Senior Data Engineer – Databricks, AWS

Job not on LinkedIn

🕒 July 14

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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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nDeavour Consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

nDeavour Consulting is a recruitment and career counseling company headquartered in Sofia, Bulgaria. With a decade of experience, nDeavour focuses on helping individuals and businesses achieve their growth goals by providing exceptional job opportunities and professional guidance. The company prides itself on its principles of confidentiality, agility, pride, honesty, transparency, bravery, and responsibility, which foster strong relationships with clients and candidates alike.

📋 Description

• Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing. Utilize Airflow (or similar) for reliable workflow orchestration. • Implement Delta Lake principles, focusing on CDC and schema evolution. Establish and integrate data quality frameworks (e.g., Great Expectations) within CI/CD pipelines for data integrity. • Develop and optimize complex SQL and Python scripts. Integrate diverse data sources (APIs, S3 files, etc.) and handle both structured and unstructured data. • Support the implementation of data governance and cataloguing solutions (e.g., Unity Catalog). Proactively investigate and improve inconsistent legacy datasets. • Guide and manage AI agents for code generation, ensuring quality and stability. Work pragmatically and collaboratively to drive technical solutions.

🎯 Requirements

• 5+ years of professional experience in data engineering, focused on cloud and distributed processing environments. • Strong experience with Databricks, PySpark, distributed processing, and Delta Lake. Deep knowledge of CDC and schema evolution. • Expert SQL optimization and Python skills. Hands-on experience with Airflow (or similar). • Familiarity with relevant AWS components. Good understanding of CI/CD for data workflows and implementing data quality frameworks. • Knowledge of streaming (Kafka/Kinesis) and exposure to Unity Catalog or similar governance tools. • Proactive problem-solver; comfortable working with complex, inconsistent data without needing explicit specs. • Able to work independently in a fast-paced rebuild environment. • Collaborative, pragmatic, thrives on rapid iteration. • Skilled at directing AI agents to code while maintaining high quality standards.

🏖️ Benefits

• Remote Office – Flexible hybrid form of working • Parking Space – We provide free parking spots • Fun Office Space – We offer a game zone and a relaxation area • Health Insurance – Additional private health insurance, including a dental care plan • Personal Development – Company-sponsored training budget to further develop your skills • Employee Referral Program – Receive a bonus for referring a friend • Holidays – Enjoy an extra 5 days after your 1st and 5th year • Social Events – We love to celebrate our success together • Family Insurance – Add insurance to a family member • Offering sports cards – 100% sponsored by the company