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Senior Data EngineerData MeaningUnited States

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Senior Data Engineer

Data Meaning
  • US
    United States
  • US
    United States

About

Senior Data Engineer Location:
Remote, US based Position type:
TBD
Job Summary
Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. Position Summary The
Senior Data Engineer
will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on
pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework
within a Snowflake environment. This role will work closely with the
Lead Data Architect and the client’s engineering team , participating in knowledge transfer sessions.
Key Responsibilities: Develop and maintain
ELT pipelines
using Snowflake, Python, and Apache Airflow Implement
data ingestion and transformation logic
for batch and incremental pipelines Convert existing
SQL transformations into dbt models Implement
dbt testing frameworks
(schema, relationship, freshness tests) Participate in
pipeline walkthroughs and knowledge transfer sessions
with the existing team Document
data pipelines and operational procedures Support the
transition from vendor-managed pipelines to Data Meaning ownership Monitor
production pipelines and data workflows Troubleshoot
pipeline failures and operational issues Improve
monitoring, alerting, and operational reliability Implement
automated data validation and quality checks Support the development of a
data quality framework
Required Skills & Qualifications:
Advanced/fluent english 8+ years of experience in Data Engineering Hands-on experience with
Snowflake Experience working with
Apache Airflow Strong
SQL (advanced)
skills Strong
Python
programming skills Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental,
pipelines, Data ingestion pipelines Experience working in
cloud environments (AWS preferred) Nice to Have Experience implementing
dbt Experience with
data platform migrations Experience with
data pipeline performance optimization
  • United States

Languages

  • English
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