6 engineer platform analytics jobs at 6 companies in Youngstown, OH
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ANALYTICS ENGINEER
Solon, Ohio, United States
$60k-$70k/yrOnsiteFull Time
Gardiner: Provides HVAC systems, building automation, and energy efficiency solutions.
Understanding of HVAC and building systems, data analysis and visualization skills, experience with customer-facing support, and competency with Microsoft tools and analytics platforms.
Microsoft Suite Tools, Microsoft Power Query, Power BI, Niagara N4, Distech, JCI FX
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.
Signet JewelersNYSE: SIG: Global retailer of diamond jewelry and professional jewelry services.
Expert SQL and Python skills, data modeling experience, hands-on Adobe AEP and RTCDP experience, familiarity with AWS data services (S3, Redshift, Glue), and cloud data platforms (Snowflake, BigQuery, Azure).
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
Diebold NixdorfNYSE: DBD: Provides hardware and software for banking and retail transactions.
8+ YOE2+ MgmtBachelor's degree or equivalent experience; 8–10 years in data engineering, architecture, or platforms; 2–4 years of leadership; cloud data, governance, modeling, and English communication expertise.