Location: Jersey City, NJ
Duration: 12 months + extension
Hourly Rate: Depending on experience (DOE)
OverviewWe 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.
Equal Opportunity Employer
Cloud Analytics Technologies LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans. 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.
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
