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Salary
$48k per year
Location
In office (United States)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 27, 2026. Photon scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Photon is a digital transformation and IT services company with its registered office in Chennai, India, and US offices including Dallas, building mobile apps, ecommerce platforms, cloud services, APIs and AI solutions for large enterprises. Started in 1999, it has grown to more than 4,000 people and works with many Fortune 100 and Fortune 500 companies in retail, banking, technology and consumer sectors, running delivery centers in Chennai, Bengaluru and Pune. It hires Java and backend developers, Android and full stack engineers, SAP Commerce developers, QA and automation testers, business analysts, scrum masters and product managers in India and the US.

Role Overview

We need an experienced Data Engineer to build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. You will turn raw data from many sources into trusted datasets for analytics, reporting, and downstream applications.

Key Responsibilities

  • Design, build, and operate batch and incremental data pipelines using Python and SQL.
  • Develop and optimize data models and transformations in Snowflake.
  • Write automation and operational scripts to orchestrate, monitor, and troubleshoot data workflows.
  • Implement data quality checks, validation, lineage, and alerting.
  • Tune query performance and manage warehouse cost and resource usage.
  • Collaborate with analysts, data scientists, and application teams to understand requirements and deliver datasets.
  • Document pipelines, schemas, and data contracts.

Required Qualifications

  • 7+ years of experience in data engineering or a closely related field.
  • Strong Python skills and experience with scripting languages (for example Bash).
  • Advanced SQL, including complex joins, window functions, and performance tuning.
  • Hands-on experience with Snowflake (warehouses, stages, tasks, streams, role-based access).
  • Solid understanding of data warehousing, dimensional modeling, and ETL/ELT patterns.

Preferred Qualifications

  • Experience with orchestration tools (for example Airflow) and transformation frameworks (for example dbt).
  • Familiarity with AWS or GCP data services.
  • Exposure to data governance, security, and privacy practices.

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000

Maximum Compensation: USD 168,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.

This position is available for independent contractors

No applications will be considered if received more than 120 days after the date of this post.

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