6 python data engineer jobs at 6 companies in Hermitage, PA
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Data Engineer
Wexford, Pennsylvania, United States
OnsiteFull Time
Armada: Manages complex supply chain operations for food service companies.
3+ YOEBS/MS in CS or related field, 3+ years data engineering experience, proficient in Python and SQL, experience with cloud platforms and data platforms (Snowflake, Databricks), strong problem solving and stakeholder communication.
Python, SQL, Git, Microsoft Azure, AWS, GCP, Snowflake, Microsoft Azure Synapse, Microsoft Azure Data Factory, Databricks, Microsoft Power BI, Spotfire, Cognos, Tableau, Qlik
Lab37: Developing automated robotic systems for commercial food production.
2+ YOE2+ years in data engineering or ML infrastructure; experience with workflow orchestration (Argo/Airflow/Prefect), Python/pandas, SQL, dbt, BigQuery/Athena, Kubernetes, Docker, ML training pipelines, and Terraform; on-call participation.
Atoms: Building robotics and software to automate physical world industries.
2+ YOE2+ years data engineering or ML infra experience, workflow orchestration (Argo/Airflow/Prefect), Python/pandas/SQL, dbt, BigQuery/Athena/S3, Docker/Kubernetes, Terraform, ML training pipelines, on-call participation.
Schneller: Manufacturer of decorative interior laminates and flooring for transportation.
Bachelor's in engineering or physical science, experience in manufacturing or lab/process engineering, strong analytical skills, data analysis and process improvement experience, programming with Python/SQL/MATLAB/R/C++ is a plus, ITAR eligibility required.
WECTEC Staffing Services: Provides technical staffing and contingent labor for energy industries.
5+ YOEBachelors in Software Engineering or related field, 5+ years database engineering experience, strong SQL and relational DB skills (MSSQL, Azure, MySQL, Oracle, PostgreSQL), DB design and optimization, familiarity with C#, Java, Python, ETL/ELT, CI/CD, and data warehousing.
KomatsuTokyo Stock Exchange: 6301: Manufactures and services construction, mining, and industrial heavy machinery.
Bachelor's or master's in CS/Data Science, experience developing in Snowflake, Palantir, Databricks and Azure, Python ML model development, CI/CD, and mentoring; travel <10%.