Data Engineer
•Today
| Estimated Pay info | Based on similar jobs in your market$84 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Frederick, MD Frederick, Maryland open_in_new |
About this job
Job Description
Job Description
Responsibilities
" Design, develop, and maintain scalable, high-performance data engineering solutions on Azure Databricks.
" Build and support batch and real-time data pipelines using Apache Spark and Structured Streaming.
" Design and implement Lakehouse and Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
" Develop reusable ETL/ELT frameworks, standardized data processing components, and enterprise data ingestion patterns.
" Ingest and process large-scale data from diverse enterprise sources, including databases, APIs, message queues, and file-based systems.
" Develop complex data transformation logic using PySpark, Python, and SQL.
" Create trusted, governed, and consumption-ready datasets for reporting, analytics, and downstream applications.
" Implement data quality, validation, reconciliation, audit, and governance controls across data pipelines.
" Manage and optimize Databricks Workflows, Delta Live Tables (DLT), Unity Catalog, and Databricks SQL.
" Collaborate with business, analytics, architecture, and delivery teams in an Agile environment to deliver high-quality data products.
Required Technical Skills:
Databricks & Data Engineering
" Strong hands-on experience with Databricks, Lakehouse Architecture, and Delta Lake
" Expertise in PySpark, Python, and advanced SQL
" Experience with Apache Spark, Structured Streaming, Delta Live Tables (DLT), Databricks Workflows, and Unity Catalog
" Experience designing and implementing Medallion Architecture and modern Data Lake/Data Warehouse solutions
" Strong background in data ingestion, ETL/ELT, data transformation, optimization, and deployment practices
" Experience with event-driven and streaming technologies such as Kafka or Azure Event Hub
Cloud Platforms
" Microsoft Azure (preferred)
" AWS or GCP experience is also valuable
Application Integration
" Working knowledge of React and/or Angular for front-end integration and data-centric application development
Domain Experience (Preferred)
" Experience in Finance, Insurance, Regulatory Reporting, or US GAAP reporting
" Understanding of financial data models, reporting processes, and governance requirements is highly desirable
** Mandatory to work from office only
" Design, develop, and maintain scalable, high-performance data engineering solutions on Azure Databricks.
" Build and support batch and real-time data pipelines using Apache Spark and Structured Streaming.
" Design and implement Lakehouse and Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
" Develop reusable ETL/ELT frameworks, standardized data processing components, and enterprise data ingestion patterns.
" Ingest and process large-scale data from diverse enterprise sources, including databases, APIs, message queues, and file-based systems.
" Develop complex data transformation logic using PySpark, Python, and SQL.
" Create trusted, governed, and consumption-ready datasets for reporting, analytics, and downstream applications.
" Implement data quality, validation, reconciliation, audit, and governance controls across data pipelines.
" Manage and optimize Databricks Workflows, Delta Live Tables (DLT), Unity Catalog, and Databricks SQL.
" Collaborate with business, analytics, architecture, and delivery teams in an Agile environment to deliver high-quality data products.
Required Technical Skills:
Databricks & Data Engineering
" Strong hands-on experience with Databricks, Lakehouse Architecture, and Delta Lake
" Expertise in PySpark, Python, and advanced SQL
" Experience with Apache Spark, Structured Streaming, Delta Live Tables (DLT), Databricks Workflows, and Unity Catalog
" Experience designing and implementing Medallion Architecture and modern Data Lake/Data Warehouse solutions
" Strong background in data ingestion, ETL/ELT, data transformation, optimization, and deployment practices
" Experience with event-driven and streaming technologies such as Kafka or Azure Event Hub
Cloud Platforms
" Microsoft Azure (preferred)
" AWS or GCP experience is also valuable
Application Integration
" Working knowledge of React and/or Angular for front-end integration and data-centric application development
Domain Experience (Preferred)
" Experience in Finance, Insurance, Regulatory Reporting, or US GAAP reporting
" Understanding of financial data models, reporting processes, and governance requirements is highly desirable
** Mandatory to work from office only
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1310099413 Posted: 2026-10-29 Job Title: Data Engineer