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.

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)


• Fivetran, dbt, Atlation, and AWS Partner of the Year


• #1 Partner in Snowflake Advanced Certifications


• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

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

Role Overview

We are looking for a Data Engineer to join our Data Engineering team. In this role, you will design, build, and productionize end-to-end cloud data solutions that are secure, scalable, performant, and robustly integrated across systems. You will collaborate closely with client stakeholders, data engineers, architects, and engagement leaders to deliver high-quality solutions and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

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  Own and drive the design, development, and deployment of end-to-end data solutions and pipelines for enterprise clients.

  
  


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  Translate business requirements into technical data architectures, integration patterns, and models that align with phData methodologies, standards, and best practices.

  
  


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  Ensure solutions meet performance, security, reliability, and scalability requirements in production environments.

  
  


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  Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

  
  

Collaboration & Leadership

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  Collaborate with cross-functional partners including data engineering, software engineering, analytics, and platform teams to deliver successful client engagements.

  
  


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  Provide technical leadership during design and code reviews, proof-of-concepts, and implementation workshops.

  
  


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  Ensure high quality in deliverables through testing, documentation, and adherence to governance and change management processes.

  
  


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  Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable patterns and components.

  
  

Practice & Firm Contribution

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  Contribute to internal initiatives such as developing accelerators, templates, playbooks, and best practices for cloud data platforms.

  
  


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  Create clear technical documentation, including architectures, roadmaps, and operational runbooks, that can be reused across engagements.

  
  


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  Share knowledge with peers through mentoring, informal coaching, and internal communities of practice.

  
  


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  Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

  
  

About You

You are a client-focused data engineer and problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

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  4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.

  
  

Technical / Functional Skills

• Ability to develop end-to-end technical solutions into production, with a strong focus on performance, security, scalability, and robust data integration.


• Programming expertise in Python and/or Scala for data processing, automation, and orchestration.


• Hands-on experience with core cloud data platforms including Snowflake, AWS, Azure, and/or Databricks.


• Strong SQL skills, including the ability to write, debug, and optimize complex queries.


• Experience creating and delivering detailed technical presentations for client and internal stakeholders.


• Experience producing detailed solution documentation (e.g., POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, and related artifacts).

Consulting / Delivery Skills

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  Experience delivering projects for external or internal clients in a professional services or consulting environment.

  
  


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  Ability to break down complex problems into structured, actionable steps and drive them through to completion.

  
  


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  Strong client-facing written and verbal communication skills in English.

  
  

Collaboration & Ownership

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  Demonstrated ability to work effectively with distributed and cross-functional teams.

  
  


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  Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.

  
  

Education:

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  4-year Bachelor’s degree in Computer Science or a related field.

  
  

Preferred Qualifications

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  Production experience in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, and/or Databricks.

  
  


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  Experience with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.

  
  


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  Experience with modern data integration and streaming technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, Informatica Intelligent Cloud Services (IICS), Google Dataproc, or similar tools.

  
  


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  Experience working with multiple data sources (e.g., queues, relational databases, files, search, APIs).

  
  


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  Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment of data-intensive applications.

  
  


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  Experience with automated data transformation and data curation using dbt, Spark, Spark Streaming, and automated data pipelines.

  
  


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  Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.

  
  


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  Experience in [specific industry verticals or problem spaces relevant to the role].

  
  


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  Hands-on experience with [preferred tools, platforms, or methodologies].

  
  


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  Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.

  
  


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  Contributions to [open source, communities, speaking, writing, or internal accelerators] are a plus.

  
  

Location & Time Zone Expectations

This role is based in India and operates primarily in India business hours (IST) with some flexibility for global collaboration.

• We are a remote-first company, and you should be comfortable working with a distributed global team.


• Some flexibility may be required to collaborate across time zones with colleagues and clients.


• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.


• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.


• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.


• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

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  Remote-First Workplace

  
  


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  Medical Insurance for Self & Family

  
  


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  Medical Insurance for Parents

  
  


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  Term Life & Personal Accident

  
  


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  Wellness Allowance

  
  


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  Broadband Reimbursement

  
  


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  Continuous learning and growth opportunities to enhance your skills and expertise

  
  


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  Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content