Senior Data Engineer

This role is for a Senior Data Engineer on a long-term contract in Baltimore, MD, offering a competitive pay rate. Key skills include proficiency in Data Bricks, PySpark, ETL development, and real-time streaming experience. Requires 8+ years of relevant experience.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
600
🗓️ - Date discovered
January 25, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Baltimore, MD
🧠 - Skills detailed
#Data Pipeline #AI (Artificial Intelligence) #Databricks #Data Bricks #Batch #PySpark #Delta Lake #Data Ingestion #CRM (Customer Relationship Management) #Oracle #Data Processing #SQL Server #"ETL (Extract #Transform #Load)" #Data Engineering #Spark SQL #IoT (Internet of Things) #SQL (Structured Query Language) #Spark (Apache Spark) #Azure #Scala
Role description
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Responsibilities

Kforce's client in Baltimore, MD is looking to bring on a Senior Data Engineer, specifically someone who specializes in Data Bricks and real time streaming. These individuals will be joining this project on a long-term contract position. Summary: The Senior Data Engineer will design, develop, and maintain scalable data pipelines to pull data in real-time (RT, <1 min), near real-time (NRT, 30-60 mins), and batch (once a day) from a variety of sources like Oracle, SQL Server, files, social media platforms (X, Facebook, LinkedIn), IoT devices, APIs, Salesforce, HCM, and Microsoft CRM. If you have 8+ years of experience, can articulate your expertise with Data Bricks and looking to join a growing and exciting team, we encourage you to apply today!

Requirements
• Proficiency in Databricks tools and technologies, including Delta Lake and Databricks SQL
• Extensive ETL development experience, particularly with large-scale data processing and transformation pipelines
• Strong knowledge of PySpark for building and optimizing distributed data processing workflows
• Experience working with streaming data pipelines using frameworks such as Spark Structured Streaming or similar tools
• Familiarity with Azure platform and related data services
• Ability to troubleshoot and optimize performance in distributed environments
• Databricks Spark Streaming for real-time data processing
• PySpark for scalable data transformation and analysis
• Delta Live Tables for automated and reliable pipeline development
• Spark SQL for data querying and analytics
• Autoloader for incremental data ingestion

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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