Full-Time

Consultant

Data Engineer-Lead Databricks, Python, Sql

Posted on 1/14/2025

Nationwide

Nationwide

10,001+ employees

Provides insurance and financial services

Social Impact
Financial Services

Senior

Scottsdale, AZ, USA + 1 more

More locations: Columbus, OH, USA

Candidate should be willing to work Arizona hours if not residing in Arizona.

Category
Data Engineering
Software Engineering
Data & Analytics
Required Skills
Microsoft Azure
Redshift
Python
Git
Ruby
SQL
CloudFormation
AWS
Perl
Pandas
JIRA
Jenkins
Confluence
NumPy
Development Operations (DevOps)
Databricks

You match the following Nationwide's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Expertise in Databricks, Python, SQL, and data pipeline knowledge (including PySpark, Pandas, and NumPy)
  • Proficiency in AWS services such as S3, IAM, KMS, CodePipeline, and CloudFormation
  • DevOps/DevSecOps/DataOps mindset
  • Ability to mentor and train team members on design techniques, tools, and coding standards
  • Five to eight years of relevant experience with data quality rules, data management organization/standards and practices
  • Solid experience with software development on large and/or concurrent projects
  • Experience in data warehousing, statistical analysis, data models, and queries
  • Advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby)
  • Strong problem solving, oral and written communication skills
  • Ability to influence, build relationships, negotiate and present to senior leaders
Responsibilities
  • Consults on complex data product projects by analyzing moderate to complex end to end data product requirements and existing business processes to lead in the design, development and implementation of data products
  • Responsible for producing data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration
  • Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint
  • Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities
  • Creates business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content
  • Builds data cleansing, imputation, and common data meaning and standardization routines from source systems by understanding business and source system data practices and by using data profiling and source data change monitoring, extraction, ingestion and curation data flows
  • Facilitates medium to large-scale data using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies)
  • Collaborates with enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc
  • Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
  • Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity
  • Writes and performs data unit/integration tests for data quality with input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied
  • Practices code management and integration with engineering Git principle and practice repositories
  • Participates as an expert and learner in team tasks for data analysis, architecture, application design, coding, and testing practices
Desired Qualifications
  • Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred
  • Graduate studies in business, statistics, math, computer science or a related field are a plus
  • Certifications are not required but encouraged

Nationwide provides insurance and financial services to individuals and businesses across the United States. Their product offerings include auto, home, life, and commercial insurance, as well as retirement and investment solutions. The company operates by underwriting insurance policies and managing investment portfolios, earning revenue through premiums, investment income, and fees for financial services. What sets Nationwide apart from its competitors is its focus on leveraging technology to improve claims processing and policy management, along with its commitment to customer service. Additionally, Nationwide partners with organizations to offer financial education resources, particularly for retirees, aiming to ensure financial security and protect the futures of its clients.

Company Stage

N/A

Total Funding

$769.7M

Headquarters

null, Ohio

Founded

1925

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven data analytics can enhance Nationwide's underwriting and risk assessment capabilities.
  • Smart COI networks can streamline compliance and improve customer satisfaction for Nationwide.
  • Comprehensive financial planning solutions align with Nationwide's mission, opening partnership opportunities.

What critics are saying

  • Increased competition from startups like Matic could pressure Nationwide's market share.
  • Growing consumer concerns over data security may impact Nationwide's customer trust.
  • Advancements in AI-powered platforms may challenge Nationwide's technological edge.

What makes Nationwide unique

  • Nationwide partners with organizations to provide financial education, enhancing customer engagement.
  • The company leverages technology to improve claims processing and policy management.
  • Nationwide offers a diverse range of insurance and financial products for individuals and businesses.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Holidays

401(k) Retirement Plan

401(k) Company Match

INACTIVE