Sr. Staff Data Engineer

Early Warning Services

United States

United States

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divh2Job Title/h2pThis position is a key role in the development, test, and deployment of complex solutions./ph3Essential Functions/h3ulliPartners with software engineering, product, and architecture to shape engineering approaches, share knowledge and experience./liliOwn the data and technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems./liliResponsible for department-wide design, patterns and code approaches./liliReviews and validates effectiveness of code output from multiple teams./liliAccountable for resolving technical conflict within and between multiple teams./liliDrive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology and data strategy./liliRepresent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others. Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change/liliCollaborate and partner with product managers, designers, and other engineering groups to conceptualize, build new features and create product descriptions./liliActively own features or systems and define their long-term health, while also improving the health of surrounding systems./liliAssist Support and Operations teams in identifying and quickly resolving production issues./liliDevelop and implement tests for ensuring the quality, performance, and scalability of our application./liliDevelop and mentor other engineers. May serve as a technical leader for cross-functional projects./liliActively seeks out ways to improve engineering standards, tooling, and processes./liliSupporting the companys commitment to risk management and protecting the integrity and confidentiality of systems and data./li/ulh3Minimum Qualifications/h3ulliEducation and/or experience typically obtained through a Bachelors degree in computer science or related technical field./liliTwelve or more years of relevant related experience./liliNine or more years of experience in the development of complex database management systems, Business Intelligence solution, AI/ML Model development Oprationization (includes feature engineering, model optimization, model operationization), distributed systems, SaaS, cloud solutions, micro services./liliHands-on Docker experience./liliTwo or more years of experience in the development of end to end data management platforms data modeling, data goveranace, BI Reporting, AI/ML model life cycle management./liliFive or more years of work experience with ETL development (using Ab Initio, Talend, Informatica or other industry proven tools), BI Reporting design development (using Tableu or Business Objects or Griffana or other industry tools)./liliOne or more years ML Development (using Python, PySpark, Spark), ML Model development framework (using PyCharm, SciKit, Sage Maker, Tensorflow)./liliDemonstrated experience in delivering business-critical systems to the market./liliAbility to influence and work in a collaborative team environment across multiple departments./liliExperience designing/developing scalable systems./liliExperience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc)./liliWorking experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc)./liliKnowledge of mature engineering practices (CI/CD, testing, secure coding, etc)./liliKnowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices./liliBackground and drug screen./li/ulh3Preferred Qualifications/h3ulliMS or PHD/liliExperience using AI/ML Model Frameworks like Tensorflow, Sage Maker, Scikit, PyCharm/liliBig Data Platforms (Cloudera, S3)/liliDatabase platforms (Oracle, SQL Server)/liliComputer language experience (Python, PySpark, and R)/liliKnowledge of Aerospike, Scality S3, Elastic Search/liliMonitoring and Alerting systems experience (AppDynamics)/liliKnowledge of ACH/EFT/liliKnowledge of real time payment networks (RTP, FedNow)/liliFinTech experience/liliKubernetes experience/li/ulh3Physical Requirements/h3pWorking conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers./ppEmployee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation./ppThe above job description is not intended to be an all-inclusive list of duties and standards of the position./ppEarly Warning Services is an affirmative action and equal opportunity employer./ppThe base pay scale for this position in: Phoenix, AZ/ Chicago, IL in USD per year is: $175,000 - $225,000. New York, NY/ San Francisco, CA in USD per year is: $210,000 - $270,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits./ppThis pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidates education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes./ppSome of the Ways We Prioritize Your Health and Happiness/pulliHealthcare Coverage Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health dependent care expenses./lili401(k) Retirement Plan Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility./liliPaid Time Off Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day./lili12 weeks of Paid Parental Leave/liliMaven Family Planning provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work./li/ulpAnd SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!/ppEarly Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify./p/div

United States

Sprachkenntnisse

English

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