Job Description

Are you looking for your next challenge? Are you ready to work with a performance-based small company? At Zantech, we are a dynamic Woman Owned Small Business focused on providing complex, mission-focused solutions with a proven track record of outstanding customer performance and high employee satisfaction. We would love to talk with you regarding the next step in your career. Come join our team!

Zantech is looking for a talented Senior Data Engineer to contribute to the success of our Enterprise Data Services project for an Onsite role based out of the Washington DC Metro area.

The Data Engineer will play a crucial role in developing and optimizing Spark applications in AWS Databricks, leveraging your expertise in Python, SQL, and pySpark. The ideal candidate will have a solid background in data engineering and demonstrate proficiency in designing and building efficient ETL pipelines using Apache Spark in the Databricks environment.

Responsibilities include, but will not be limited to:

• Develop Spark applications in AWS Databricks, utilizing Python, pySpark, SQL and to meet project requirements and data processing needs.


• Design and implement robust ETL pipelines using Apache Spark in Databricks, ensuring data integrity, efficiency, and scalability.


• Collaborate with cross-functional teams to understand business requirements and design solutions that leverage structured, semi-structured, and unstructured data effectively.


• Write high-quality code in a timely manner, adhering to coding standards, best practices, and established development processes.


• Utilize version control systems like Git to manage codebase and ensure seamless collaboration within the team.


• Merge and consolidate various data sets using Pyspark code, enabling streamlined data processing and analysis.


• Work with APIs to facilitate data ingestion from diverse sources and integrate data into the ecosystem.


• Apply expertise in Databricks delta lake to optimize data storage, query performance, and overall data processing efficiency.


• Demonstrate knowledge of application development life cycles and promote continuous integration/deployment practices for efficient project delivery.


• Perform query tuning, performance tuning, troubleshooting, and debugging for Spark and other big data solutions to enhance system efficiency and reliability.


• Exhibit expertise in database concepts and SQL to efficiently manipulate, process, and extract insights from complex datasets.


• Apply database engineering and design principles to ensure data infrastructure meets high standards of scalability, reliability, and performance.


• Leverage previous experience in handling large-scale distributed systems to deliver and operate data solutions efficiently.


• Demonstrate a successful track record of extracting value from extensive, disconnected datasets to drive data-driven decision-making.

Required Experience or Knowledge of the following technologies/functions:

• A minimum of 8+ years of hands-on experience in Spark, with proficiency in either Python or pySpark.


• Databricks Certified Data Engineer Associate or Professional Certification preferred.


• Strong knowledge of the Databricks platform and previous experience working with it.


• Extensive experience with Apache Spark and a proven history of successful development in this environment.


• Proficiency in at least one programming language (Python, pySpark).


• Previous experience in ETL and data application development, coupled with expertise in version control systems like Git.


• Ability to write Pyspark code for data merging and transformation.


• Experience working with APIs for data ingestion and integration.


• Familiarity with Databricks delta lake and expertise in query optimization techniques.


• Sound understanding of application development lifecycles and continuous integration/deployment practices.


• Proven experience in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.


• Solid knowledge of database concepts and SQL.


• Strong background in handling large and complex datasets from various sources and databases.


• Proficient understanding of database engineering and design principles.

Required Security Clearance:

• US Citizenship and the ability to obtain and maintain an active Public trust or higher clearance, per contract requirements.

“ Outstanding Performance…Always!”

Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!

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