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Data Engineer II

Zeta · Basking Ridge, New Jersey · On Site · Active · Lever

Job facts

FieldValue
CompanyZeta
TitleData Engineer II
Normalized title-
Department / teamCTO Office / Engineering
LocationBasking Ridge, NJ, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-05-22 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zeta.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Basking Ridge.Open
Department jobsActive postings in CTO Office.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyZeta
Sourcee23354c3-2734-498b-9162-51fbbc0e3942
ATS providerLever

Description

About Zeta Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1,700+ employees across the US, EMEA, and Asia, with 70%+ roles in R&D. Backed by SoftBank, Mastercard, and other investors, we raised $330M at a $2B valuation in 2025. Learn more @ www.zeta.tech, careers.zeta.tech, Linkedin, Twitter\ About the Role As a Data Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources. Equal Opportunity Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success Responsibilities Data Pipeline Operations Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources. Ensure high-quality data by implementing monitoring, validation, and error-handling processes. Platform Engineering & Optimization Create and update data models to represent the structure of the data. Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues. Build and manage data warehouses for storage and analysis of large datasets. Collaborate on data modeling, schema design, and performance optimization for large-scale datasets. Data Quality and Governance: Implement and enforce data quality standards. Contribute to data governance processes and policies. Scripting and Programming: Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error handling mechanisms. Version Control: Use version control systems (e.g., Git) to manage codebase changes for data pipelines. Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability. Cloud Platforms: Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics. Security: Implement and adhere to data security best practices. Ensure compliance with data protection regulations. Troubleshooting and Support: Provide support for data-related issues and participate in root cause analysis. Skills Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala. Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). Experience and Qualifications Bachelor’s/Master’s degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development. Excellent command on SQL and one or more programming languages, preferably Python or Java. Knowledge of Flink, Airflow, Apache Spark, DBT (good to have), Athena / Presto Experience working with Kubernetes.

Full job record

Job ID957bd66a33bc09f4cd739ffa4503d72e247f897b
Org ID77b20a46-39ce-4b00-a0de-acb07c06052c
Source IDe23354c3-2734-498b-9162-51fbbc0e3942
Board IDe23354c3-2734-498b-9162-51fbbc0e3942
Providerlever
Provider Job Keyc7c7d877-199a-461f-a70b-c4cd1741277a
TitleData Engineer II
Normalized Title
Statusactive
Activeyes
Location TextBasking Ridge, New Jersey
DepartmentCTO Office
TeamEngineering
Employment TypeFull-time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNJ
CityBasking Ridge
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/zeta/c7c7d877-199a-461f-a70b-c4cd1741277a
Apply URLhttps://jobs.lever.co/zeta/c7c7d877-199a-461f-a70b-c4cd1741277a/apply
First Seen At2026-05-29 07:02:22Z
Last Seen At2026-06-06 07:57:27Z
Last Checked At2026-06-06 07:57:27Z
Last Changed At2026-05-29 07:02:22Z
Inactive At
Source Posted At2026-05-22 14:22:56Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zeta/date=2026-06-06/2026-06-06T07-57-26-652Z-5cef6f7800c272663f2210ceee160722a03d3c68e3f3a6b0cbf4ceeb666c3f2d.json
Event Fields
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  "last_changed_at": "2026-05-29T07:02:22.326Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "Basking Ridge",
    "region": "NJ",
    "country": "United States",
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    "confidence": 0.85
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  "salary_min": null,
  "inferred_at": "2026-06-06T07:57:27.407Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Basking Ridge, New Jersey",
      "city": "Basking Ridge",
      "region": "NJ",
      "country": "United States",
      "is_remote": false,
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  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "\n<li><strong>Data Pipeline Operations</strong></li>\n<li>Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources.</li>\n<li>Ensure high-quality data by implementing monitoring, validation, and error-handling processes.</li>\n<li><strong>Platform Engineering &amp; Optimization</strong></li>\n<li>Create and update data models to represent the structure of the data.</li>\n<li>Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues.</li>\n<li>Build and manage data warehouses for storage and analysis of large datasets.</li>\n<li>Collaborate on data modeling, schema design, and performance optimization for large-scale datasets.</li>\n<li><strong>Data Quality and Governance: </strong>Implement and enforce data quality standards. Contribute to data governance processes and policies.</li>\n<li><strong>Scripting and Programming: </strong>Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error handling mechanisms.</li>\n<li><strong>Version Control: </strong>Use version control systems (e.g., Git) to manage codebase changes for data pipelines.</li>\n<li><strong>Monitoring and Optimization: </strong>Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability.</li>\n<li><strong>Cloud Platforms: </strong>Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics.</li>\n<li><strong>Security: </strong>Implement and adhere to data security best practices. Ensure compliance with data protection regulations.</li>\n<li><strong>Troubleshooting and Support: </strong>Provide support for data-related issues and participate in root cause analysis.</li>\n"
    },
    {
      "text": "Skills",
      "content": "\n<li>Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala.</li>\n<li>Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).</li>\n"
    },
    {
      "text": "Experience and Qualifications",
      "content": "\n<li>Bachelor’s/Master’s degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development.</li>\n<li>Excellent command on SQL and one or more programming languages, preferably Python or Java.</li>\n<li>Knowledge of Flink, Airflow, Apache Spark, DBT (good to have), Athena / Presto</li>\n<li>Experience working with Kubernetes.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1779459776085,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
    "location": "Basking Ridge, New Jersey",
    "commitment": "Full-time",
    "department": "CTO Office",
    "allLocations": [
      "Basking Ridge, New Jersey"
    ]
  },
  "salaryRange": null,
  "workplaceType": "onsite"
}
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