Senior Data EngineerProvo, Utah - Hybrid*Only candidates residing in the Untied States will be consideredNo agencies$160-175K/year As a Senior Data Engineer focusing on data automation and quality you will be expected to use a highly programmatic approach to solving the company’s data needs. This includes leveraging python and ANSI SQL to build data pipelines and quality tools using Spark, Databricks DLT pipelines, and other methods on the Databricks platform. This job is focused less on data architecture / structure and more on building resilient software. As such you should expect to be developing python code daily. In this role a successful data engineer is one who has the desire to build and maintain environments that run millions of lines of code with few or no failures while maintaining a high degree of accuracy. Education<ul><li>Bachelor’s degree (BS) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent industry experience or other math based technical field that requires significant programing course work to complete the degree. (EcEn, Econ, Stats, etc.)</li><li>Desired; 2 Year master’s degree (MS) in computer science or other math based technical field that requires significant programing.</li></ul> Experience<ul><li>3-5 years As a technical data engineering experience specifically focusing on automation and quality using python and spark based technologies to process and automate data.</li><li>3-5 years Experience designing cloud-based data pipelines using a variety of tools (e.g., Databricks, Fivetran, or similar).</li><li>3-5 years Experience with cloud data technologies (e.g., Snowflake, AWS, Azure) and industry best practices around data in cloud platforms.</li></ul> Essential Knowledge, Skills, and Abilities<ul><li>Prior experience as a Data Engineer or similar technical data professional</li><li>Deep knowledge of Databricks and experience processing both streaming (Kinesis) and batch data at scale using python.</li><li>A strong desire to be a Team player and build a collaborative environment.</li><li>Possess a very strong understanding of python and ANSI SQL including accessing remote data outside of the base environment using HTTP, Rest APIs, etc.</li><li>Demonstrated ability to learn new platforms and technologies.</li><li>Build and maintain the data infrastructure required to transform OLTP data sources into usable data structures optimized for business intelligence and data engineering.</li><li>Design, implement, and maintain the next-generation data pipelines using industry leading technologies such as Databricks.</li><li>In collaboration with IT and other business stakeholders, consolidate multiple complex data silos into a single enterprise data warehouse used for companywide data engineering and analytics.</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.</li><li>Work with stakeholders including the Engineering, IT, and other Data Services teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>Ensure compliance with security, data retention, and privacy policies to keep our data secure across multiple data centers and cloud vendors.</li><li>Create data tools for Data Engineering team members that assist them in building and optimizing our services.</li><li>Maintain current data pipelines to support business needs.</li><li>Work with data and analytics experts to strive for greater functionality in our data systems.</li><li>Other duties as assigned by management.</li><li>Experience using multiple programming languages (e.g., SQL, , Spark, Python,) to create reproducible, automated processes to create data infrastructure and products for business users.</li><li>Advanced SQL knowledge and query optimization.</li><li>Experience building, maintaining, and optimizing (balancing speed and cost) cloud data warehouses.</li><li>Deep knowledge of OLAP vs OLTP database architectures</li><li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li><li>Experience working with API’s and command line interface tools to automate data extraction, loading, and transformation.</li><li>Experience working with business users to develop automated quality assurance error checks.</li><li>Strong project management and organizational skills.</li><li>Ability to apply analytical and critical thinking to solve complex problems.</li><li>Experience supporting and working with cross-functional teams in a dynamic environment.</li><li>Demonstrate outstanding ethics, integrity, and judgment.</li><li>Exceptional written communication skills with specific ability to communicate concepts and ideas concisely and defend their validity.</li><li>Interact with others in a professional and mature manner.</li><li>Advanced understanding modern data warehouse practices</li><li>Experience with relational SQL and NoSQL databases, including MS SQL Server.</li><li>Experience building AWS infrastructure.</li></ul> PrincePerelson & Associates is an Equal Opportunity Employer and we do not discriminate against applicants due to race, color, religion, sex, national origin, age, disability, genetics, veteran status, or on the basis of disability or any other federal, state or local protected class. All applicants applying for U.S. job openings must be authorized to work in the United States.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that's work worth doing. Data Engineer II - Data Engineering Team Why We Have This Role Our team is a collection of deeply passionate engineers who are riding the groundbreaking of cloud computing and web scalability. We built data analytics applications that help company leaders gain insights about technology spends, make sound decisions on technology investments, and drive innovation in resource utilization and efficiency optimizations. How You'll Find Success <ul><li>Shown ability to troubleshoot and identify the root cause of issues</li><li>Demonstrated skill and passion for operational excellence</li><li>Ability to retain composure under stressful conditions, communicate effectively with wide array of individuals at Qualtrics, and get the right things done</li><li>Ability to understand large systems, drilling down to code level</li></ul> How You'll Grow <ul><li>Passionate about building products that help customers easily and effectively get their job done</li><li>Curious and constantly learning on your own and from others</li><li>You get satisfaction from helping others succeed, and you constantly seek ways to improve</li><li>You can identify gaps, propose solutions to important problems, then take it to resolution</li></ul> Things You'll Do <ul><li>Developing scalable, fast, robust, and simple self-service data analytics solutions to solve complex business problems</li><li>Close collaboration with your team to collect and incorporate feedback into your feature design</li><li>Drive operational excellence by investigating production issues, driving root cause analysis and follow-up actions for mitigation</li><li>Improve performance, availability, reliability, scale, throughput and latency</li><li>Work with your team in order to meet customer work you're doing, understand the decisions that are being made and make your voice heard</li></ul> What We're Looking For On Your Resume <ul><li>Bachelor's degree in Computer Science, IT, or related field</li><li>2+ years of professional coding experience with any programming language (Prefer experience in TypeScript/JavaScript/React/Python)</li><li>Experience with web infrastructure and distributed systems</li><li>Experience with software engineering best practices (e.g. unit testing, code reviews, design, continuous delivery, git, test automation and builddeploy systems)</li><li>Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks</li></ul> What You Should Know About This Team Our environment is primarily Python, TypeScript/JavaScript, AWS, Kubernetes and Docker. In our collaborative culture, you find plenty of opportunities to impact our full-stack products in the realm of data; from data processing and storage to data visualization & analysis and from the orchestration and scheduling of data intensive applications at a scale to the monitoring, alerting and observability of data health metrics. Our Team's Favorite Perks and Benefits <ul><li>We spend 10% of our time on individual engineering growth activities every quarter</li><li>We participate in personalized Career Action Planning. You will work with your manager to design a plan based on your life experiences, values, and career aspirations (inside and outside Qualtrics) that helps you achieve your career goals at Qualtrics. </li><li>Full time employees receive an annual experience bonus after their first year of employment. Qualtrics Experience Bonus is a program designed to provide experiences to our employees they might not otherwise have.</li><li>Variable allowances for wellness, meals, transportation, and more. </li></ul> The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models Familiarity with data models and business processes in Talent & Learning modules of Oracle Fusion Cloud Data Savvy with strong analytical skills Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners Prefer experience with CI/CD tools and code management processes Having prior experience on transition from Taleo to Oracle Fusion Cloud - nice to have Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Aristotle, a leading player in the computer software industry, is currently seeking a talented and driven Data Engineer to join our dynamic team. At Aristotle, we have a deep-rooted belief in the importance of the democratic process, which serves as the foundation of everything we do. We are committed to advancing democracy around the world through innovative software solutions that empower organizations and individuals alike. As a Data Engineer, you'll be an integral part of our mission to revolutionize the way data is utilized. You'll have the opportunity to work and learn in a collaborative environment where your opinions truly matter. We welcome passionate individuals who are dedicated to advancing the democratic process, regardless of their political affiliation. Join us at Aristotle and love what you do while contributing to a greater cause. Aristotle's Integrity division is a leading provider of identity and age verification services across numerous vertical markets. Our age/identity verification solutions are used by companies to comply with various regulatory requirements such as AML, KYC and Age Verification. Please visit https://integrity.aristotle.com for more information about this division. Responsibilities <ul> <li> Data Load and Transformation: Develop data load processes for efficient storage and retrieval of data from databases and other file systems. Create data conversion and transformation processes and utilities for handling large datasets.</li> <li> Solution Development: Utilize .NET/SSIS/SQL Server technologies to design and implement solutions that align with data consumer requirements and adhere to business rules.</li> <li> Web-Based Reporting: Build web-based reporting systems to monitor system performance, transaction metrics, and error rates.</li> <li> Data Transformation Rules: Collaborate in defining and documenting data transformation rules to ensure data integrity and accuracy.</li> <li> ETL Design and Performance: Focus on the design, development, and performance tuning of ETL (Extract, Transform, Load) processes to optimize data processing efficiency.</li> <li> Collaborative Development: Work closely with other developers to provide data services to both existing and new applications. This includes modifying production data, creating and optimizing stored procedures, functions, views, and more.</li> <li> System Performance Enhancement: Develop and analyze strategies to enhance system performance, ensuring efficient data processing and retrieval.</li> <li> Documentation and Testing: Prepare comprehensive documentation and test procedures to ensure the reliability and quality of developed solutions.</li> <li> Industry Standard Practices: Develop software using industry-standard programming techniques to maintain code quality and consistency.</li> <li> Unit Testing and Debugging: Perform unit testing and debugging of application components to identify and resolve issues promptly.</li> </ul> Requirements <ul> <li>Bachelor's or Associate's degree in Computer Science or a related field.</li> <li>Minimum of 2 years of hands-on experience with ETL (Extract, Transform, Load) processes.</li> <li>Proficiency in T-SQL programming and working with Microsoft SQL Server 2005 and 2008. A deep understanding of the SQL Server Query Processing Engine is required.</li> <li>Knowledge and experience in designing, developing, debugging, and deploying SQL Server stored procedures, T-SQL scripts, DTS (Data Transformation Services), and SSIS (SQL Server Integration Services) packages.</li> <li>Ability to manage multiple priorities, adhere to project plans, and consistently meet project deliverables.</li> <li>Proficiency in Microsoft SQL as well as Microsoft SQL Server Reporting Services. Familiarity with MS Office applications, including Word and Excel.</li> <li>Demonstrated ability to quickly learn and adapt to new technologies as needed.</li> </ul> Desired Requirements <ul> <li>Proficiency in using Microsoft Visio for creating sequence diagrams, component diagrams, and other UML (Unified Modeling Language) diagrams.</li> <li>Proficiency in data modeling using tools such as MS Visio or Erwin data modeler.</li> <li>Familiarity with identity verification for fraud, marketing, and risk mitigation solutions within the industry.</li> <li>Knowledge of internet technologies, including XML, DHTML, CSS, and JavaScript.</li> <li>Familiarity with ASP.NET 2.0, C#, and Traditional ASP (Active Server Pages).</li> </ul> Benefits All positions are Full-Time, with competitive compensation, medical benefits, paid vacation, 401k plan and stock options. Casual dress code and a non-corporate atmosphere make this a fun place to work and learn in a team environment. Please visit our website at www.aristotle.com.

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Data Engineer Jobs in Provo, UT

Senior Data EngineerNovember 12, 2024

Data Engineer Ii Data Engineering TeamNovember 10, 2024

Gcp Data EngineerNovember 6, 2024

Data EngineerNovember 5, 2024

Gcp Data EngineerOctober 27, 2024

Senior Data EngineerOctober 27, 2024