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Dev Ops Engineer, Manager, Finance Analytics Job Opening In Southington – Now Hiring Webster Bank


Job description

If you’re looking for a meaningful career, you’ll find it here at Webster.

Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals.

As a leading commercial bank, we remain passionate about serving our clients and supporting our communities.

Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster’s values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

Primary responsibilities:

  • Develop expert knowledge and experience with Webster’s data systems and tools.
  • Design, deploy, and maintain serverless infrastructure and model pipelines.

    Designing, building, and maintaining infrastructure.
  • Execute and support CECL Quarterly Production Process and Annual Refresh.
  • Build, automate, and monitor statistical and machine learning model workflows from development to production.
  • Analyze and organize systems and datasets to derive actionable insights and create efficient and low maintenance pipelines.
  • Develop data workflows to support data ingestion, wrangling, transformation, reporting and dashboarding.
  • Build and manage CI/CD pipelines to ensure reliable, secure, and repeatable deployments.
  • Collaborate across teams to analyze requirements and propose infrastructure or pipeline solutions.
  • Use Snowflake for data access and processing, including creating robust data pipelines and integrations.
  • Manage data science notebooks in production environments (, SageMaker Studio,JupyterHub).
  • Use Git for version control and workflow management across codebases and projects.
  • Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
  • Key Skills/Experience:

  • 5+ years of experience working in data engineering and/or DevOps specializing in AI and Machine Learning deployment.
  • Experience working with complex data structures within a RDMS (Oracle, SQL).
  • Experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
  • Experience working with complex data structures within a RDMS (Oracle, SQL).
  • Proficient in Python/SAS Programming Language.
  • Experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms.
  • Familiarity with commercial & consumer banking products, operations, and processes, or risk & finance background/experience.
  • 5+ years of experience leveraging cloud services and capabilities of computing platforms (, AWS SageMaker, S3, EC2, Redshift, Athena, Glue, Lambda, etc.

    or Azure/GCP equivalent).
  • Experience in Reporting and Dashboarding tools ( Tableau, Qlik Sense).
  • Extensive experience with design, coding, and testing patterns as well as engineering software platforms and large-scale data infrastructures.
  • Experience in DevOps and leveraging CI/CD services: Airflow, GitLab, Terraform, Jenkins, etc.
  • Experience with Data Science project implementation.
  • Experience in documenting processes, scripts, memos clearly for internal knowledge sharing and audits
  • Strong analytical and problem-solving skills and ability to work in a collaborative team environment.
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
  • Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.
  • Time management skills are needed to prioritize multiple tasks.
  • Desired Attributes:

  • Familiarity with Docker and Kubernetes for containerized deployments.
  • Experience with Terraform, AWS CDK, or other infrastructure-as-code tools.
  • Knowledge of ETL/ELT pipelines and orchestration tools.
  • Understanding of monitoring/logging best practices in cloud-based environments.
  • Familiarity with the SAS programming language.
  • Experience using Confluence for documentation and collaboration.
  • Knowledge of Tidal or other workflow automation and scheduling tools.
  • Experience in developing constructive relationships with a wide range of different stakeholders.
  • Experience in developing Machine Learning and Deep Learning models.
  • Ability to independently gather data from various sources and conduct research.
  • Ability to think “out of the box” and provide suggestions on ways to improve the process.
  • Education:

  • Bachelors, Masters’ or degree in computer science, data science or other STEM fields (, physics, math, engineering, etc.) Other degrees with a strong computer science and/or data science background also acceptable.
  • The estimated base salary range for this position is $110,000 USD to $125,000 USD.

    Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location.

    In addition, this position is eligible for incentive compensation.

    #L1-JS1

    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.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Dev Ops Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Webster Bank adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Dev Ops Engineer, Manager, Finance Analytics Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Southington. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Dev Ops Engineer, Manager, Finance Analytics Job Success

    Webster Bank interview tips for Dev Ops Engineer, Manager, Finance Analytics

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    Before the Interview:

    Research: Learn about the Webster Bank's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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