Senior Data Engineer - Databricks
Raleigh, New Jersey, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild scalable, production-grade ETL/ELT pipelines using Databricks
Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers
Develop optimized transformations, data quality rules, and reusable framework components
Implement job orchestration, monitoring, alerting, and automation
From the employer’s posting
Build scalable, production-grade ETL/ELT pipelines using Databricks
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
What you’ll bring
All qualificationsCore experience
- 7–10+ years in data engineering
- Strong Python (PySpark) and SQL programming
- Databricks experience with Spark, Delta Lake, Workflows, Unity Catalog
- Medallion Architecture ETL/ELT pipeline development
- Cloud experience on AWS, Azure, or GCP
Qualification wording
7–10+ years in data engineering
Strong Python (PySpark) and SQL programming
Databricks — Spark, Delta Lake, Workflows, Unity Catalog
ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
Cloud experience — AWS, Azure, or GCP
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- Delta Lake
- GCP
- Neo4j
- Spark
- Tableau
- Airflow
- PySpark
Source — Tool mentions in context
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. 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
Posting record
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- Live
- First seen by us
- Sep 10, 2026 · 49 days ago
- Recorded sightings
- 33
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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. 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
Source details
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- Pay
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- Location & working pattern
Raleigh, New Jersey, United States
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