Entrada

Entrada is a global boutique Databricks Consulting Partner specializing in industry solutions and business results for companies of all sizes. They offer a comprehensive suite of services including…

AIConsultingDatabricksData EngineeringData StrategyGenAILakehouseMLentrada.ai

Entrada

AIConsultingDatabricksData EngineeringData StrategyGenAILakehouseMLentrada.ai

HQSan Francisco, US

Team Size34

Open JobsUnknown

Total Funding$6M

Latest Fundraise10 months ago

Join the Team

Senior+ Databricks Engineer

RemotePL

Remote • PL

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Frontend Developer

Part-timeNew York, US

Part-time • New York, US

Technical Writer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Data Scientist

Part-timeNew York, US

Part-time • New York, US

DevOps Engineer

Full-timeSan Francisco, US

Full-time • San Francisco, US

DevOps Engineer

InternshipRotterdam, NL

Internship • Rotterdam, NL

Frontend Developer

Part-timeCambridge, GB

Part-time • Cambridge, GB

Location: 100% Remote (EU Citizens - non visa sponsorship)

Contract: B2B or UoP (via Entrada AI Poland)

ABOUT ENTRADA AI

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. This is a rare distinction: Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform.

You will join a team of industry veterans and Databricks MVPs. We look for engineers who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges for Fortune 500 clients using features often before they are widely available.

THE ROLE

Architecture & Development: Design and implement scalable data pipelines using Apache Spark (PySpark) on Databricks. You will build solutions, not just run scripts.
Optimization: Analyze and optimize complex Spark jobs for performance and cost (partitioning, z-ordering, Photon engine utilization).
Modernization: Migrate legacy data warehouses to the Lakehouse architecture using Delta Lake.
Standards: Enforce high code quality standards through rigorous code reviews and CI/CD implementation (Databricks Asset Bundles).

MUST HAVES

Senior Experience: 5+ years in Data Engineering with a strong focus on distributed systems.
Databricks Expertise: Minimum 3 years of hands-on experience with the Databricks platform. You understand the internals of Delta Lake.
Cloud Native: Production experience with Azure (ADLS Gen2, ADF) or AWS (S3, Glue).
Coding: Advanced proficiency in Python and SQL.

NICE TO HAVES

Experience building data applications using Databricks Apps.
Familiarity with Delta Live Tables (DLT).
Databricks Certifications (Data Engineer Professional).
Experience with dbt.

THE OFFER

RECRUITMENT PROCESS

Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.
Technical Interview (60 min): Deep dive into your technical skills with our engineering team.
Optional Client Interview: Required only in specific cases.
Decision & Offer: We aim to close the process efficiently.