Data Engineer

16 Minutes ago • 4 Years +
Data Analysis

Job Description

This role involves designing, building, and maintaining robust data pipelines for ingestion, transformation, and analytics using technologies like Spark, Airflow, Kafka/Kinesis. The Data Engineer will develop APIs and microservices for data access, write production-ready code for batch and real-time processing, and manage data models and feature stores. Key requirements include 4+ years of experience with cloud-based distributed systems (AWS preferred), proficiency in Python, Java, or Scala, and strong SQL skills.
Good To Have:
  • Experience with search technologies such as Open Search, Elastic Search or Vector Search.
  • Familiarity with machine learning and AI pipelines including platforms like SageMaker, Bedrock or Databricks.
  • Knowledge of data governance, observability, and quality frameworks.
  • BS/MS in Computer Science, Data Engineering, or related field (or equivalent experience).
Must Have:
  • Design, build and maintain robust data pipelines for ingestion, transformation, and analytics.
  • Develop and support APIs, utilities, and microservices to enable data access.
  • Write reliable, production-ready code to transform and deliver data.
  • Build and handle data models, metrics and feature stores.
  • Ensure data quality, observability and lineage.
  • 4+ years building data intensive distributed systems and production grade pipelines in the cloud (AWS preferred).
  • Proficiency in Python, Java or Scala with strong software engineering fundamentals.
  • Experience with Spark/EMR, Glue, Airflow and streaming systems such as Kafka or Kinesis.
  • Strong SQL skills and experience working with structured and unstructured data.
  • Familiarity with CI/CD automation, Docker/Kubernetes, and API development standards.
Perks:
  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Participation in employee stock purchase plan
  • Competitive health benefits
  • Parental leave
  • Employee Resource Groups
  • Support for entrepreneurs/side hustles

Add these skills to join the top 1% applicants for this job

game-texts
aws
spark
ci-cd
docker
microservices
kubernetes
python
sql
scala
java
machine-learning

What you'll get to do...

  • Design, build and maintain robust data pipelines for ingestion, transformation, and analytics using Spark, Airflow, and streaming technologies like Kafka/Kinesis.
  • Develop and support APIs, utilities, and microservices to enable data access for internal applications and machine learning products.
  • Write reliable, production-ready code to transform and deliver data for both batch and real time processing.
  • Build and handle data models, metrics and feature stores to drive recommendations, personalization and analytics.
  • Ensure data quality, observability and lineage, while collaborating with multi functional teams to deliver impactful, data driven solutions.

Your experience should include...

  • 4+ years building data intensive distributed systems and production grade pipelines in the cloud (AWS preferred).
  • Proficiency in Python, Java or Scala with strong software engineering fundamentals.
  • Experience with Spark/EMR, Glue, Airflow and streaming systems such as Kafka or Kinesis.
  • Strong SQL skills and experience working with structured and unstructured data.
  • Familiarity with CI/CD automation, Docker/Kubernetes, and API development standards.

You might also have...

  • Experience with search technologies such as Open Search, Elastic Search or Vector Search for domain similarity and semantic enrichment.
  • Familiarity with machine learning and AI pipelines including platforms like SageMaker, Bedrock or Databricks.
  • Knowledge of data governance, observability, and quality frameworks, with a focus on building reliable and scalable data systems.
  • BS/MS in Computer Science, Data Engineering, or related field (or equivalent experience).

We've got your back...

We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us...

GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy._

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

##### Apply Now and Join the #GoDaddyLife today!

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