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Data Engineer

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. 
 

phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

Required Experience: 

  • 1-4 years experience as a Software Engineer, Data Engineer or Data Analyst
  • Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
  • Programming expertise in Java, Python and/or Scala 
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations 
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
  • 4-year Bachelor's degree in Computer Science or a related field
  • Strong English communication skills (written and verbal)

Prefer any of the following:

  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
  • Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
  • Multiple data sources (e.g. queues, relational databases, files, search, API)
  • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
  • Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
  • Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Why phData? We offer:

  • Remote-First Work Environment 
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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What You Should Know About Data Engineer, phData

Join phData as a Data Engineer and become part of our innovative family that's leading the way in the modern data landscape. Our vibrant team works remotely across LATAM, the US, and India, collaborating with top cloud platforms like Snowflake, AWS, Azure, GCP, and more. As a Data Engineer, you'll dive into the exciting realm of data solutions, crafting and delivering end-to-end technical solutions that ensure seamless integration and stellar performance. If you have a knack for programming in Java, Python, or Scala and a solid understanding of SQL, you're already a fantastic fit! At phData, we value creativity, autonomy, and a casual workplace culture where your talents can truly shine. Plus, you’ll have access to ongoing professional development and training opportunities. With awards as a top partner in key cloud technologies and recognition as a great place to work, we embrace diversity and strive to create an inclusive environment for all our team members. If you’re ready to take your career to the next level and help global enterprises tackle their most pressing data challenges, we want to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer Role at phData
What responsibilities does a Data Engineer at phData have?

As a Data Engineer at phData, you'll be responsible for developing and deploying end-to-end technical solutions that ensure performance, security, scalability, and robust data integration. Your role will involve utilizing core cloud data platforms and programming languages like Java, Python, or Scala to create effective data solutions. Additionally, you'll work on client-facing projects, which will require strong communication skills to present detailed documentation and solutions.

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What qualifications do I need to apply for the Data Engineer position at phData?

To apply for the Data Engineer position at phData, you should possess a Bachelor's degree in Computer Science or a related field along with 1-4 years of experience as a Software Engineer, Data Engineer, or Data Analyst. Proficiency in programming languages such as Java, Python, or Scala, plus a solid understanding of SQL, will be crucial for success in this role.

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What experience is preferred for Data Engineers at phData?

While experience in software development and data engineering is essential for the Data Engineer role at phData, we prefer candidates who have production experience with core data platforms like Snowflake, AWS, Azure, GCP, and Databricks. Familiarity with data integration technologies like Kafka, Spark, and AWS Data Migration Services can set you apart as a strong candidate.

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What is the company culture like for Data Engineers at phData?

At phData, you’ll find a casual and collaborative work environment that empowers Data Engineers to take ownership of their work. We celebrate the diversity of our team members and prioritize creative problem-solving and open communication. With a remote-first approach, we ensure that everyone feels included and valued while fostering a culture of technological curiosity.

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What benefits does phData offer its Data Engineers?

As a Data Engineer at phData, you'll enjoy a remote-first work environment, competitive compensation, an excellent benefits package, generous paid time off, and opportunities for professional development. We prioritize each employee's growth with advanced training and certifications, enabling you to stay at the forefront of the data industry.

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Common Interview Questions for Data Engineer
Can you describe your experience with cloud data platforms as a Data Engineer?

When answering this question, highlight specific projects where you utilized platforms like Snowflake or AWS. Discuss the challenges you faced, how you overcame them, and the outcomes of your projects.

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How do you approach data integration in your projects?

Outline your process for identifying data sources, ensuring data quality, and choosing the right tools for integration. Mention any technologies you’ve used, such as Apache Kafka or AWS Data Pipeline.

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What programming languages are you proficient in, and how have you applied them?

Discuss your proficiency in languages like Python, Java, or Scala, and provide examples of applications where you coded for data processing, transformation, or analysis.

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Explain how you optimize SQL queries and why it's important.

Mention techniques such as indexing, proper joins, and query restructuring. Emphasize the importance of optimization for performance, particularly when handling large datasets.

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Can you describe a challenging data engineering project you've worked on?

Provide a specific example of a project that posed technical challenges. Focus on your problem-solving approach, the technologies you used, and how you delivered results.

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What strategies do you use for ensuring the security and compliance of data?

Discuss your familiarity with data security practices, such as encryption and access control, as well as compliance frameworks that you've implemented in your previous roles.

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How do you handle client communications and presentations?

Talk about your experience in preparing detailed documentation and presentations for clients. Emphasize clarity, structure, and tailoring your communication style to your audience.

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How do you keep up to date with the latest trends in data engineering?

Mention resources you use, such as online courses, webinars, industry conferences, or tech blogs. Discuss how you apply new knowledge to your projects.

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What is your experience with version control systems?

Share your experience with tools like Git, explaining how you’ve used version control in your coding projects to manage changes and collaborate with team members.

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Describe your experience with automated data pipelines.

Discuss tools or frameworks you’ve used for creating automated data pipelines, such as Apache Airflow or dbt, and the efficiencies this brought to your workflow.

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phData is the perfect mix of services and automation to create solid data platforms, outstanding data products, and value-generating machine learning systems in the cloud. phData guides the world's largest brands in cloud data platforms, data engi...

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Full-time, remote
DATE POSTED
April 9, 2025

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