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Senior Data Engineer

Remote from
LATAM flag
LATAM
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department
Data Science & Analytics
Employment type
Full Time,
Job posted
Apply before
12 Jul 2026
Experience level
Senior
Views / Applies
12 / 0
About company Share

About phData

phData is the leading AI & data services company partnering with the world's top brands to execute data initiatives in artificial intelligence, data engineering, applications, analytics, and cloud platform operations.

Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

phData is seeking a Senior Data Engineer to join their remote-first, award-winning team. The role involves designing and implementing end-to-end data solutions on cloud platforms like Snowflake, AWS, Azure, and GCP. Candidates need strong programming skills in Python/Java/Scala, SQL expertise, and client-facing communication abilities. The company offers a collaborative culture with autonomy, competitive compensation, and excellent benefits. This position is ideal for experienced data engineers who thrive in a fast-paced, innovative environment.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires deep technical expertise across multiple cloud data platforms, programming languages, and data integration tools, as well as client-facing skills, making it challenging and suitable for senior-level engineers.

Salary Analysis

Median Highly Competitive
$150,000
US Market
$120k – 180k
0 $198k
AI Insight The salary range for this Senior Data Engineer role is not explicitly stated, but the market median for similar roles in the US is approximately $150,000 per year. Given phData's competitive compensation philosophy, the offered salary is likely to be within the market range, potentially on the higher end for top performers.

Key Skills

Python SQL Snowflake AWS Azure GCP Databricks Spark dbt Data Engineering

Dear Hiring Manager,

I am excited to apply for the Senior Data Engineer position at phData. With over 5 years of experience designing scalable data pipelines on cloud platforms like Snowflake, AWS, and Azure, I have a proven track record of delivering end-to-end solutions that drive business value. My expertise in Python, SQL, and Spark, combined with strong client communication skills, aligns perfectly with the requirements of this role.

I am particularly drawn to phData's remote-first culture and commitment to innovation. In my previous role, I led a team to migrate a legacy data warehouse to Snowflake, improving query performance by 40% and reducing costs. I thrive in collaborative environments that value autonomy and creativity, and I am eager to contribute to phData's continued success.

Thank you for considering my application. I look forward to the opportunity to discuss how my skills and experience can benefit your team.

Sincerely,
[Your Name]

Describe a complex data pipeline you designed and implemented. What were the key challenges and how did you overcome them?
I built a real-time streaming pipeline using Kafka and Spark to ingest customer transaction data. Challenges included handling late-arriving data and ensuring exactly-once semantics. We implemented watermarking and used checkpointing to achieve fault tolerance, resulting in a 99.9% uptime.
How do you optimize SQL queries in Snowflake? Provide an example.
I focus on pruning partitions, using clustering keys, and avoiding SELECT *. For instance, I optimized a slow join by clustering the fact table on the join key and using appropriate warehouse size, reducing query time from 5 minutes to 10 seconds.
Explain your experience with cloud platforms like AWS or Azure. Which services have you used for data engineering?
I have extensive experience with AWS services such as S3, Redshift, Glue, and Lambda. For example, I used Glue for ETL jobs and S3 as a data lake, with Athena for ad-hoc queries. I also configured IAM roles for secure access.
How do you ensure data quality and reliability in your pipelines?
I implement data validation checks at each stage, use schema registry for consistency, and set up monitoring and alerting. For example, I used Great Expectations to detect anomalies and automated retries with Airflow.
Describe a time when you had to communicate a technical solution to a non-technical stakeholder. How did you approach it?
I presented a migration plan to a business team using simplified diagrams and focused on business benefits like cost savings and faster reporting. I avoided jargon and used analogies, which helped gain their buy-in.

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.

Recognized as an award-winning workplace in the US, India, and LATAM

Required Experience: 

  • At least 4+ years experience as a Data Engineer, Software 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 English 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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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