Data Engineer

Experience:

Location:

Engagement:

About the Project

InCommon is hiring on behalf of Podifi to support a Fortune 500 client on a large-scale database migration initiative. The project involves transitioning from Fivetran to Nexla, with Snowflake as the target data platform. This role is critical for ensuring a smooth migration, maintaining data quality, and enabling scalable operations across multiple workloads. Timelines are aggressive, with immediate onboarding prioritized.

Role Overview

We are seeking hands-on Data Engineers with strong data migration experience and exposure to diverse database systems.

• Migrate ETL pipelines and plugins from Fivetran into Nexla/Snowflake.
• Build automation for ingestion, transformation, and observability.
• Deliver under tight deadlines in a fast-paced environment.

technical contributor role

Key Responsibilities

• Execute migrations from Fivetran and other legacy connectors into

  Snowflake/Nexla

  .
• Design and maintain ETL pipelines using

  Python, PySpark, DBT

  , and related tools.
• Build and optimize

  API-based integrations

  (authentication, pagination, automation).
• Ensure

  data quality, consistency, and monitoring

  across pipelines.
• Contribute to

  prioritization and phased delivery

  of ~1,500+ plugins.

Required Skills & Experience

• 3–6 years

  in data engineering or ETL development, with

  hands-on migration work

  .
• Strong knowledge of

  Snowflake

  (data ingestion, transformation, optimization).
• Proficiency in

  Python

  for scripting and automation.
• Experience with

  PySpark, DBT

  , and API-driven data integrations.
• Familiarity with

  AWS/cloud-hosted data solutions

  and observability.
• Solid track record in

  ETL → Data Engineering transition

  .

Nice to Have

• Prior experience with

  large-scale plugin migrations

  .
• Familiarity with

  Fivetran, Nexla

  , or similar aggregation platforms.
• Ability to balance

  scripting-level problem-solving

  with broader data engineering.
• Comfort working in

  time-sensitive, high-stakes environments

  .