Principal Data Engineer at Citizens Bank

Johnston, Rhode Island, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

183600.0

Posted On

21 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Big Data Solutions, Cloud Platforms, Hadoop Ecosystem, ETL Tools, Relational Databases, Cloud Databases, Python, Java, Spark, Scala, SQL, AWS, Machine Learning, Data Modeling, Architecture

Industry

Banking

Description

4 Days in the office from any of our locations in RI, Iselin NJ, MA, Pittsburgh PA, or Phoenix AZ. Role is not relocation eligible. At Citizens we’re more than a bank and here you’ll experience new things, create new opportunities, think beyond your role and make an impact! While in this role you will serve as a key contributor and leader in the space of technological innovation. Furthermore, you will combine their technical expertise and strong leadership skills to spearhead a results driven engineering operation. Additionally, you will be given the autonomy to lead, design and develop innovative solutions to some of the biggest technical issues facing the banking industry. Lastly, while in this role, you will serve as a peer leader tasked with pursuing cutting edge initiatives and solutions and the dynamic workload that will encompass both attribute enhancements and cutting – edge innovations. Most importantly, you’ll feel valued for who you are and supported to achieve what’s important to you, personally and professionally! Primary responsibilities include Serve as a key contributor to the development of data ; collaborate with stakeholders to determine solution requirements. Actively participate in/Lead design sessions and, where applicable, apply industry best practices. Collaborate with technical colleagues, such as Architecture & Engineering colleagues and software engineers, to determine and translate user requirements into actionable data delivery Produce data patterns, solution design documents and create Architecture as Code in alignment with business objectives. Develop mechanisms, applications and processes that continuously harvest big data i.e. systems architectures, programming, database design, database configuration, interface configuration, sensor configuration, etc. Create comparative analyses of data stores and information flow within the organization; identify areas of friction, lag or compromised data integrity. Review and manage the user interfaces of data flow mechanisms. Produce data models in alignment with business objectives. Perform Proof of Concepts (POCs) on new use cases, emerging technologies, and innovative data solutions. Mentor and upskill engineering talent, fostering best practices and technical excellence across the team. Demonstrate strong experience with integrations involved in data applications in cloud, ensuring seamless connectivity across platforms and services. Drive adoption of modern data architectures and integrations across applications Qualifications, Education, Certifications and/or Other Professional Credentials Required Qualifications Bachelor's Degree in Computer Science, statistics or related field discipline 8+ years of working experience in data engineering; experience managing engineers and/or technical personnel Experience handling big data, building big data solutions using cloud platforms, streaming and API based solutions Experience in Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql, etc.) Experience with ETL/ELT tools i.e. DataStage, Informatica, Sqoop, building/enhancing Inhouse ETL frameworks, etc. Experience with the following technologies: Relational and Cloud Databases (Oracle, MS-SQL, Snowflake, Amazon RedShift, Postgres, etc.) Python, Java, Spark, Scala, Shell scripting, SQL, PL/SQL, etc. SCM tools such as Bitbucket with Jira, Starteam or SVN AWS native series such as S3, RDS, Glu, Athena, Airflow etc. Preferred Qualifications Master's Degree in Computer Science, statistics or related field discipline Big Data Tech/AWS/Agile Certifications Experience working in the financial services industry; understanding of the role of consumer and commercial banking Experience working with machine learning technologies and/or AI Experience with Tableau, Cognos or SAS Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday Pay Transparency The salary range for this position is $ 122,400 - $ 183,600 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Responsibilities

The Principal Data Engineer will lead the development of data solutions and collaborate with stakeholders to determine requirements. They will also mentor engineering talent and drive the adoption of modern data architectures.