9 python data engineer jobs at 6 companies in South Bend, IN
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Data Engineer – IBM Quantum
Research Triangle Park or Yorktown Heights or Austin or Chicago or New York
$116k-$200k/yrHybridFull Time
IBMNew York Stock Exchange: IBM: Global technology providing enterprise software, cloud, and consulting.
Bachelor's degree required; Master's preferred. Strong data pipeline design, ETL/ELT, SQL (PostgreSQL/Presto), Python, Airflow, Kafka, and data lakehouse experience. Visa sponsorship not provided. Hybrid work in multiple U.S. locations.
Better World Books: Online bookstore selling used books to fund global literacy.
5+ YOEBachelor's degree required, 5+ years in data or analytics engineering, advanced SQL and Python, experience with ML lifecycle and production ML systems, ETL/ELT and data pipeline development, Power BI and data warehousing.
SQL, Microsoft SQL Server, Python, scikit-learn, PyTorch, XGBoost, GBDT, dbt, SSIS, Airflow, Prefect, Power BI, Snowflake, Azure, AWS, Git, CI/CD, Claude Code, GitHub Copilot, Cursor
Chicago or Dallas or Denver or Oakbrook Terrace or Grand Rapids or Houston or South Bend or Austin or Indianapolis or Tampa or Plano or Boston
$115k-$184k/yrRemoteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
5+ YOEBachelor's in CS or related, 5+ years data engineering or consulting experience, strong Python/SQL skills, experience with Microsoft Fabric/Databricks/MuleSoft, client-facing and team leadership experience.
Python, SQL, Scala, Spark, Microsoft Fabric, Databricks, MuleSoft, Anypoint Platform, Microsoft Azure, AWS, GCP, REST APIs, Kafka, Microsoft Event Hubs, Purview, Unity Catalog, MLflow, Delta Lake, DataWeave, Microsoft Data Lake Storage, Microsoft Azure Data Factory, Microsoft Synapse Analytics, Microsoft Azure SQL
Director, Data Governance, Strategy & Engineering (71714)
Riverview or Saint Joseph
OnsiteFull Time
WhirlpoolNYSE: WHR: Manufactures and markets home laundry and kitchen appliances.
10+ YOE10+ years in data architecture/engineering and data leadership; strong GCP/BIGQuery, Python, Spark, DBT; experience with SAP S4/HANA and BDC; AI/data fabric focus; excellent communication.
Whirlpool CorporationNYSE: WHR: Global manufacturer of home kitchen and laundry appliances.
10+ YOE5+ MgmtBachelor's in STEM, 10+ years in data architecture/engineering/strategy, 5+ years leading MDM programs; deep GCP (BigQuery, Dataflow, Pub/Sub), DBT, Python, Spark; SAP S4/HANA and BDC integration; data governance experience.
Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, DBT, Python, Spark, SAP S4/HANA, Business Data Cloud (BDC), Looker, Tableau, SAP MDG, Collibra
Whirlpool CorporationNYSE: WHR: Global manufacturer of home kitchen and laundry appliances.
1+ YOEBachelor's in Engineering, 1+ years new product development experience; experience with C, Python, JavaScript and embedded software; algorithm design, software testing, prototyping, data acquisition, and Six Sigma basics preferred.
International Motors: Manufacturer of commercial trucks, buses, and diesel engines.
1+ YOEBachelor's in engineering (or master's), minimum 1 year product design/development or computer science experience; experience with data acquisition, sensors, durability testing, and strong problem-solving and communication skills.
nCode, Dewesoft, Microsoft Excel, Python, Matlab, VBA
Zimmer BiometNYSE: ZBH: Manufactures orthopedic implants and robotic surgical systems.
5+ YOEBachelor's in IT or related and 5+ years designing/administrating enterprise storage (DELL, Pure, Brocade), NAS/Object experience, Windows/Linux/VMWare familiarity, strong troubleshooting and data center skills.
DELL, Pure, Brocade, PowerMax, PowerStore, Pure FlashArray, PowerScale, FlashBlade, Microsoft Windows, Linux, VMWare, Python, PowerShell, EMC, ITIL
University of Notre Dame: Catholic research university providing higher education and academic research.
PhD by start date, strong skills in Python or R, data engineering and geospatial experience, harmonizing heterogeneous datasets, and experience applying ML/AI to environmental or socioeconomic data.
Python, R, APIs, large language models, natural language processing, AI, machine learning