Data Engineer Databricks / Python / Database

Cloud Analytics Technologies, LLC; Jersey City (NJ); On-site; USD 83,000 - 124,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines in Jersey City, NJ. You will leverage Databricks, Python, and SQL to support analytics, BI, and ML workloads across the organization.

The role emphasizes ETL/ELT development, data modeling, and implementing data quality, governance, and security measures while collaborating with Data Scientists and Cloud Engineers.

Qualifications

• Strong SQL and query tuning experience.
• Experience with large-scale data processing.
• Proficiency in Python for data pipelines and ETL/ELT development.

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.

Skills

SQL proficiency

Python

Data modeling

Data governance

Cloud platforms

Tools

Databricks

ADF

Glue

Dataflow

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:
Core Technical 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

CLOUD ANALYTICS TECHNOLOGIES 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. CLOUD ANALYTICS TECHNOLOGIES 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 CLOUD ANALYTICS TECHNOLOGIES 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

Equal Opportunity Employer

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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

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