Data Engineer

IBM

Confirmed live today High trust

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Work type: On-site
Location: ParamusResearch Triangle ParkDenver, COCharlotte, NCBoston, MAAtlanta, GAMinneapolis, MNDallas, TXHouston, TXAustin, TXChicago, ILNew York, NY
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $164k

$116k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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 246 open roles on FindRole.

Listed pay typically runs $180,812–$215,000 across 9 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, developing prototypes, and establishing engineering standards for CI/CD, testing, and observability. You will utilize a technical stack including Spark, Delta Lake, MLflow, Unity Catalog, SQL, Python, Fivetran, Kafka, Amazon EventBridge, and Terraform. This role solves complex data migration and architecture problems, creating scalable, cloud-native data products and supporting AI use cases across AWS and GCP environments.

What does a Data Engineer earn?

Median $165150 from 205 postings across 62 companies.

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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 migration of Tier-1 applications from MySQL to Databricks Lakebase, including schema re-design and validation.
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.
Design end-to-end data solutions across multiple platforms to meet 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, and open table formats including schema evolution and optimization.
Must have hands-on experience designing scalable data platforms using Kafka, Amazon EventBridge, Amazon SQS, Terraform, and CI/CD.
Experience with Databricks Lakebase or similar managed PostgreSQL/OLTP-on-lakehouse technologies (preferred).
Knowledge of SAP BTP, BDC Connect, SAP extraction patterns, or SAP IS-U (preferred).
Exposure to GCP ML/GenAI services and cloud-native solution design across AWS and GCP (preferred).
Experience with Git-based version control and branching strategies for data workloads (preferred).
Experience in the utilities or energy industry with relevant Databricks and/or AWS certification (preferred).

5+ yrs exp Hybrid

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Data Engineer

Booz Allen Hamilton

Fort Meade, MD 59 days ago

Data Engineering ETL AWS Azure AI/ML Data Pipelines Data Governance Data Normalization Dashboards Metrics Exploratory Analysis Feature Development IoT Machine Learning

4+ yrs exp

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