Data Engineer

IBM

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
ParamusResearch Triangle ParkCharlotte, NCBoston, MAAtlanta, GADenver, COMinneapolis, MNDallas, TXHouston, TXAustin, TXChicago, ILNew York, NY
Posted
3 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k
$117k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

Employer

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 245 open roles on FindRole.

Listed pay typically runs $183,777–$221,730 across 10 roles with salary data.

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At a glance

TL;DR · Data Engineer

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As a Data Engineer within IBM Consulting, you will be embedded with client teams to design and deliver hands-on data solutions on the AWS and Databricks platforms. You will be responsible for re-engineering legacy data workloads, migrating Tier-1 applications from MySQL to Databricks Lakebase, and building end-to-end data pipelines. Your daily work involves integrating SAP data through SAP BTP and BDC Connect, creating domain-centric data products, and supporting AI use cases using GCP-based ML components. You must possess advanced expertise in Spark, Delta Lake, MLflow, Unity Catalog, SQL, and Python. Key tools include Fivetran, Kafka, Amazon EventBridge, and Terraform. You will establish engineering standards for CI/CD, testing, and observability while managing large data repositories to ensure scalability and performance across cloud-native environments.

What does a Data Engineer earn?

Median $167000 from 199 postings across 60 companies.

See salary data

Skills

Databricks AWS Python SQL Spark Delta Lake MLflow Unity Catalog Fivetran MySQL PostgreSQL Apache Iceberg Kafka Amazon EventBridge Amazon SQS Terraform CI/CD SAP BTP GCP Git

What you'll do

  • Design and build data pipelines and integrations using Fivetran, Databricks, and AWS services.
  • Lead the technical design and delivery for migrating Tier-1 applications from MySQL to Databricks Lakebase.
  • Integrate SAP data through SAP BTP and BDC Connect with non-SAP data sources.
  • Build prototypes and reference implementations and harden them for production use.
  • Support data and AI use cases, including integration with GCP-based ML and GenAI components.
  • Establish engineering standards for CI/CD, testing, observability, security, and cost control.
  • Manage and maintain large data repositories to ensure scalability and performance.
  • Create cloud-native data solutions tailored to specific client business objectives.

What we're looking for

  • Must possess a Bachelor's Degree.
  • Must be able to travel 4 days per week.
  • Must hold a Databricks Certified Data Engineer or Machine Learning Professional certification.
  • Must have advanced hands-on expertise in data engineering and solution architecture to design and deliver complex data solutions.
  • Must have strong hands-on expertise with Databricks (Spark, Delta Lake, MLflow, Unity Catalog), AWS, SQL, and Python.
  • Must have experience with relational databases like MySQL, database migration, Fivetran, and modern data-sharing patterns.
  • Must have experience with Delta Lake, Apache Iceberg, Kafka, Amazon EventBridge, Amazon SQS, Terraform, and CI/CD practices.
  • Experience with Databricks Lakebase, SAP BTP, GCP ML/GenAI services, or the utilities/energy industry (preferred).

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