Data engineer jobs in Loveland, CO - 1,090 jobs

Now Hiring: Systems Software Engineer II 📍 Denver , Colorado | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid Colorado driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

Be one of the Bedo 100 Albedo is making Very Low Earth Orbit (VLEO) mainstream, building the infrastructure to usher every satellite mission set into this new orbital domain. We build buses, integrated satellites, and turnkey missions for customers to thrive in VLEO, between 200 km - 400 km, where proximity compounds performance & drag self-cleans debris. As part of the first 100 employees at Albedo, you will have a big impact on Albedo's trajectory to proliferating VLEO - whether you're advancing hardware to increase satellite longevity, scaling production for large constellations, building next-gen flight and ground software to push performance, or enabling missions that matter for national security and our day-to-day life here on earth. How We Operate: Albedo takes a first-principles approach - in space and in business. We move with speed, take calculated risks, and learn quickly. We use AI regularly to create leverage in every discipline across the company. We work in-person at our Broomfield CO HQ to maximize team & company productivity. We work hard & with urgency to compound our first-mover advantage. Who We're Looking For: Builders who want to own outcomes, not tasks. Systems thinkers who balance precision with iteration while thinking about the big picture. Individuals who are energized by creating a category rather than competing in an existing one. You'll join a team that has already proven what others said wasn't feasible and is now scaling & upgrading our VLEO buses & payloads to serve mission sets across sensing, communications, and responsive operations. If you can feel the excitement running through your veins, apply to be one of the Bedo 100. Compensation and Benefits: Employee friendly equity compensation 4% direct matching 401k Health Insurance: 100% employee coverage & 75% dependent coverage Parental leave and childcare coverage Flexible vacation and sick time from day one 12 company holidays $100 monthly wellness benefit Relocation package if not based in Denver What You'll Do: Work directly with avionics hardware to develop reliable embedded Linux flight software. Support board bring-up and system integration alongside senior and staff engineers. Configure and maintain BSPs, device trees, bootloaders, and root filesystem builds (Yocto). Design, implement, and review Linux kernel drivers for FPGA IP and third-party FPGA cores. Extend existing kernel drivers to meet performance, reliability, and timing constraints. Debug low-level issues involving interrupts, DMA, memory-mapped I/O, and concurrency. Create and execute test plans covering kernel, system integration, and application workflows. Contribute to and review modern C++ (C++23) application-layer flight software. Participate in architecture discussions, code reviews, integration testing, and deployment workflows. Ensure flight software scales across runtime environments-from desktop faster-than-real-time, to processor-in-the-loop, to hardware-in-the-loop. Your Ideal Skills and Experience: Have strong fundamentals in embedded Linux, including kernel concepts and system-level debugging. Have hands-on experience with Yocto, Linux boot flows, device trees, and root filesystem configuration. Are fluent in C/C++, comfortable with Python, and have working knowledge of CMake (bonus points for Rust). Understand how drivers interact with hardware through interrupts, DMA, and memory-mapped I/O. Can read datasheets, trace problems across the stack, and methodically get to root cause. Use version control like Git without thinking twice (and yes, we use GitLab). Thrive on a tight-knit, cross-functional embedded team that values ownership, humility, and momentum. Are willing to step outside your comfort zone and tackle the problem that needs solving today. Familiarity with OMG DDS is a plus. Even if you feel like you don't meet all of the qualifications, we encourage you to apply! Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other marginalized people tend to only apply when they meet 100% of the qualifications. > $145,508 - $168,000 a year Salary range aligns with the company's compensation structure, which compensates at market rates of 50th percentile salary and 75th percentile equity. The company uses market data provided by Pave to determine percentiles. The final compensation package is subject to change if the candidate's experience and company need drive a different job level than originally slated for the position. Albedo does not accept agency resumes. Please do not forward resumes to our careers email or to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Full-Time On-Site Work Environment: This position requires regular in-person engagement by working on-site full-time. Travel to other possible non-Albedo locations may be required. Relocation: Relocation for this position is available Working Conditions: Work is performed in an office environment, laboratory, cleanroom, or production floor. US CITIZENSHIP IS REQUIRED #LI-Onsite Albedo does not accept agency resumes. Please do not forward resumes to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Additional Requirements: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All persons hired will be required to be a U.S. citizen, a lawful permanent resident of the U.S., or 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. Equal Opportunity Employer/Veterans/Disabled: Albedo is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Relocation: Relocation for this position is available US CITIZENSHIP IS REQUIRED #LI-Onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards. This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences! Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks). Build, curate, and lead evaluation datasets and benchmarks. Advanced proficiency in at least one scripting language, preferably Python. Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality. Conduct failure analysis and uncover edge cases to improve model robustness. Contribute to our tools and infrastructure to automate and scale evaluation processes. Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks. Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques. Experience evaluating generative models (e.g., text generation, image generation). Prior contributions to ML benchmarks or public evaluations. Strong interpersonal skills. BS and a minimum of 3 years relevant industry experience Strong experience in evaluating supervised, unsupervised, and deep learning models. Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms. Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges. Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow. Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.). Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

ERP Advisors Group(Lakewood, CO) Is expanding fast - Looking for a dedicated ERP Data Migration Consultant (ETL/SQL Specialist) Why you should join our group: ERP Advisors Group is seeking a technical, professional, and friendly ERP Data Migration Consultant to join our mission to become the world's most trusted ERP Advisory firm! Amazing expansion opportunity. Supportive team culture. Use and learn next generation technology tools. Competitive salary & benefits package. Custom training program. Work with some of the most exciting mid-sized clients on the planet. Learn about multiple industries and software. Offered salary and benefits package: Depending on your experience and performance record, we offer a yearly salary of: ERP Data Migration Consultant with a minimum of 2 years relevant experience - $80,000 to $110,000 ERP Data Migration Senior Consultant with a minimum of 4 years relevant experience - $110,000 to $150,000+ Additionally, we offer: Clear career path and growth opportunities. On the job industry and methodology training. Certification program. Annual Performance Review. Maternity/Paternity Leave. CO only: Up to 48 hours of Paid Sick and Safe time. 401(k) with up to 4% company match (100% vested). 401(k) Profit Sharing - 5-year vesting schedule. (After 30 days) Paid holidays. Employer-sponsored medical insurance. Company-sponsored Life and ADD insurance. Voluntary Vision, Dental, Accident, and additional life insurance. (After 90 Days) Accrue up to 120 hours of PTO per year with a payout at the end of the year. Two tiers of weekly production bonuses for billable hours. About our company: ERP Advisors Group is one of the country's top independent enterprise software advisory firms. We advise our clients through some of their most challenging transformation projects and ensure they are always successful. We are a two-time Inc. 5000 fastest-growing privately held company and we are continuing to grow! Our Location: 390 Union Boulevard Suite 540, Lakewood CO 80228 ************************ Your schedule: Hybrid, Monday to Friday, 8:00 am - 5 pm. NOTE: This is a full-time, client-facing role. You must have a strong familiarity with SQL, excellent communication skills, a willingness to learn, and complete a high volume of tasks. Your mission & responsibilities as an ERP Data Migration Consultant: We're seeking an ERP Data Migration Consultant experienced in ETL scripting, data mapping, cleansing, and loading legacy data into ERP systems such as NetSuite, Microsoft Dynamics, Acumatica, etc. Some of the ERP Data Migration Consultant's duties and responsibilities include but are not limited to: Develop and maintain ETL (Extract, Transform, Load) migration scripts to move and prepare data between systems. Access client source legacy systems and extract original data into a structured database format. Map extracted client source data to the target file formats. Clean and validate extracted data using advanced SQL queries to ensure data accuracy. Create SQL Stored Procedures to convert client's legacy data for their new software. Document, optimize, and execute data transformation procedures. Automate data tasks using Microsoft SQL Server scripting. Load data into new client systems as needed. Liaise between Accounting, Operations, and IT teams to align technical data processes with business goals. Deliver high-quality, results-driven data projects. Collaborate with the EAG Data Migration team and the client team on a regular basis. Communicate with EAG consulting team to ensure an organized and successful project. Required experience and qualifications: Bachelor's degree in Business Administration, Information Technology, Computer Information Systems, or related field. Two to four years experience working with SQL Server or MySQL. Experience working with Microsoft Access and other application development frameworks. Exposure to prevalent ERP software packages including NetSuite, Microsoft, Acumatica, Infor, Epicor, Sage, Oracle, Workday, etc. required. Familiarity with Accounting, Manufacturing, Distribution, and Construction business processes and software required. Advanced level of experience with Microsoft Office applications (Excel, Word, PowerPoint). Maintains and demonstrates a professional yet approachable demeanor. Fluent in English, both written and verbal. Authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Thank you for submitting your application online.

Apply Data Scientist Department of Agriculture Food Safety and Inspection Service Data Analytics and Innovation Staff Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Summary This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Overview Help Accepting applications Open & closing dates 01/14/2026 to 01/21/2026 Salary $106,437 to - $138,370 per year Salary will be determined based on duty station of selectee. Rates shown represent the Rest of the US locality pay table. Pay scale & grade GS 13 Locations 3 vacancies in the following locations: Fort Collins, CO Raleigh, NC Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1529 Mathematical Statistics * 1550 Computer Science * 1560 Data Science Series Supervisory status No Security clearance Other Drug test No Position sensitivity and risk Moderate Risk (MR) Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number FSIS-26-DHA-12859840-DW Control number 854327700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency Applications will be accepted from any U.S. citizen. Direct Hire Authority will be used to fill these positions. Veterans' Preference and traditional rating and ranking of applicants does not apply to this vacancy. Duties Help * Perform data cleaning and visualization. * Perform trend analysis and algorithm development. * Develop new prescriptive analytics used in decision making. * Present alternate solutions to analytics and future concepts. * Develop statistical models and machine learning models. * Analyze outputs from analyses. * Perform quality checks on model and analysis output. * Develop recommendations for data integration. * Develop testing hypothesis. Requirements Help Conditions of employment * You must be a US Citizen or US National. * Males born after 12/31/1959 must be Selective Service registered or exempt. * Subject to satisfactory adjudication of background investigation and/or fingerprint check. * Successful completion of one-year probationary period, unless previously served. Refer to the Next Steps section for more information. * Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution. * Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit ************************** * False statements or responses on a resume or application can jeopardize employment and may be grounds for disciplinary action, including removal from Federal service. * If you are selected, you may need to complete a Declaration for Federal Employment (OF-306) prior to being appointed to determine suitability for Federal employment and to authorize a background investigation. Qualifications Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and education, as defined below. For the GS-13 grade level: Applicants must have one year of specialized experience (equivalent to the GS-12 grade level) that demonstrates: * Using Python or R to extract, manipulate, and integrate information from relational databases. * Creating interactive reports or dashboards using programming languages and frameworks (e.g., Python, R, Qlik, or similar) * Leading technical initiatives, including planning, coding, testing, and deploying solutions that support organizational data and reporting needs. * Developing oral and written presentations communicating complex and technical analyses to inform, influence, and persuade a variety of audiences. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education Mathematical Statistics Series 1529 Basic Requirements: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. or Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Evaluation of Education: Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading. Click here for more information on this series: OPM Mathematical Statistics Series 1529 Computer Science Series 1550 Series Definition: This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences. Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable. Click here for more information on this series: OPM Computer Science Series 1550 Data Science Series 1560 Basic Requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Click here for more information on this series: OPM Data Science Series 1560 Additional information Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100. Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact: USDA's TARGET Center at ************ (voice and TDD). It is the policy of the Government not to deny employment simply because an individual has been unemployed or has had financial difficulties that have arisen through no fault of their own. To see more information visit CHCO Council. This announcement may be used to fill additional like vacancies should any occur in the announced duty location(s). Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. Your application, including the assessment questionnaire, will be reviewed to determine if you meet the qualification requirements and to determine if your resume supports the answers provided to the job-specific questions. Your resume must clearly support your responses to the questions addressing experience and education relevant to this position. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics): * Technical Competence * Analytical Programming * Manages and Organizes Information * Oral Communication Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your score may be adjusted to more accurately reflect your abilities, or you may be found ineligible. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service. Clicking the link below will present a preview of the application form; i.e. the online questionnaire. The application form link below will only provide a preview and does not initiate the application process. To initiate the online application process, click the "Apply" button to the right. To view the application form, visit: ******************************************************** Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330. How to Apply Help Please read the entire announcement and all instructions before you begin. You must complete this application process and submit all required documents electronically by 11:59p.m. Eastern Time (ET) on the closing date of this announcement. Applying online is highly encouraged. We are available to assist you during business hours (normally 8:00a.m. - 4:00p.m., Monday - Friday). If applying online poses a hardship, contact the Agency Contact listed below well before the closing date for an alternate method. All hardship application packages must be complete and submitted no later than noon ET on the closing date of the announcement to be entered into the system prior to its closing. Resumes must not exceed two pages. This agency provides reasonable accommodation to applicants with disabilities on a case-by-case basis; contact the Agency Contact to request this. Alternative Methods for Applying: If you are unable to apply using the internet, please fax your request for an application package along with your name and mailing address to HR: ************** To begin, click "Apply" and follow the instructions to complete the Assessment Questionnaire and attach your resume and all required documents. Please verify that documents you are uploading from USAJOBs transfer into the Agency's staffing system as there is a limitation to the number of documents that can be transferred. However, once in the Agency's staffing system, you will have the opportunity to upload additional documents. Uploaded documents must be less than 5MB and in one of the following document formats: GIF, JPG, JPEG, PNG, RTF, PDF, TXT or Word (DOC or DOCX). Do not upload Adobe Portfolio documents because they are not viewable. Please ensure your resume does not exceed two pages. Applicants who submit a resume that exceeds two pages will be removed from consideration. Our office cannot be responsible for incompatible software, your system failure, etc. Agency contact information Doug Welder Phone ************ Email *********************** Address Food Safety and Inspection Service 1400 Independence Ave SW Washington, DC 20250 US Next steps Your application will be reviewed to verify that you meet the eligibility and qualification requirements for the position prior to issuing referral lists to the selecting official. If further evaluation or interviews are required, you will be contacted. Log in to your USAJOBS account to check your application status. You must choose to turn on email notifications in your USAJOBS profile if you want to receive important email notifications that may impact your applicant experience (e.g. If you start an application and do not submit it prior to the closing date, USAJOBS will send an email reminder that the closing date is approaching and your application is in an incomplete status). Multiple positions may be filled from this announcement. As a condition of employment for accepting this position, you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: your performance and conduct; the needs and interests of the agency; whether your continued employment would advance organizational goals of the agency or the Government; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your probationary period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. Under the Fair Chance Act, agencies are not allowed to request information about an applicant's criminal history until a conditional offer of employment has been made, except as allowed for access to classified information; assignment to national security duties or positions; acceptance or retention in the armed forces; or recruitment of a Federal law enforcement officer. An applicant may submit a complaint or any other information related to an organization's alleged noncompliance with the Fair Chance Act. The complaint must be submitted within 30 calendar days of the date of the alleged noncompliance. To make a Fair Chance Act inquiry or complaint, send an email with the appropriate information to *****************, subject line: Fair Chance Act. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330.

Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Salary Range: $61,244.98 - $134,738.95 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Why This Role Matters We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products. What You'll Do AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities. Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk. Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning. Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance. Communication: Translate technical findings into actionable insights for business leaders and compliance teams. Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Qualifications What You Bring Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments. Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance. Experience with cloud platforms such as Snowflake for ML deployment. Preferred Qualifications Experience in fraud analytics, risk scoring, or payment decision models. Understanding of MLOps and continuous model monitoring in regulated environments. Familiarity with financial transaction data, open banking APIs, or real-time payments systems. Experience developing LLM-powered assistants or AI copilots for financial operations or support. Strong data storytelling and visualization skills (Tableau preferred).

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. 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, parental leave, 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, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. 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. We will accept applications until 1/31/2026 or until the positions are filled.

SonSoft is an IT Staffing and consulting firm and duly organized under the laws of the Commonwealth of Georgia. We are growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description :- Experience in Data stage 11.3 / 11.5 both Admin and development. Personal:- Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal and written communication skills. Qualifications Basic Qualifications :- 7+ yrs. of progressive IT experience 5+ yrs . experience in overall project delivery including solution design, implementation, system integration, testing, and delivery 5+ yrs. experience with Data stage 11.3/11.5 development Must have a full understanding of Data stage 11.3 / 11.5 both Admin and development Advanced data modeling skills Experience with conceptual, logical, and physical data modeling and data architecture Strong SQL Skills. Understanding the Data lifecycle Exposure to Appliance modeling is advantage Demonstrated ability to communicate with business users in non-technical language Demonstrated problem solving skills Demonstrated ability working with ETL tools Demonstrated ability architecting an ETL solution Demonstrated presentation and communication skills Ability to effectively prioritize and manage multiple concurrent projects Ability to work in multiple environments and be able to prioritize and multi-task with a consistent track record of meeting deadlines while optimizing client satisfaction Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time Permanent job opportunity for you. Only US Citizen, Green Card Holder, TN Visa, GC-EAD , H4-EAD & L2-EAD can apply. No OPT-EAD & H1B Consultants please. Please mention your Visa Status in your email or resume .

Michael Baker International is seeking a highly skilled Lead Date Engineer with deep AI/ML expertise to architect, build, and scale intelligent, data-driven applications across our enterprise ecosystem. As the Lead Data Engineer, you will architect, build, and optimize enterprise-grade data platforms that power AI/ML products, analytics, and automation initiatives. You will lead data engineers, partner with data scientists, and own the roadmap for scalable data systems that enable real-time insights and model-driven decision-making. RESPONSIBILITIES Data Architecture & Leadership Lead design of scalable data pipelines, ingestion frameworks, and distributed processing systems. Architect enterprise data lake/lakehouse/warehouse solutions (Databricks, Snowflake, BigQuery, Redshift). Guide data engineers on best practices, code quality, and scalable data engineering patterns. Own end-to-end execution of data engineering initiatives, including estimation, delivery, and performance optimization. AI/ML Engineering Enablement Build ML-ready data environments, feature stores, and training pipelines. Partner with data scientists to productionize ML models with CI/CD/CT. Implement model monitoring, data quality, feature versioning, and automated retraining. Support real-time and batch feature engineering and inference pipelines. Data Engineering Excellence Develop scalable ELT/ETL pipelines using Spark, PySpark, SQL, Airflow, DBT, Kafka, Kinesis. Build high-quality data models (dimensional, data vault, lakehouse). Implement observability, lineage, and data quality frameworks across all pipelines. MLOps & Cloud Engineering Architect MLOps pipelines using Docker, Kubernetes, Terraform, MLflow, SageMaker, or Vertex AI. Optimize cloud cost, performance, and reliability for large-scale AI/ML workloads. Drive standards for cloud data infrastructure and reusable data engineering components. Governance, Security & Compliance Ensure compliance with SOC2, GDPR, PII standards based on company needs. Implement secure data-sharing, encryption, IAM, tokenization, and access patterns. Maintain metadata, cataloging, governance processes (Collibra, Alation, Unity Catalog). Innovation & GenAI Readiness Champion emerging technologies including GenAI, vector databases, and LLM-based pipelines. Drive innovation in AI/ML data engineering and real-time analytics. Team Development and Stakeholder Engagement Lead and mentor data engineering teams. Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions. Translate business requirements into scalable data strategies. PROFESSIONAL REQUIREMENTS Bachelor's degree in Computer Science or related field, or similar, or equivalent experience. Any Data or AI/ML related certifications. 6-12+ years of data engineering experience with 2-5+ years in a lead role. Strong programming in Python, SQL; deep expertise in Spark/Databricks. Experience building ML-ready architectures, feature stores, and MLOps pipelines. Expertise with cloud platforms (AWS, Azure, or GCP). Proven ability to lead engineering teams, mentor junior engineers, and drive architectural decisions. PREFERRED QUALIFICATIONS Experience implementing vector databases (Pinecone, FAISS, Milvus) and LLM-based pipelines including RAG. Background in real-time analytics and low-latency ML inference. Experience in highly regulated industries (healthcare, fintech, retail, AEC, manufacturing). Ensure quality, compliance, and security across all data platforms while implementing observability, lineage, and governance frameworks. Define and execute enterprise data strategies aligned with AI/ML initiatives while championing best practices in data engineering, MLOps, and cloud optimization. COMPENSATION The approximate compensation range for this position is $130,000 to $170,000. This compensation range is a good-faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location. BENEFITS We offer a comprehensive benefits package including: Medical, dental, vision insurance 401 (k) Retirement Plan Health Savings Account (HSA) Flexible Spending Account (FSA) Life, AD&D, short-term, and long-term disability Professional and personal development Generous paid time off Commuter and wellness benefits #LI-KR2 #LI-HYBRID

+ AI Overviews leverages cutting-edge language models and integrates them with our core search ranking systems to deliver a new level of search experience. + It goes beyond traditional search results by providing synthesized summaries, along with relevant links to high-quality webpages, helping users quickly grasp key information and dive deeper into areas of interest. + Our team sits within the operational core of the AI Overviews program, partnering with supplier and full time teams to scale high quality data curation (writing and evaluations) for model training. **Responsibilities:** + You'll play a key role in establishing scalable processes for creating and evaluating high-quality training data, directly impacting the quality of AI Overviews. This involves collaborating with engineers, UX designers, and technical writers to define best practices, ensure consistency, and ultimately scale our UX capabilities from a data quality standpoint. + Create and curate "platinum sets" of high-quality training data to refine our language models, enhancing their ability to generate informative and engaging summaries. + Work with Eng, UX and Tech Writers to understand how to scale the development of Platinum sets/quality assessments for data curation. + Maintain consistency and quality across a large scale data curation program: Adhere to established style guidelines and ensure the overall quality and coherence of the generated datasets. + Develop frameworks: for creating platinum/calibration and Golden sets. **Experience:** + 3-5 years of experience with Data Science in Tech or related fields. + Strong communication and interpersonal skills: Ability to effectively collaborate with engineers, UX designers, and technical writers to understand their needs and translate them into data requirements. + Ability to clearly document processes and guidelines: This ensures that data curation practices are well-defined, consistent, and easily understood by others. **Desired Skills:** + Understanding of natural language processing (NLP): Familiarity with basic NLP concepts and techniques can be helpful for understanding how language models work and how data quality impacts their performance. **Education:** + Bachelor's degree in Communications, Journalism, English or related field of study. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. The Senior Software Developer will code and develop software applications. The Senior Developer will be responsible for working with stakeholders to elicit project requirements, recommend strategies and collaborate with team members, as needed, to ensure the most complex projects meet requirements and are completed on time. In addition, the Senior Developer will help establish standards, guidelines and create efficiencies in processes. Essential Functions Works as part of a software development team in the design of software applications. Build products out further by improving the performance of our codebase and handle scaling issues to accommodate user growth as well as write thorough tests to ensure code stability requirements. Integrate existing software into new or modify systems or operating environments. Review code, identify system design trade-offs and recommend product revisions or enhancements based on user feedback. Optimize sites for efficiency and scale. Develop and maintain documentation and/or user manuals. Contribute to software development standards and best practices for the company. Provide mentoring to less experienced developers. Perform related duties as requested. Essential Knowledge, Skills & Abilities Able to effectively communicate both verbally and in writing to accurately convey messages. Ability to prioritize and work with minimal supervision. Advanced coding skills in .NET/C#, with a focus on cloud solutions (Azure preferred). Ability to solve complex problems, use analytical skills and implement solutions. Advanced knowledge of agile development practices and scrum methodologies. Ability to analyze and interpret technical documentation such as software requirements, detailed designs, flow charts and database schemas. Commitment and ability to cultivate a diverse and inclusive work environment. Education BS in computer science or related field preferred; the equivalent amount of relevant experience will be considered in lieu. Experience 6+ years of experience in software/.net development. Mortgage servicing and print/mail industry experience is preferred. Compensation and Benefits Covius offers an extensive benefits package for all employees, including medical, dental, vision and 401(k)! Compensation: $100,800 to $126,000 annualized with a 15% AIP opportunity Application Guidelines: For best consideration, please submit your resume and application materials as soon as possible. Review of applications will begin immediately. Working Conditions Work is performed in climate controlled indoor administrative office setting. The noise level in the work environment is usually quiet to moderate, depending upon office or meeting location Physical Demands and Activities While performing the duties of this job, the employee is frequently required to communicate. The employee frequently is required to remain stationary. The employee is frequently required to move about the office, operate a computer and other office machinery, such as calculator, copy machine, and computer printer; rarely position self to maintain files; rarely moves boxes weighing up to 10 lbs. Close and distance observation required with ability to observe objects at close range in presence of glare or bright lighting (e.g., computer screen). Must possess the ability to communicate information and ideas so others will understand and have the ability to interact with external and internal stakeholders. Covius is committed to equal opportunity in all employment practices to all qualified applicants and employees without regard to race, color, religion, gender, gender identity, age, national origin, pregnancy, disability, genetics, marital status, military or veteran status or any other protected category as established by local, state, and federal law. This policy applies to all aspects of the employment relationship including recruitment and hiring, placement, promotion, transfer, compensation, disciplinary action, layoff, leaves of absence, training, and termination. All such employment decisions will be made without unlawful discrimination based on any prohibited basis. The essential functions, working conditions and physical demands described above are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Please note that all s are not intended to be all-inclusive. This job description is not designed to cover all activities, duties or responsibilities that are required of the employee for this job. Employees may be required to perform other duties at any time with or without notice to meet the ongoing needs of the organization. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

Job Title: Data Science Architect (MLOps & API Performance Analytics) Duration: Long-term About the Role: We're seeking a Senior Software Engineer/Architect with deep experience in Data Science, DevOps/MLOps, and Data Visualization, with an added focus on API performance tracking, analytics, troubleshooting, predictive reliability, and pattern identification. In this senior role, you will: Architect and deliver scalable, production‑grade data and ML solutions Lead cross‑functional initiatives to improve system and API reliability Build predictive models that forecast failures before they occur Guide teams through complex troubleshooting and performance optimization Influence technical strategy and engineering standards across the organization You will partner with backend engineering, SRE, data engineering, and product teams to deliver high‑impact, data‑driven improvements to stability and performance.

* Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge * Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data * Effectively communicate complex technical information to non-technical audiences * Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: * US Citizens Only * Active TS/SCI Clearance and Polygraph required * Information Assurance Certification may be required * Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university * Relevant experience must be two of more of the following: * Designing/implementing machine learning * Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) * Data management (e.g., data cleaning and transformation) * Data mining * Data modeling and assessment * Artificial intelligence * Software engineering Salary Range: $61,244.98 - $134,738.95

SonSoft is an IT Staffing and consulting firm and duly organized under the laws of the Commonwealth of Georgia. We are growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description :- Experience in Data stage 11.3 / 11.5 both Admin and development. Personal:- Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal and written communication skills. Qualifications Basic Qualifications :- 7+ yrs. of progressive IT experience 5+ yrs. experience in overall project delivery including solution design, implementation, system integration, testing, and delivery 5+ yrs. experience with Data stage 11.3/11.5 development Must have a full understanding of Data stage 11.3 / 11.5 both Admin and development Advanced data modeling skills Experience with conceptual, logical, and physical data modeling and data architecture Strong SQL Skills. Understanding the Data lifecycle Exposure to Appliance modeling is advantage Demonstrated ability to communicate with business users in non-technical language Demonstrated problem solving skills Demonstrated ability working with ETL tools Demonstrated ability architecting an ETL solution Demonstrated presentation and communication skills Ability to effectively prioritize and manage multiple concurrent projects Ability to work in multiple environments and be able to prioritize and multi-task with a consistent track record of meeting deadlines while optimizing client satisfaction Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time Permanent job opportunity for you. Only US Citizen, Green Card Holder, TN Visa, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD & H1B Consultants please. Please mention your Visa Status in your email or resume.

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.