Jack in the Box

Data Engineer

Jack in the Box$135K — $189K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, Computer Science, Information Systems or related field.
  • 6+ years of experience in data engineering and supporting data-intensive applications.
  • 5-6 years in data management architectures, including Data Warehouse and Data Lake.
  • 5 years of mastery in SQL and experience with analytics tools in Python, Java, or Scala.
  • 4 years of experience in deploying and maintaining data pipelines on AWS and Snowflake.

Responsibilities

  • Design and develop systems software applications aligned with business needs.
  • Collaborate with IT and product teams to enable data-driven decision making.
  • Monitor performance of data platforms and optimize for reliability.
  • Develop end-to-end data pipelines and integrate them into workflows.
  • Manage complex data systems, serving as data stewards for the Enterprise Data team.
  • Own and maintain core data pipelines that support analytics capabilities.
  • Provide production support and resolve issues related to data products.

Benefits

  • Medical, dental, and vision insurance.
  • Health Savings Account (HSA) and Flexible Spending Account (FSA).
  • Life and Disability Plans benefit package.
  • 401(k) plan with company match.
  • Tuition reimbursement for continuing education.
  • Employee Assistance Program (EAP).
  • Pet insurance options available.
Full Job Description
Seeking a hand-on Data Engineer with primary and strong skills with the following: SQL, Python, AWS, Snowflake, DBT/Airflow (orchestration).

This position will be responsible for the development, scalability, and stability of the data platform and pipelines, software and infrastructure, that effectively produce value-add data products, including collaboration with business partners, data architects, and other developers to align platform capabilities with business needs.

KEY DUTIES/RESPONSIBILITIES:

Designs and develops new and/or existing systems software applications to meet current and future business needs.

Partners with IT data engineering & product teams, architects and managers to enable decision support and key insights across the organization.

Works with internal IT teams and cross-functional teams to monitor data platform performance and optimize analytical capabilities, ensuring minimal downtime and quick resolution of issues.

Works closely with subject matter experts and business stakeholders to identify, design, and develop efficient, end-to-end, high-quality data pipelines and models, and integrates them into product and business system workflows.

Builds and maintains the infrastructure required for optimal transformation and integration from a wide variety of data sources using appropriate data integration technologies. Deploys pipelines using scheduling and orchestration frameworks.

Serves as owner/steward for data, managing complex data systems for the Enterprise Data team.

Owns core data pipelines that power the organization's analytical metrics. Provides insights, monitors applications, handles user tickets, and analyzes and resolves data issues.

Applies data expertise to help architect, build, and launch scalable data pipelines to support the Company's growing data processing and analytics needs.

Implements data governance practices in partnership with business stakeholders and peers.

Ideates and creates proof of concepts per business requirements. Translates data and analytics needs from business partners into executable programs and ensures successful implementation.

Owns the continuous integration processes of our data pipelines that are built, tested, and released on various data orchestration frameworks.

Provides production support to resolve critical data pipeline and application issues, mitigating or minimizing any impact on data products and downstream analytics tools.

QUALIFICATIONS:

Education: Bachelor's degree in engineering, Computer Science, Information Systems or related field.

Experience: Minimum of 6+ years data engineering/developer experience in building and supporting data intensive applications, to include the following: 5-6 years experience with data management architectures (Data Warehouse, Data Lake, Data Hub) and supporting processes (data integration, governance, metadata management), DevOps capabilities (version control, automated builds, and release management tools using Git, Jenkins, etc.)

5 years experience with Mastery in SQL and with advanced analytics tools for object-oriented/scripting languages (Python, Java, Scala, etc.)

4 years experience designing, deploying, and maintaining data engineering pipelines and artifacts on Snowflake, DBT, Fivetran, Airflow & AWS stack, leveraging services such as EC2, ECS, Lambdas, AWS Step functions, Redshift, Tableau, AWS Glue

Experience with on-prem & relational platforms Oracle, SQL Server, PostGres , MySQL etc., and integration of cloud services with on premise technologies

Experience with data modeling, data mining, and predictive analysis

Experience in leveraging Observability tools such as Splunk/Datadog/New Relic/MonteCarlo or equivalent

REASONABLE ACCOMMODATION:

Jack in the Box Inc. and its affiliates will make reasonable accommodations to allow a qualified individual with a disability to enjoy equal employment opportunities and to perform the essential functions of the job. This position description should be applied accordingly. This description of duties is not intended to be all-inclusive or to limit management's discretion to assign other duties or responsibilities as necessary.

Jack in the Box Inc. offers a competitive salary and Total Rewards package that includes: medical, dental, vision, Health Savings Account (HSA), Flexible Spending Account (FSA), Life and Disability Plans, 401(k) plan with company match, Legal Plan, Pet Insurance, Tuition Reimbursement, and Employee Assistance Program.

Our culture is fun and innovative - 'Work Happy' with us!

The range for this position is $135,400 - $189,600 and is based on an employee located at our corporate headquarters in San Diego. If the candidate is hired in a different city to work remote, we will apply a geographic pay differential based on the cost of labor in the market in which the employee resides.

About Jack in the Box

Jack in the Box is an American fast-food restaurant chain that was founded in 1951 by Robert O. Peterson in San Diego, California. The company operates over 2,200 restaurants in 21 states and Guam. The chain is known for its signature item, the Jumbo Jack, as well as its tacos and curly fries. Jack in the Box also owns the Mexican fast-food chain Qdoba, which operates over 700 locations in the United States and Canada. The company is headquartered in San Diego, California.
Learn more about Jack in the Box
Size
5,300 employees
Market Cap
$1.4 billion
Industry
Net Income
$132.7 million
Founded
1951
5 Year Trend
+6%
Revenue
$1 billion
NASDAQ

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