar with FDOT Standards for Design. Technical Skills: Proficiency in MicroStation V8i software, Bentley InRoads/ORD, and AutoCAD Civil 3D. Experience in drainage design is preferred. Personal Qualities: Detail-oriented, a self-starter, and proficient in both verbal and written communication. Leadership: Ability to work independently, as part of a team, and manage small design groups and projects effectively. Why You'll Love Working Here: Professional Environment: Work in a supportive and collaborative professional environment where your contributions are valued. Competitive Compensation: Enjoy a competitive salary that reflects your experience and skills. Comprehensive Benefits: Access to a comprehensive benefits package, including health insurance and a 401(k) plan to help you plan for the future. Career Growth: Opportunities to grow and develop professionally through challenging projects and mentorship. Ready to Advance Your Career? If you are a skilled engineer looking to lead projects and drive innovation in roadway design, apply today! Join us and be part of a team where your expertise will help shape the future of transportation. We look forward to welcoming you to our team!

ONSITE Lead GenAI Full Stack Data Software Engineer in Winter Park FL area ***MUST have a U.S. Citizenship*** Delivers next generation AI data analytics and artificial intelligence (AI) capabilities for the ACS turnkey program. Primary responsibilities include: 1. Design and implement a scalable platform that enables advanced analytics and AI driven development acceleration. 2. Ensure data integrity, security, and compliance across all platform domains, incorporating archival, disaster recovery, and backup strategies. 3. Define and publish robust APIs that expose data and services to front end clients and third party consumers. 4. Develop responsive UI components using a modern React framework (e.g., Next.js, Shadcn UI Kit) to deliver dashboards, visualizations, and interactive data views. 5. Create and maintain CI/CD pipelines in GitLab for automated testing, linting, and deployment to both cloud based and air gapped environments. 6. Integrate third party services such as email/SMS notifications, and learning management standards (SCORM, xAPI, CMI5). 7. Write comprehensive unit, integration, and end to end tests to protect against regressions and maintain high code quality. 8. Document APIs, data models, and deployment procedures clearly to facilitate cross team collaboration. 9. Leverage AI (e.g., Claude, other LLMs) as a core development assistant to accelerate coding, refactoring, test generation, and design validation. MUST HAVE Basic Qualifications (BQs) - Minimum Requirements (select 3 5) MSCS/BSCS or related 4-year degree Experience (e.g. Aerospace Engineering with experience in software development). Experience ≥ 6 years delivering full stack software solutions on complex, Generative AI (GenAI) AI-based data intensive programs. AI Assisted Development Demonstrated use of LLMs (Claude preferred) to accelerate software creation and improve code quality. Version Control & CI/CD Experience with version control software, preferably GitLab (repos, merge requests, pipelines). Software Fundamentals Strong grasp of design patterns, automated testing, continuous integration, and code quality practices. Data Technologies Familiarity with relational databases, messaging services, REST APIs, and object storage. UI/UX Design Ability to design and implement responsive user interfaces and dashboards. Desired Skills (Nice to Have) 10. Agile methodology experience (Scrum, Kanban) and participation in cross functional Agile teams. 11. Advanced DevOps toolset knowledge (Ansible, Nexus, GitLab Runner, Harbor). 12. Proficiency in React, Next.js, Node.js, Shadcn UI Kit, and modern front end ecosystems. 13. Experience with Apache Superset/Trino for cross platform data querying and analytics. 14. Strong scripting abilities (PowerShell, Bash, Python). 15. Prior exposure to Turnkey training or learning architectures. 16. Experience with Kubernetes and cloud/air gapped deployment models 17. Experience with integrating email/SMS notifications 18. Experience with learning management standards (SCORM, xAPI, CMI5). Emphasis on Vision & AI Driven Design While specific language level skills are valuable, the most critical success factors are: 19. Domain expertise in building end to end full stack solutions that address data flow, security, archival, and disaster recovery concerns. 20. Strategic vision to design platforms that enable AI augmented development, ensuring that the solution remains adaptable as AI capabilities evolve. 21. Ability to leverage AI tools (Claude, generative code assistants) to enhance productivity, code quality, and architectural validation, reducing reliance on niche technical specialties.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills * 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion * Experience with a variety of GenAI models, tools, and concepts * 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) * 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub * 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline development and maintenance * Multiple years of shown experience and expertise using SQL and Python * Experience using containerization technologies such as Docker or Kubernetes * Knowledgeable on cloud architecture and product offerings, preferably AWS * Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms * Experience translating project scope and high-level requirements into technical data engineering tasks * Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes * Experience collaborating with multiple project teams in a fast-paced environment * Experience with defining and estimating level-of-effort data engineering activities * Experience with project and sprint planning * Ability to communicate technical concepts and solutions to non-technical team members * Experience designing and building data structures to support requirements * Preferred Qualifications * Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies * Experience defining GenAI architectures * Knowledgeable with Disney Parks attendance, reservations and/or products * Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 * Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience * Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** About The Walt Disney Company (Corporate): At Disney Corporate you can see how the businesses behind the Company's powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you'll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion Experience with a variety of GenAI models, tools, and concepts 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 Multiple years of experience with ELT/ETL data pipeline development and maintenance Multiple years of shown experience and expertise using SQL and Python Experience using containerization technologies such as Docker or Kubernetes Knowledgeable on cloud architecture and product offerings, preferably AWS Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms Experience translating project scope and high-level requirements into technical data engineering tasks Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes Experience collaborating with multiple project teams in a fast-paced environment Experience with defining and estimating level-of-effort data engineering activities Experience with project and sprint planning Ability to communicate technical concepts and solutions to non-technical team members Experience designing and building data structures to support requirements Preferred Qualifications Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies Experience defining GenAI architectures Knowledgeable with Disney Parks attendance, reservations and/or products Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** Job Posting Segment: Corporate Strategy Job Posting Primary Business: Decision Science & Integration Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-30

About the Role Florida Casselberry * Country: UNITED STATES OF AMERICA * State/Province/County: North Carolina * City: Charlotte Company Siemens Energy, Inc. Organization Gas Services Business Unit Central Full / Part time Full-time Experience Level Mid-level Professional A Snap Shot of your Day: Siemens Energy is looking for a highly motivated, skilled, data acquisition engineer with experience in testing data acquisition and instrumentation. A typical day could be a call from an internal customer (engineering) asking for help chasing down a problem with a gas turbine component at a site. They need to implement temperatures and dynamic pressures to determine what specific conditions are causing the part to fail. Options are reviewed along with equipment availability and cost. A plan is formulated. Equipment and personnel schedule test execution and collect data to help engineering evaluate the component. How You'll Make an Impact * Plan, develop, and prepare data acquisition equipment for data collection on gas turbine components. * Travel to field sites to support testing validation of gas turbines. * Ensure proper data collection and storage for all test campaigns. * Ensure overall success on testing projects on schedule, within budget, with quality. * Mentor staff in data acquisition techniques and trouble shooting. What You Bring * BS in engineering and/or work experience in a related field. * 5 + Experience in data acquisition techniques - static or dynamic pressures, vibrations, temperatures, acoustic sensors, tip clearance and/or other sensor applications. * Willingness to travel and work long hours in support of testing projects, including international short-term assignments. * Teamwork skills to help ensure our small site teams are effective, efficient, and fiscally responsible. * Project management skills to lead small testing projects. * Highly motivated, proactive, and self-directed. * Excellent interpersonal and communication skills. * Preferred experience in the gas turbine or aerospace industry. * U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers. About the Team Gas Services Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: ******************************************** Rewards * Career growth and development opportunities; supportive work culture * Company paid Health and wellness benefits * Paid Time Off and paid holidays * 401K savings plan with company match * Family building benefits * Parental leave ************************************ #LGTEN #ELECTRON Equal Employment Opportunity Statement Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. California Privacy Notice California residents have the right to receive additional notices about their personal information. Click here to read more.

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

Employment Type: FTE Level: Experienced/Sr. Level GENERAL DESCRIPTION & RESPONSIBILITIES As a Sr. Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices. Key Responsibilities: Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools. Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data. Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms. Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks. Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization. Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks. Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders. Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem. Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed. PLACEMENT CRITERIA & REQUIREMENTS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. DESIRED SKILLS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. NON-TECHNICAL SKILLS Communication Clear and effective verbal and written communication for both technical and non-technical audiences Confident presentation skills, including the ability to explain complex concepts to senior clients. Teamwork & Leadership Ability to mentor, coach, and lead cross-functional teams in collaborative environments Ability to foster a problem-solving culture and contribute meaningfully to team objectives. Client Engagement Strong sense of responsibility, accountability, and trust-building with client stakeholders. Ability to manage client expectations regarding scope, timeline, and cost. Adaptability & Learning Growth mindset and willingness to continuously improve skills and adopt new technologies. Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts. Organization & Initiative Results-oriented approach with a reputation for getting things done. Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks. CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.

Job DescriptionSalary: At Frontline Insurance, we are on a mission to Make Things Better, and our Data Engineer plays a pivotal role in achieving this vision. We strive to provide high quality service and proactive solutions to all our customers to ensure that we are making things better for each one. What makes us different? At Frontline Insurance, our core values Integrity, Patriotism, Family, and Creativity are at the heart of everything we do. Were committed to making a difference and achieving remarkable things together. If youre looking for a role, as a Data Engineer, where you can make a meaningful impact and grow your career, your next adventure starts here! Our Data Engineer enjoys robust benefits: Hybrid work schedule! Health & Wellness: Company-sponsored Medical, Dental, Vision, Life, and Disability Insurance (Short-Term and Long-Term). Financial Security: 401k Retirement Plan with a generous 9% match Work-Life Balance: Four weeks of PTO and Pet Insurance for your furry family members. What you can expect as a Data Engineer: Identify, analyze, organizing, and storing raw data from various mediums (RDBMS, flat files, APIs, etc.) Develop, test, and deploy scalable data pipelines for critical business needs Evaluate, maintain, and enhance current data pipelines and architecture Maintaining code repositories adhering to proper branching flows Building and maintaining CI/CD framework and architecture Deploying and maintaining testing frameworks/suites for data pipelines and CI Developing, deploying, and maintaining APIs and endpoints for analyst and system use Deploying and maintenance of Kubernetes cluster(s) Peer code reviews Collaborate with business, development, and analytics teams to gather requirements Participate in data governance and stewardship program to enhance control and dissemination of data with best practices Develop and maintain technical documentation for pipeline architecture and tooling What we are looking for as a Data Engineer: Strong object-oriented/functional programming skills Python/Scala programming experience Proficient with ANSI SQL skills Familiarity with orchestration tools (Dagster preferred), Docker/Podman, CI/CD tools, and version control (git) Familiar and/or experience with lightweight directory access Experience and/or knowledge of Agile Development methodologies and SDLC Excellent problem-solving and analytical skills Proven ability to extract data from a variety of sources (Relational/Non-Relational Databases, APIs, FTP/SFTP, etc.) Comfortable using cloud technology platforms (AWS preferred) Proven abilities to take initiative and be innovative College Degree and/or 3 - 5 years related experience. Why work for Frontline Insurance? At Frontline Insurance, were more than just a workplace were a community of innovators, problem solvers, and dedicated professionals committed to our core values:Integrity, Patriotism, Family, and Creativity. We provide a collaborative, inclusive, and growth-oriented work environment where every team member can thrive. Frontline Insurance is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. 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.

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions. You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management. -Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis. -Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply. TRAVEL: At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Join the Northrop Grumman team to develop the next generation of software for the next generation of platforms. Support development and integration of the latest technologies - AI/ML, Quantum computing, cloud, and digital design - to impact future generation aircraft. Northrop Grumman Aeronautics Systems has an opening for a Software Engineer or a Principal Software Engineer to join our team of qualified, diverse individuals within our software organization. The position has No Remote or Hybrid work available. In this role you will be supporting critical design, development, integration, and test of product support software using software engineering best practices and standards in support of the flight software team. The selected candidate will develop this software by implementing principles of Scaled Agile Framework (SAFE). Designs, develops, documents, tests, and debugs applications software and systems that contain logical and mathematical solutions Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software Determines computer uses needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and control Ensures software standards are met Develop software to meet documented requirements Build a commitment to first-time software quality by developing code unit tests of developed software, and being equally meticulous in code peer reviews of other developers' software changes Monitor system performance, troubleshoot issues, and ensure high availability Maintain and troubleshoot networking components, including VLANs, firewalls, switches, and routers Install, configure, and maintain operating systems, software, servers, and hardware. VMware, Hyper-V, or other hypervisors) Set up an overall Cloud-native Software Factory Manage and improve container orchestration and deployment strategies Support programs with integration and deployment automation in a cloud enabled environment Participate in software development in support of Research and Advanced Design programs Design, develop, and document software for mission planning solutions?? Collaborate with the Chief Architect and Lead Systems Engineer to build and test OMS tools, services, and bridges? Generate and present material to support internal and external customer briefings met Software Engineer: Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 2 Years experience; Principal Software Engineer: Bachelor's Degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 5 Years experience; OR a PhD in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university with 1 Years experience Knowledge of Agile software development using C++ and/or Python in a Windows or Red Hat Enterprise Linux environment Your ability to obtain and/or transfer and maintain the final adjudicated government Secret clearance, and any program access(es) required for the position within a reasonable period of time, as determined by the company. Knowledge of object-oriented design and software lifecycles Experience with version control software and configuration management processes Experience with debugging software AGILE process knowledge, AGILE training for Scrum Master and Product Owner Experience developing on a program that delivers periodic releases in a process-driven CMMI environment for a government customer Experience developing software in real-time, multi-threaded, rate-monotonic scheduling architecture Python scripting knowledge Experience developing C/C++ for real-time, flight critical systems Real time computer graphics and OpenGL or Vulkan. Experience in software development to include any of the following: kernel mode, embedded, command and control, web applications, network applications, Open Mission Systems (OMS). Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. xevrcyc Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. **What You Will Do** You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. **Required Qualifications & Skills** + 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion + Experience with a variety of GenAI models, tools, and concepts + 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) + 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub + 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 + Multiple years of experience with ELT/ETL data pipeline development and maintenance + Multiple years of shown experience and expertise using SQL and Python + Experience using containerization technologies such as Docker or Kubernetes + Knowledgeable on cloud architecture and product offerings, preferably AWS + Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms + Experience translating project scope and high-level requirements into technical data engineering tasks + Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes + Experience collaborating with multiple project teams in a fast-paced environment + Experience with defining and estimating level-of-effort data engineering activities + Experience with project and sprint planning + Ability to communicate technical concepts and solutions to non-technical team members + Experience designing and building data structures to support requirements **Preferred Qualifications** + Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies + Experience defining GenAI architectures + Knowledgeable with Disney Parks attendance, reservations and/or products + Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 + Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe **Education** + Bachelor's degree in computer science, Information Systems, Software, Electrical or ElectronicsEngineering, or comparable field of study and/or equivalent work experience + Master's degree preferred in computer science, Information Systems, Software, Electrical or ElectronicsEngineering, or comparable field of study and/or equivalent work experience \#DisneyTech \#DisneyAnalytics ********************** **Job ID:** 10132752 **Location:** Lake Buena Vista,Florida **Job Posting Company:** The Walt Disney Company (Corporate) The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.