Senior Data Engineer

17 hours ago

Remote, Oregon, United States NEOGOV Full time $120,000 - $240,000 per year

Salary

Depends on Qualifications

Location

Remote

Job Type

Full-Time

Job Number

00750

Department

Research & Development

Division

India

Opening Date

11/20/2025

What You Will do

We are looking for a Senior Data Engineer to join our data engineering team. The ideal

candidate will be a hands-on technical expert with strong experience in Snowflake and dbt,

capable of designing, building, and maintaining modern data pipelines and architectures.

You will play a key role in shaping our data infrastructure, enabling analytics, and ensuring

scalable and efficient data solutions across the organization.

Key Responsibilities

? Design, develop, and optimize data pipelines and data models in Snowflake using

dbt.

? Collaborate with data analysts, Product, and application teams to ensure

high-quality, reliable data delivery.

? Implement data lake architectures and manage ingestion, transformation, and

orchestration workflows.

? Work with cloud infrastructure (preferably AWS) to design and manage scalable,

secure, and cost-effective data solutions.

? Integrate and manage data from various transactional systems (e.g., SQL Server,

Oracle, PostgreSQL, etc.).

? Optimize data performance and query efficiency, ensuring scalability and

maintainability.

? Maintain data governance, security, and compliance best practices.

? Provide technical mentorship and contribute to data engineering standards and best

practices.

Required Qualifications

? 7+ years of experience in data engineering, with a strong focus on Snowflake

(data modeling, optimization, and security).

Krishnai, Plot No. 2, S.No.29/2D/2F/2, Kothrud, Pune, Maharashtra
• India
• india-

NGV Software India Private Limited

? 3+ years of hands-on experience with AWS cloud services (S3, Glue, Lambda,

Redshift, etc.).

? Proficiency with dbt for transformation, testing, and documentation.

? Mid-level expertise in at least one transactional RDBMS such as SQL Server,

Oracle, or PostgreSQL.

? Experience designing and managing data lake architectures.

? Deep expertise in SQL and Python (or similar scripting language).

? Strong understanding of the software development lifecycle and Devops practices,

including CI/CD pipelines.

? Solid understanding of ETL/ELT pipelines, data orchestration, and data quality

frameworks.

? Proficiency in data modeling techniques (e.g., dimensional, denormalized) and the

ability to apply them appropriately.

? Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications

  • Experience with CI/CD pipelines for data workflows.
  • Knowledge of data cataloging, governance, and security frameworks.
  • Exposure to streaming data technologies (Kafka, Kinesis, etc.).
  • Experience in a modern data stack environment.

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