Apply Now

Data Platform Engineer (Databricks)

• Posted 2 days ago • Updated 10 hours ago

Full Time

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

🔢 Crunching numbers...

Job Details

Skills

Data Engineering
Product Development
Prototyping
Data Quality
Workflow
Databricks
Python
SQL
Continuous Integration
Continuous Delivery
Terraform
Data Governance
Unity
Orchestration
Fluency
Artificial Intelligence
Finance
Quantitative Analysis
Research
API
English

Summary

Project description

We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.
This is a contractor position.

Responsibilities

Design, build, and enhance platform capabilities within Databricks and related technologies.

Build reusable data products and self-service capabilities.

Design and maintain data pipelines and integration frameworks.

Improve data quality, reliability, lineage, and monitoring.

Accelerate research-to-production delivery: prototype solutions alongside researchers; establish patterns that make productionization easier and faster; reduce friction between research and engineering workflows.

Skills

Must have

8+ years of platform and data solutions experience

Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities

Python

SQL

Modern CI/CD, IaC (Terraform strongly preferred)

Data Governance and observability (Unity Catalog, lineage, monitoring)

Orchestration (Airflow)

AI fluency: use of AI agents (Claude Code preferred) as a primary tool to design, build, test, and support solutions

Nice to have

Financial domain experience, especially quant research

API development

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10335530
Position Id: fc573f5d3991b8fea569e339d314e96c
Posted 2 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Lead Data Engineer

Tustin, California

•

Today

Location: Tustin, CA Salary: $180,000.00 USD Annually - $190,000.00 USD Annually Description: Lead Data Engineer (EDO Platform Engineering Lead) Location: Irvine, CA Salary: $180,000-$190,000 About the Role We are seeking an experienced Lead Data Engineer / EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. This role will lead platform engineering, infrastructure automation, DevOps enabl

Contract

USD 180,000.00 - 190,000.00 per year

Staff Application Engineer - Enterprise Data & AI (Intelligence Platform)

Los Angeles, California

•

Today

Riot's Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelin

Full-time

USD 161,500.00 - 227,000.00 per year

Data Engineer

Hybrid in Glendale, California

•

6d ago

Job Title - Data Engineer Location - Glendale, CA (Hybrid 2- 4 Days Onsite) Duration: Full Time Job Summary Mandatory skills Databricks experience (primary requirement) Apache Airflow Advanced SQL skills Python Spark / PySpark Scala Experience building and maintaining data pipelines and workflows Key Responsibilities: Design, write, test, and deploy data pipelines using PySpark, Scala, SQL, Python Meet with stakeholders to gather requirements and translate them into scalable data plat

Easy Apply

Full-time

Depends on Experience

Data Engineer

Hybrid in Glendale, California

•

Today

Role: Data Engineer Location: Glendale, CA (Hybrid ) Job Type : Full Time/ C2C Mandatory Skills Databricks experience (primary requirement)Apache AirflowAdvanced SQL skillsPythonSpark / PySparkScalaExperience building and maintaining data pipelines and workflowsKey Responsibilities: Design, write, test, and deploy data pipelines using PySpark, Scala, SQL, PythonMeet with stakeholders to gather requirements and translate them into scalable data platform solutionsUnderstanding of Databricks pla

Easy Apply

Full-time, Third Party

Depends on Experience

Search all similar jobs