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  • Senior Data Engineer

    Addison Group 4.6company rating

    Data engineer job in Phoenix, AZ

    Job Title: Sr. Data Engineer Job Type: Full Time Compensation: $130,000 - $150,000 D.O.E. is eligible for medical, dental, vision, and life insurance coverage, & PTO Senior Data Engineer ROLE OVERVIEW The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms that support analytics, reporting, and advanced data-driven initiatives. This is a hands-on engineering role focused on developing reliable, high-performing data solutions while contributing to architectural standards, data quality, and governance practices. The ideal candidate has strong experience with modern data architectures, data modeling, and pipeline development, and is comfortable collaborating across technical and business teams to deliver trusted, production-ready datasets. KEY RESPONSIBILITIES Design and maintain data models across analytical and operational use cases to support reporting and advanced analytics. Build and manage data pipelines that ingest, transform, and deliver structured and unstructured data at scale. Contribute to data governance practices, including data quality controls, metadata management, lineage, and stewardship. Develop and maintain cloud-based data platforms, including data lakes, analytical stores, and curated datasets. Implement and optimize batch and near-real-time data ingestion and transformation processes. Support data migration and modernization efforts while ensuring accuracy, performance, and reliability. Partner with analytics, engineering, and business teams to understand data needs and deliver high-quality solutions. Enable reporting and visualization use cases by providing clean, well-structured datasets for downstream tools. Apply security, privacy, and compliance best practices throughout the data lifecycle. Establish standards for performance tuning, scalability, reliability, and maintainability of data solutions. Implement automation, testing, and deployment practices to improve data pipeline quality and consistency. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience. 5+ years of experience in data engineering or related roles. Strong hands-on experience with: Data modeling, schema design, and pipeline development Cloud-based data platforms and services Data ingestion, transformation, and optimization techniques Familiarity with modern data architecture patterns, including lakehouse-style designs and governance frameworks. Experience supporting analytics, reporting, and data science use cases. Proficiency in one or more programming languages commonly used in data engineering (e.g., Python, SQL, or similar). Solid understanding of data structures, performance optimization, and scalable system design. Experience integrating data from APIs and distributed systems. Exposure to CI/CD practices and automated testing for data workflows. Familiarity with streaming or event-driven data processing concepts preferred. Experience working in Agile or iterative delivery environments. Strong communication skills with the ability to document solutions and collaborate across teams.
    $130k-150k yearly 3d ago
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  • Senior Data Modeler

    Harnham

    Data engineer job in Phoenix, AZ

    Hybrid 3-4 days onsite Salary: $130,000 - $150,000 base A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business. This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams. What You'll Be Working On Designing and implementing enterprise data models across conceptual, logical, and physical layers Establishing Medallion architecture patterns and reusable modeling assets Building dimensional and semantic models that support analytics and reporting Partnering closely with domain experts and functional leaders to translate business needs into data structures Collaborating with data engineers to align models with ELT pipelines and analytics frameworks Helping define modeling standards and upskilling senior engineers in modern data modeling practices Contributing hands-on to data engineering work where needed (SQL, transformations, optimization) Proactively identifying analytics opportunities and recommending data structures to support them This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration. Must-Have Experience Strong, hands-on experience with data modeling (dimensional, canonical, semantic) Deep understanding of Medallion architecture Advanced SQL and experience working with a modern cloud data warehouse Experience with dbt for transformations and modeling Hands-on experience in cloud-native data environments (AWS preferred) Ability to work directly with business stakeholders and explain technical concepts clearly Experience collaborating closely with data engineers on execution Nice to Have Python experience Familiarity with Informatica or reverse-engineering legacy data models Exposure to streaming or near-real-time data pipelines Experience with visualization tools (tool choice is flexible) Who Will Thrive in This Role A senior individual contributor who enjoys building from scratch Someone who can act as a modeling expert and mentor in an organization formalizing this practice Comfortable working in ambiguity and taking initiative Strong communicator who enjoys partnering with both technical and non-technical teams Equally comfortable discussing business concepts and physical data models Why This Role Is Unique Greenfield data modeling initiative with real influence Opportunity to define standards that will be used across the organization Work on large-scale, real-world operational and analytical data High visibility within a growing data organization Flexible work setup for individual contributors If you're excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.
    $130k-150k yearly 4d ago
  • Data Architect

    Akkodis

    Data engineer job in Phoenix, AZ

    Akkodis is seeking a Data Architect local to Phoenix, AZ that can come onsite 3 days a week. If you are interested, please apply! JOB TITLE: Data Architect EMPLOYMENT TYPE: 24+ month Contract | 3 days/week on site Pay: 80 - 96/hr ETL design and development for enterprise data solutions. Design and build databases, data warehouses, and strategies for data acquisition, archiving, and recovery. Review new data sources for compliance with standards. Provide technical leadership, set standards, and mentor junior team members. Collaborate with business stakeholders to translate requirements into scalable solutions. Guide teams on Azure data tools (Data Factory, Synapse, Data Lake, Databricks). Establish best practices for database design, data integration, and data governance. Ensure solutions are secure, high-performing, and easy to support. Essential Skills & Experience Bachelor's degree in computer science, Information Systems, or equivalent experience. 10+ years with Microsoft SQL technologies. 3+ years with cloud-based solutions (Azure preferred). Strong knowledge of ETL, data modeling, and data warehousing. Experience with source control, change/release management, and documentation. Excellent communication and leadership skills. Preferred Retail or grocery industry experience. Familiarity with Power BI and MDM principles. Work Schedule Hybrid: 3 days onsite in Phoenix, AZ; 2 days remote. “Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client”
    $92k-128k yearly est. 4d ago
  • Systems Software Engineer

    Sunbelt Controls 3.3company rating

    Data engineer job in Phoenix, AZ

    Now Hiring: Systems Software Engineer II 📍 Phoenix , Arizona | 💰 $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 Arizona 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
    $108k-135k yearly 1d ago
  • Engineer (All Disciplines)

    Crowley Recruiting, LLC

    Data engineer job in Phoenix, AZ

    Our client is an established Semiconductor Manufacturing facility in the North Phoenix AZ vicinity, and are seeking multiple experienced Engineers to join the Facilities/ Construction team in building the foundation for the new manufacturing facilities, industrial work, and field engineering with up to 2.1M square feet for a site, and buildings up to 600k square feet. Position Summary: Seeking multiple Facility, Construction, & Manufacturing Engineers who are responsible for the operation, maintenance, and troubleshooting of all facility systems to include UPW, Water, Mechanical, HVAC, Controls, Piping, etc. These Engineer must accurately and reliably build to follow standard operating procedures for equipment maintenance and troubleshooting. This role supports the (OSAT) factory/site in North Peoria, AZ. Engineers with experience in any of these: Gas Chemical, HVAC, Process Piping, Low Voltage/CCTV, UPW, Water/Wastewater, Fire, Electrical, Instrument & Controls, and Environmental/EHS. Position Overview: • Work with GC's and trades to guide them in the construction and building of this facility over the next 4-years, establish new SOP's, and build a new team of engineers and technicians as an industry leader • Manage automatic control systems for efficiency, issue resolution, monitor system performance, and propose improvements. • Manage the inventory of main tools, instruments, and materials, and order them in a timely manner when necessary to ensure smooth operations. Additionally, regularly inspect the condition of equipment, establish maintenance plans, and be able to troubleshoot issues. • Develop system documentation, including PM work plans, operating instructions, contingency plans, and training materials. • Manage permitting procedures for equipment installation and operation, ensuring compliance with regulations. • Manage the utility supply procedures required for the production line while optimizing energy use and reducing waste, ensuring stable supply by adhering to each utility's specifications. • Clearly define the project requirements and prepare bid documents to include the project's scope, schedule, budget, and technical specifications to ensure the selection of suitable contractors. Required Qualifications: • Bachelor's Degree in Engineering, any discipline • 3+ years' experience with maintenance and process systems, working in an industrial setting is highly preferred. • Demonstrated knowledge in operation of industrial and/or commercial processing equipment, semiconductor is preferred. • Demonstrated knowledge of industry standards, codes and regulations, and the ability to apply to maintenance operation of the site's mechanical systems. • And additional facility responsibilities in the construction and management of a new semiconductor manufacturing facility
    $76k-106k yearly est. 5d ago
  • Data Scientist (Technical Leadership)

    Meta 4.8company rating

    Data engineer job in Phoenix, AZ

    We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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.
    $210k-281k yearly 60d+ ago
  • Data Scientist, NLP

    Datavant

    Data engineer job in Phoenix, AZ

    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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#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: $136,000-$170,000 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 (**************************************** .
    $136k-170k yearly 37d ago
  • Staff Data Science Consultant - Retail Planning Solutions

    Blue Yonder

    Data engineer job in Scottsdale, AZ

    Title: Staff Data Science Consultant - Retail Planning Solutions Travel: Ability to travel across North America up to 50% Overview: Blue Yonder's Professional Services team is seeking a Staff Data Science Consultant (DSC) to join our Retail Planning Solutions group. In this role, you'll partner with customers to unlock the full value of their business through data-driven insights and intelligent decision support. You'll serve as a trusted advisor by recommending software configuration options, implementing optimized solutions, and ensuring our customers achieve maximum value from their Blue Yonder investments. What you'll do: * Algorithm Development: Design, develop, and test algorithms, models, and solution approaches to address business issues with minimal supervision. * Prototype Development: Create prototypes and proofs of concept for new features to demonstrate feasibility and effectiveness. * Integration and Implementation: Embed models and algorithms into product solutions, ensuring operational aspects and client usability are prioritized. * Mentorship: Provide guidance and mentorship to junior data scientists and data analysts within the team. * Quality Assurance: Develop high-quality code and tests, adhering to clean code principles and Blue Yonder's standards. * Customer Collaboration: Engage with clients to understand their needs, present findings, and implement tailored solutions that drive business value. * Continuous Improvement: Stay abreast of advancements in technology and methodologies to continuously improve the team's capabilities. Technical Environment: * Advanced machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Big data processing tools (e.g., Hadoop, Spark) and cloud computing platforms (AWS, Azure, Google Cloud) * Proficiency in programming languages such as Python and R * Experience with CI/CD pipelines for efficient deployment of machine learning models * Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) What we are looking for: * Advanced degree (PhD or Master's) in Computer Science, Data Science, Operations Research, Statistics, or a related discipline * 8+ years of experience applying data science to solve real-world challenges, with deep expertise in machine learning and operations research in a professional work setting * Proficiency in Python or R, with hands-on experience using modern frameworks such as TensorFlow or PyTorch * Proven track record of leading data-driven projects and mentoring teams to deliver impactful business outcomes * Exceptional ability to translate complex technical concepts into insights that inspire understanding and action across diverse audiences * Recognized thought leadership through publications, patents, or conference contributions is a strong plus * Experience in Retail Supply Chain Management or related domains is highly desirable Comparable title: Staff Data Sciene Consultant I - Consulting * LI-AD1 #LI-remote * ------------------------------------------ The annual salary range for this position is USD $105,000 - $129,000 The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: * Comprehensive Medical, Dental and Vision * 401K with Matching * Flexible Time Off * Corporate Fitness Program * A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
    $105k-129k yearly Auto-Apply 9d ago
  • Player Group - Data Scientist

    Prodigy Search 4.1company rating

    Data engineer job in Scottsdale, AZ

    Data Scientist Reports to: Senior Director, Business Intelligence & Data Strategy Search Contact: Prodigy Search BACKGROUND Player 15 Group the sports and entertainment company behind the Phoenix Suns (NBA), Phoenix Mercury (WNBA), Valley Suns (G League), and Mortgage Matchup Center is redefining the industry standard for how organizations engage fans, partners, and their communities. Headquartered in downtown Phoenix and reaching audiences around the world, Player 15 Group is driven by possibility, innovation, and a relentless commitment to creating memorable moments on and off the court. The organization's culture is anchored in purpose-driven leadership and fueled by individuals who bring passion, creativity, and vision to everything they do. By challenging convention, amplifying diverse voices, and crafting experiences that resonate well beyond the final buzzer, Player 15 Group is where talent meets purpose and bold ideas become reality. SUMMARY The Data Scientist will be a key member of the Business Intelligence & Data Strategy team, leading advanced analytics initiatives that support revenue growth, fan engagement, and organizational decision-making across Player 15 Group. This individual will design, build, and deploy predictive and prescriptive models that inform ticketing, marketing, partnerships, and customer strategy, transforming complex data into insights that drive measurable business outcomes. Serving as both a technical expert and strategic thought partner, the Data Scientist will collaborate closely with stakeholders across the business to forecast demand, optimize pricing, enhance retention, and identify high-value audiences. The ideal candidate brings hands-on experience with modern data science tools and techniques, thrives in a fast-paced, team-oriented environment, and is highly skilled at communicating findings in a clear, compelling, and actionable way for executive and non-technical audiences. RESPONSIBILITIES Lead the development of predictive models to forecast demand and sales that support revenue planning, ticket pricing, and inventory optimization. Design, build, and maintain retention models for season ticket holders, suite holders, and marketing partners to proactively identify renewal and churn risk. Develop lifetime value models and methodologies that identify high-value fans and inform personalized engagement, offers, and communication strategies. Build and refine audience segmentation and clustering frameworks that power decision-making across ticketing, marketing, and partnerships. Leverage Python and SQL to extract, transform, and analyze data from multiple sources, ensuring datasets are accurate, consistent, and ready for modeling. Partner with data engineers, IT, and BI analysts to operationalize models into the data warehouse, dashboards, and reporting ecosystem. Collaborate with ticketing, marketing, and partnership teams to translate business questions into analytical approaches and data products. Communicate analytical findings and model outputs through clear storytelling, visualizations, and presentations tailored to executive and cross-functional audiences. Establish and track model performance using metrics such as MAPE, MAE, RMSE, R, AUC, and other relevant KPIs; recommend enhancements based on results. Design and evaluate A/B tests and experiments to measure the impact of new strategies, campaigns, and pricing or packaging decisions. Implement best practices in feature engineering, feature selection, cross-validation, and model versioning to ensure reliability and repeatability. Develop and maintain dashboards and visualizations using tools such as Tableau, Power BI, or Looker to support self-service analytics. Work within cloud data warehouse environments (e.g., Redshift, Snowflake) and contribute to ETL/ELT processes in partnership with engineering teams. Stay current on emerging data science techniques, tools, and industry trends; introduce new approaches that advance Player 15 Group's analytics capabilities. Support on-site needs as required, including occasional presence at games or events to understand operations, fan behavior, and partner activation. QUALIFICATIONS 3 5+ years of experience in applied analytics, data science, or a related quantitative field. Bachelor's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline. Proficiency in Python (e.g., pandas, NumPy, scikit-learn, XGBoost, matplotlib) and SQL for data transformation, modeling, and analysis. Demonstrated experience building and deploying forecasting and predictive models (e.g., regression, ensemble methods) to predict sales, renewals, and customer demand. Strong understanding of statistical analysis, machine learning, model evaluation, and predictive modeling techniques. Experience working with model evaluation metrics such as MAPE, MAE, RMSE, R, and AUC, and connecting these metrics to business impact. Knowledge of A/B testing, hypothesis testing, and experimental design to optimize performance of campaigns, pricing, and product strategies. Hands-on experience with feature engineering, feature selection, cross-validation, and model lifecycle management best practices. Experience developing segmentation and clustering models to explain and predict audience behavior. Familiarity with data visualization tools such as Tableau, Power BI, or Looker. Experience working in data warehouse environments (e.g., Redshift, Snowflake) and with ETL/ELT tools such as dbt, Airflow, or similar. Proven ability to work cross-functionally with ticketing, marketing, partnerships, or similar business teams to drive data-informed strategies. Background in sports, entertainment, or consumer analytics preferred, but not required. Strong communication skills, with the ability to translate complex analyses into clear, concise, and actionable insights. Ability to work non-traditional hours, including evenings and weekends, as needed for games and events. Ability to move throughout an arena environment for extended periods and engage in standard office tasks; must be able to converse effectively in person and by phone. CONTACT INFORMATION Founded in 2007, Prodigy Search, located in the New York City suburb of Freehold, NJ, boasts over 80 years of experience in the sports and entertainment business. As a renowned nationwide leader in senior-level executive search, Prodigy Search has honed its business principles and expertise, establishing itself as the largest boutique recruiting agency in North America. We recruit with integrity, purpose, and passion. No phone calls please. For any additional questions, please email .
    $80k-115k yearly est. 19h ago
  • Cloud Analytics in Big Data/Hadoop

    Sonsoft 3.7company rating

    Data engineer job in Phoenix, AZ

    Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description At least 4+ years of overall design and development experience At least 4+ years of working on data management domain with big data, Oracle, SQL or other database solutions At least 2+ years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies Development experience in Java, Python, Scala Experience in cloud technologies preferred - AWS or Azure. Experience in DevOps technologies preferred Understanding of market and technology trends. Analytical and problem solving skills Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience with Information Technology. 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, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.
    $78k-107k yearly est. 60d+ ago
  • Big Data Consultant

    Career Guidant

    Data engineer job in Phoenix, AZ

    Career Guidant, an internationally acclimed, trusted multi-faced orgiansation into Information Technology Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology Development & Consulting, Infrastructure & Facility Management Services and Technical Content development as core competencies. Our experienced professionals bring a wealth of industry knowledge to each client and operate in a manner that produces superior quality and outstanding results. Career Guidant proven and tested methodologies ensures client satisfaction being the primary objective. Committed to our core values of Client Satisfaction, Professionalism, Teamwork, Respect, and Integrity. Career Guidant with its large network of delivery centres,support offices and Partners across India, Asia Pacific, Middle East, Far East, Europe, USA has committed to render the best service to the client closely to ensure their operation continues to run smoothly. Our Mission "To build Customer satisfaction, and strive to provide complete Information Technology solution you need to stay ahead of your competition" If you have any queries about our services. Job Description • At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies • Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting • Should be a strong communicator and be able to work independently with minimum involvement from client SMEs • Should be able to work in team in diverse/ multiple stakeholder environment Qualifications • Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education. Additional Information Note : NO OPT, H1 for this position Client : Infosys
    $73k-100k yearly est. 60d+ ago
  • Data Scientist

    Isolved HCM

    Data engineer job in Phoenix, AZ

    Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development * Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities. * Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance. * Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data. Data Engineering & Pipeline Ownership * Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring. * Collaborate with data engineers to ensure proper data ingestion, transformation, and governance. Experimentation & Validation * Conduct A/B tests and back testing to validate model effectiveness. * Apply techniques for model monitoring, drift detection, and retraining in production. Business Impact & Storytelling * Translate complex analytical outputs into clear recommendations for business stakeholders. * Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: * Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience). * 3+ years of experience building predictive models in a production environment. * Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. * Demonstrated expertise using Databricks for: * Data manipulation and distributed processing with PySpark. * Building and managing models with MLflow. * Leveraging Delta Lake for efficient data storage and retrieval. * Implementing scalable ML pipelines within Databricks' ML Runtime. * Experience with feature engineering for behavioral and transactional datasets. * Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems. * Ability to communicate results and influence decision-making across technical and non-technical teams. Preferred Qualifications: * Experience with cloud platforms (Azure Databricks, AWS, or GCP). * Familiarity with Unity Catalog for data governance and security. * Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks. * Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring). * Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes to grow their companies and careers. Learn more at ******************* isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit ************************** for more information regarding our incredible culture and focus on our employee experience. Visit ************************* for a comprehensive list of our employee total rewards offerings.
    $74k-107k yearly est. 30d ago
  • Sr. Big Data Engineer

    Ktek Resourcing 4.1company rating

    Data engineer job in Phoenix, AZ

    K-Tek's core business is into temporary staffing, permanent placement and volume hiring. Since inception of our staffing solutions has grown multi-fold with global offices. We know what works best for our clients and what doesn't. This is the key differentiator and this is how we edge over the competition. Job Description Hi, Please review and let me know if you are interested Good Salary + Benefits + Relocation + travel expense - All provided. ONLY FULLTIME Locations: Phoenix, AZ, Washington, Atlanta Must Have's- Java (Expert developer/engineer), Hadoop (expert level), strong Communication skills (involves interacting with clients). Mode of interview: Online test, Phone round 1,2. And final interview. Position 1: Big Data Sr. Software Eng (10+ years) Project: Development/Coding/Technical (muliple roles) Must Have's- Java (Expert developer/engineer), Hadoop (expert level), strong Communication skills (involves interacting with clients). Overall 8-10 yrs of expereince Atleast 6 years of Java expertise/development + coding Must have minimum 3 yrs of Hadoop, Hive, Big Data exp Description: Very strong server-side Java experience, especially in an Open Source, data-intensive, distributed environments Experience in the implementation role of high end software products in telecom/ financials/ healthcare/ hospitality domain Should have worked on open source products and contribution towards it would be an added advantage Implemented and in-depth knowledge of various Java, J2EE and EAI patterns Implemented complex projects dealing with the considerable data size (GB/ PB) and with high complexity Well aware of various architectural concepts (Multi-tenancy, SOA, SCA, etc.) and NFR's (performance, scalability, monitoring, etc.) Good understanding of algorithms, data structure, and performance optimization techniques Knowledge of database principles, SQL, and experience working with large databases beyond just data access Exposure to complete SDLC and PDLC Capable of working as an individual contributor and within team too Self-starter & resourceful personality with ability to manage pressure situations Should have experience/ knowledge on working with batch processing/ real-time systems using various Open Source technologies like Solr, Hadoop, NoSQL DB's, Storm, Kafka, etc. ROLE & RESPONSIBILITIES : Implementation of various solutions arising out of the large data processing (GB's/ PB's) over various NoSQL, Hadoop, and MPP-based products Active participation in the various Architecture and design calls with Big Data customers Working with Sr. Architects and providing implementation details to offshore Conducting sessions/ writing whitepapers/ Case Studies pertaining to Big Data Responsible for timely and quality deliveries Fulfill organization responsibilities - Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and trainings Additional Information All your information will be kept confidential according to EEO guidelines.
    $90k-128k yearly est. 7m ago
  • Data Engineer II, Global Risk & Compliance Technology

    American Express 4.8company rating

    Data engineer job in Phoenix, AZ

    At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your complete well-being and many opportunities to learn new skills, develop as a leader, and grow your career. From building next-generation apps and microservices to using AI to help protect our franchise and customers from fraud, you could be doing ambitious work that brings our iconic, global brand into the future. As a part of our tech team, we could work together to bring ground-breaking and diverse ideas to life that power our digital systems, services, products and platforms. If you love to work with APIs, contribute to open source, or use the newest technologies, we'll support you with an open environment and learning culture. **Join Team Amex and let's lead the way together!** The position of Data Engineer will be on a dynamic and growing team within the Global Risk & Compliance Technology (GRCT) organization at American Express. + Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs. + Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements. + Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders. + Operates data assets according to consistent standards, guidelines, and policies. + Completes work reviews and fosters a collaborative learning environment. + Communicates and collaborates with business and product teams to facilitate changes and implementation. + Completes Big Data requirements by implementing basic partitioning and indexing solutions. + Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives. + GCP Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions. + Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation. + ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts. + Data Modeling: Understanding of data modeling principles and techniques. + Cloud Technologies: Knowledge of cloud computing concepts and standard processes. + Problem-Solving: Excellent analytical and problem-solving skills. **Qualifications** Salary Range: $89,250.00 to $150,250.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: + Competitive base salaries + Bonus incentives + 6% Company Match on retirement savings plan + Free financial coaching and financial well-being support + Comprehensive medical, dental, vision, life insurance, and disability benefits + Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need + 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy + Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) + Free and confidential counseling support through our Healthy Minds program + Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the " Know Your Rights " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: *************************** Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. **Job:** Technologies **Primary Location:** US-Arizona-Phoenix **Schedule** Full-time **Req ID:** 25023114
    $89.3k-150.3k yearly 8d ago
  • Data Scientist, Product Analytics

    Meta 4.8company rating

    Data engineer job in Phoenix, AZ

    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.
    $147k-208k yearly 60d+ ago
  • Data Scientist, Privacy

    Datavant

    Data engineer job in Phoenix, AZ

    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 (**************************************** .
    $104k-130k yearly 10d ago
  • Big Data Consultant

    Career Guidant

    Data engineer job in Phoenix, AZ

    Career Guidant, an internationally acclimed, trusted multi-faced orgiansation into Information Technology Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology Development & Consulting, Infrastructure & Facility Management Services and Technical Content development as core competencies. Our experienced professionals bring a wealth of industry knowledge to each client and operate in a manner that produces superior quality and outstanding results. Career Guidant proven and tested methodologies ensures client satisfaction being the primary objective. Committed to our core values of Client Satisfaction, Professionalism, Teamwork, Respect, and Integrity. Career Guidant with its large network of delivery centres,support offices and Partners across India, Asia Pacific, Middle East, Far East, Europe, USA has committed to render the best service to the client closely to ensure their operation continues to run smoothly. Our Mission "To build Customer satisfaction, and strive to provide complete Information Technology solution you need to stay ahead of your competition" If you have any queries about our services. Job Description • At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies • Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting • Should be a strong communicator and be able to work independently with minimum involvement from client SMEs • Should be able to work in team in diverse/ multiple stakeholder environment Qualifications • Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education. Additional Information Note : NO OPT, H1 for this position Client : Infosys
    $73k-100k yearly est. 9m ago
  • IBM Data power Consultant

    Sonsoft 3.7company rating

    Data engineer job in Phoenix, AZ

    Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Preferred • At least 4 years of experience with IBM IIB, WMB, Datapower • At least 4 years of experience in software development life cycle. • At least 4 years of experience in Project life cycle activities on development and maintenance projects. • At least 2 years of experience in Design and architecture review. • Ability to work in team in diverse/ multiple stakeholder environments • Ability to work in Scrum team in diverse/ multiple stakeholder environments • Interface analysis, Technical leadership, activities coordination, etc. • Perform reviews • Interactions with application teams, GI Team and other stake holders relevant to technology • Experience in Automation Domain. • Analytical skills • Experience and desire to work in a Global delivery environment Qualifications Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 4 years of experience with Information Technology. 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, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.
    $69k-95k yearly est. 60d+ ago
  • Data Engineer

    American Express 4.8company rating

    Data engineer job in Phoenix, AZ

    You lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Let's share success. Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency. A successful Data Engineer knows that delivering on that promise takes foresight, planning and agility. Our Data Engineers know how to use the latest technology to design, evaluate, debug and manage the data that leads to better decisions, maximum value, and higher customer satisfaction. Let's build on what you know. If you have proficiency and experience with crafting, developing, trouble shooting, debugging, evaluating, modifying, deploying and documenting data components (data architecture, logical and physical data models, database objects and database administration) that meet the needs of customer-facing applications, business applications, and/or internal end user applications, let's find business advantages hiding in plain sight. Here's just some of what you'll do: Design and build a robust data model architecture to support optimal data processing and standardized metric definitions Review data requirements / data stories and corresponding data sources and data architecture Document data requirements / data stories and maintain data models to ensure seamless integration into existing data architectures Create and maintain detailed information about the data being stored Support management of data assets as per enterprise standards, guidelines and policies Review and understand processing requirements inclusive of data and transaction volumes, scalability, security and performance requirements Assist in building and improving the database design and infrastructure required to support the Technology Infrastructure portfolio Communicate and work closely with business and product teams to support changes and implementation Design, develop, and maintain reports, processes and KPIs to drive business decisions Function as an active member of an agile team through consistent development practices (tools, components, and documentation) Find opportunities to adopt innovative technologies Take part in reviews of individual or team contributions Work on prioritized/assigned features for ongoing sprints Communicate and work reciprocally with business and product teams to support changes and implementation Are you up for the challenge? Here's what you should have: 4 years of data architecture and MS SQL database experience in a professional environment Expertise in an analytical language (Python, R or the equivalent) preferred; knowledge of SAS is a plus but not required. Demonstrable business report creation experience utilizing various reporting tools (e.g.\: MS SQL Reporting Services, Tableau, Informatica, Cognos, Microstrategy, PowerBI, etc.) Experience with hands-on design and development across one or more database management systems Experience with distributed systems, algorithms and applications Strong understanding of infrastructure data and data management Experience with ServiceNow data and associated data model Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing Strong analytical skills with demonstrable ability to understand and document business data requirements Technical knowledge of DBMS products and ecosystem\: storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc. Proficiency with data structures and associated components Basic understanding of Metadata Management and Database Management Proficiency with and ability to document business data requirements in complete, accurate, extensible and flexible logical data models using data modeling tools Proficiency with creating basic data models using the relevant tools and frameworks Basic understanding of XML and schema development/reuse, database concepts, database design Proficiency with industry recognized methods, processes and standards Familiarity with enterprise infrastructure technologies and components (e.g.; compute, storage, JVMs, containers, networking fundamentals) Salary Range\: $85,000.00 to $150,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window\: https\://********************************** to access the three posters. Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
    $85k-150k yearly Auto-Apply 60d+ ago
  • Big Data/Cloud Consultant

    Sonsoft 3.7company rating

    Data engineer job in Phoenix, AZ

    Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description: At least 5 years of working on data management domain with big data, Oracle, SQL or other database solutions At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies At least 4 years of overall design and development experience Development experience in Java, Python, Scala. Experience in cloud technologies preferred - AWS or Azure. Experience in DevOps technologies preferred Understanding of market and technology trends. Analytical and problem solving skills Qualifications Basic Qualification: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 5 years of experience with Information Technology. 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, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.
    $69k-95k yearly est. 60d+ ago

Learn more about data engineer jobs

How much does a data engineer earn in Scottsdale, AZ?

The average data engineer in Scottsdale, AZ earns between $69,000 and $129,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Scottsdale, AZ

$94,000

What are the biggest employers of Data Engineers in Scottsdale, AZ?

The biggest employers of Data Engineers in Scottsdale, AZ are:
  1. Choice Hotels
  2. International Cruise & Excursions, Inc. - ICE
  3. Radix
  4. Rizse
  5. Berkshire Hathaway
  6. Nationwide
  7. Clearway Energy
  8. MSR Technology Group
  9. Savas Management Center LLC
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