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Sr. Data Engineer

Numerator

United StatesJobNo compensation foundTracked 3w agoSeen in employer's feed 2 days ago
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At a glance

Compensation
No compensation found
Location
United States
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Numerator is hiring a Sr. Data Engineer. The role seeks a highly skilled Senior Data Engineer to design, build, and optimize high‑volume data pipelines, leveraging Python, Azure Databricks, DevOps, CI/CD, AI/ML techniques, and big‑data frameworks such as Apache Spark and PySpark. The candidate will collaborate with business analysts and senior data developers, adhere to coding standards, and contribute to sprint planning and delivery.

Key focus areas include Adhere to coding and Numerator technology standards, Build suitable automation test suites within Azure DevOps, and Maintain and update automation test suites as required.

Important skills include Designing High-Volume Data Pipelines, Building High-Volume Data Pipelines, Optimizing High-Volume Data Pipelines, Python, Databricks On Azure Cloud Services, and DevOps. Preferred (not required): AI/ML Techniques.

Skills & qualifications

RequiredNice to have

Skills

Designing High-Volume Data PipelinesBuilding High-Volume Data PipelinesOptimizing High-Volume Data PipelinesPythonDatabricks on Azure Cloud ServicesDevOpsCI/CD ToolsApache SparkPySparkCoding StandardsNumerator Technology StandardsAutomation Test SuitesManual TestingLoad TestingExploratory TestingAgile MethodologiesScrumKanbanAI/ML Techniques

Qualifications

7-10 Years Data Engineering ExperienceMicrosoft Azure Cloud ExperienceBachelor's or Master's Degree in Computer ScienceBachelor's or Master's Degree in Information TechnologyExperience in a Support Focused RoleCertification in Relevant Data Engineering Discipline or Related Fields

Full job description

We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark.

Responsibilities

  • Adhere to coding and Numerator technology standards

  • Build suitable automation test suites within Azure DevOps

  • Maintain and update automation test suites as required

  • Carry out manual testing, load testing, exploratory testing as required

  • Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals

  • Assist in estimation of sprint-by-sprint stories and tasks

  • Pro-actively take a responsible approach to product delivery

Requirements

  • 7-10 years of experience in data engineering roles

  • Good Python skills

  • Experience working with Microsoft Azure Cloud

  • Experience in Agile methodologies (Scrum/Kanban)

  • Experience with Apache Spark, PySpark, Databricks

  • Experience working with Devops pipeline, preferably Azure DevOps

Preferred Qualifications

  • Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.

  • Experience working in a support focused role

  • Knowledge/experience in AI ML techniques

  • Certification in relevant Data Engineering discipline or related fields.

You've read the whole posting — now see how you match it.

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