Data Engineer – Databricks, BigQuery, Snowflake

🕒 April 16

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TENCYS

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $35k Pre seed on 2024-11

Consulting • Logistics • Healthcare

TENCYS is an AI-driven technology company that builds agentic AI, large language model (LLM) solutions, and enterprise software to automate and accelerate business decision-making. They offer AI/ML model development, analytics, cloud and integration services, and packaged frameworks and products (e. g. , Analytica 360, VeriX LLM, AgriGPT) for industries like agritech, fintech, healthcare, and logistics. TENCYS focuses on system integration, ethical innovation, and client-centric delivery to deploy scalable, autonomous agents and enterprise platforms.

📋 Description

• Design, develop, and optimize scalable data pipelines using SQL, Python, and PySpark • Build and maintain ETL workflows to transform raw data into structured, analytics-ready datasets • Collaborate with data scientists to deploy and integrate machine learning models into production environments • Work with cloud platforms such as AWS and Azure to manage and scale data infrastructure • Utilize Databricks and Snowflake for big data processing and data warehousing solutions • Implement workflow orchestration using tools like Apache Airflow to automate data pipelines • Manage infrastructure as code using Terraform for scalable and reliable deployments • Optimize data storage, retrieval, and performance across data warehouse systems • Ensure data quality, governance, and compliance using tools like Unity Catalog or Hive Metastore • Troubleshoot and resolve data pipeline issues while continuously improving system performance

🎯 Requirements

• 8+ years of experience in data engineering or related roles • Strong proficiency in SQL and Python for data processing and pipeline development • Hands-on experience with PySpark and large-scale data processing • Experience with ETL frameworks and data pipeline architecture • Working knowledge of cloud platforms such as AWS and Azure • Experience with Databricks and Snowflake environments • Familiarity with workflow orchestration tools like Apache Airflow • Experience with Terraform or similar infrastructure-as-code tools • Strong understanding of data warehousing concepts and best practices • Excellent problem-solving, analytical, and communication skills • Experience integrating machine learning or AI models into data pipelines is preferred • Exposure to data governance and cataloging tools such as Unity Catalog or Hive Metastore is preferred • Experience working in large-scale enterprise or consulting environments is preferred • Knowledge of performance tuning and optimization for big data systems is a plus • Familiarity with real-time data processing frameworks is a plus.

🏖️ Benefits

• This is a remote position • Opportunity to work on innovative data solutions