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Senior Data Engineer - Databricks

Job in Toms River, Ocean County, New Jersey, 08757, USA
Listing for: DATAECONOMY Inc
Full Time position
Listed on 2026-10-01
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

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, Dev Ops and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, Data Robot, Global IDs, tableau, Mule Soft and Talend.

Senior/Lead Data Engineer — Databricks

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.
  • Hands‑on experience:
    Spark, Delta Lake, Workflows, Unity Catalog.
  • 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
  • ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
  • Delta Live Tables, Auto-Loader, Structured Streaming
  • Data modeling — dimensional (star/snowflake), normalization/denormalization
  • 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
Position Requirements
10+ Years work experience
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