Data Engineer Databricks / Python / Database

Ethereum Technologies LLC; Jersey City (NJ); On-site; Full time

Job summary

A technology company is demanding a skilled Data Engineer to design and manage complex data activities using Databricks and Python. With responsibilities including the architecture of ETL/ELT workflows, development of scalable data pipelines, and ensuring data quality, the ideal candidate should possess robust SQL skills and experience in cloud platforms like AWS, Azure, or GCP. Opportunities for substantial growth await in this dynamic work environment.

Qualifications

• Strong expertise in Databricks, Python, and database engineering.
• Ability to design and optimize scalable data pipelines.
• Experience in data quality and advanced analytics initiatives.

Responsibilities

• Design, build, and maintain ETL/ELT workflows on Databricks.
• Develop data pipelines using Python and Spark.
• Implement data quality and monitoring frameworks.
• Collaborate with Data Scientists and Analysts.

Skills

Database Engineering

Strong SQL

Cloud Platforms (AWS/Azure/GCP)

ETL/ELT tools

Experience with large-scale datasets

Job description

Location: Jersey city, NJ

Duration: 12Months+ Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization:

Overview

We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Database engineering. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and support advanced analytics and business intelligence initiatives across the organization.

Key Responsibilities

• Design, build, and maintain ETL/ELT workflows on Databricks.
• Develop scalable data pipelines using Python and Spark.
• Optimize data transformation logic for performance and cost efficiency.
• Work with structured and unstructured data from various sources.
• Develop and manage data models, schemas, and tables across databases (SQL/NoSQL).
• Implement data quality, validation, and monitoring frameworks.
• Collaborate with Data Scientists, Analysts, and Cloud Engineers to support analytics and ML workloads.
• Ensure data security, governance, and compliance in all solutions.
• Troubleshoot pipeline failures and continuously improve pipeline reliability.
• Integrate data from APIs, streaming sources, and cloud storage.

Required Skills

• Database Engineering – Strong SQL, query tuning, schema design, stored procedures
• Cloud Platforms (one or more): AWS / Azure / GCP
• ETL/ELT tools: ADF, Glue, Dataflow, or equivalent
• Experience working with large-scale datasets

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.