Senior Data Engineer

IBM

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Work type: On-site
Location: —
Posted: 21 days ago
Freshness: Confirmed live today

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How this pay compares to similar roles

Similar $182k

$109k $225k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,500–$214,000.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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Senior Data Engineer - Google Platforms As a Senior Data Engineer - Google Platforms within IBM Consulting, you will design, build, and maintain data engineering solutions on the Google Cloud ecosystem. You will develop batch and real-time data pipelines, manage data migrations, and design data layers to ensure high-quality delivery for Data Warehouses and Datalakes. Your daily work involves utilizing Google DataProc, DataFlow, PubSub, BigQuery, BigTable, Cloud Spanner, CloudSQL, and AlloyDB. You will also employ open-source technologies including Apache Airflow, dbt, Spark, Python, and Scala. Key responsibilities include scheduling platform operations using Google Cloud Scheduler and Cloud Composer. You will collaborate with stakeholders to optimize data solutions, ensuring all technical architectures align with specific business objectives and requirements across various industries.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

BigQuery DataFlow DataProc PubSub Apache Beam Python Spark Hadoop Apache Airflow Cloud Composer BigTable Cloud Spanner CloudSQL AlloyDB dbt Cloud Storage Scala Data Warehouse Datalake

What you'll do

Design and build data pipelines using Google DataProc, DataFlow, PubSub, and BigQuery.
Develop data engineering solutions using Google Cloud Storage, BigTable, and Spark.
Manage data platform operations using Google Cloud Scheduler and Cloud Composer.
Develop batch and real-time pipelines for Data Warehouse and Datalake environments.
Ensure high-quality data delivery through continuous pipeline monitoring and management.
Optimize data solutions to ensure alignment with specific business objectives.
Maintain data engineering solutions across the entire Google Cloud ecosystem.

What we're looking for

Experience designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem.
Experience with Google DataProc, DataFlow, PubSub, BigQuery, BigTable, Cloud Spanner, CloudSQL, and AlloyDB.
Experience developing batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud Storage and Spark/Hadoop.
Experience scheduling and managing data platforms using Google Cloud Scheduler and Cloud Composer (Airflow).
Experience with open source technologies like dbt, Spark/Python, or Spark/Scala (preferred).
Experience with advanced data engineering tools to ensure seamless integration and data flow (preferred).
Experience optimizing data solutions and collaborating with stakeholders to drive business outcomes (preferred).
Bachelor's Degree.

10+ yrs exp Hybrid

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Senior Data Engineer

Accenture

Albany, NY +42 9 days ago $94,400–$266,300

Google Cloud Platform BigQuery Vertex AI Gemini Foundation Models Dataflow Dataproc Pub/Sub Looker Python SQL MLOps RAG CI/CD Git Dataplex Cloud Storage IAM

5+ yrs exp Hybrid

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