Senior Data Engineer - Databricks

DATAECONOMY Inc; New Jersey; On-site; USD 140,000 - 180,000; Full time

Job summary

DATAECONOMY Inc. in Rutherford, NJ is seeking a Senior Data Engineer to build scalable ETL/ELT pipelines using Databricks and PySpark. You will ingest data into Bronze/Silver/Gold layers and implement data quality rules while optimizing transformations.

Join a data-driven team implementing lakehouse architectures across AWS/Azure/GCP, with focus on performance and governance in a fast-growing company.

Qualifications

• 7–10+ years in data engineering or equivalent.
• Strong Python (PySpark) and SQL proficiency.
• Experience with Databricks, Spark, and Delta Lake in cloud environments.

Responsibilities

• Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
• Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
• Develop optimized transformations, data quality rules, and reusable framework components.
• Implement best practices for job orchestration, monitoring, alerting, and automation.
• Demonstrate strong SQL programming and performance tuning skills.
• Collaborate on cloud deployments across AWS/Azure/GCP and lakehouse architectures.

Skills

Python (PySpark)

SQL

Databricks

Spark

Delta Lake

Workflows

Unity Catalog

DLT

CI/CD

Git

Cloud (AWS/Azure/GCP)

Medallion Architecture

Lakehouse

Data Governance concepts

Tools

Airflow

dbt

Orchestration tools

Job description

Raleigh, United States | Posted on 09/10/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Rutherford, NJ/ Jersey City, NJ

Full-time

• Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
• Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
• Develop optimized transformations, data quality rules, and reusable framework components.
• Implement best practices for job orchestration, monitoring, alerting, and automation.
• Strong SQL programming and performance tuning skills.
• Experience with cloud environments (AWS/Azure/GCP).
• Experience with modern data lakehouse concepts and distributed systems.
• Strong understanding of Lakeflow Connect, LSDP/Lakehouse, Medallion Architecture, Data Validations, Genie, and Agent Bricks/RAG use cases.
• Should be able to explain these concepts using real project examples and architecture decisions.
• Knowledge of medallion architecture, DLT and unity catalog within Databricks.

Requirements

• Strong Python (PySpark) and SQL programming
• Databricks — Spark, Delta Lake, Workflows, Unity Catalog
• CI/CD, Git, job orchestration
• Cloud experience — AWS, Azure, or GCP
• 7–10+ years in data engineering
• Knowledge of medallion architecture, DLT and unity catalog within Databricks.

Nice-to-Have Skills

• Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
• Data governance,metadata management, Unity Catalog advanced features
• Airflow, dbt, or similar orchestration tools
• Data security, compliance, and access models
• Cost optimization and performance tuning in cloud environments
• Corporate/enterprise data warehousing background