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Databricks Engineer

  • ... Posted on: Sep 23, 2024
  • ... Rishabh RPO
  • ... Crystal City, Virginia
  • ... Salary: Not Available
  • ... Full-time

Databricks Engineer   

Job Title :

Databricks Engineer

Job Type :

Full-time

Job Location :

Crystal City Virginia United States

Remote :

No

Jobcon Logo Job Description :

Title: Databricks Engineer
Location: Crystal City, VA
Duration: Full Time
Salary: $135K with benefits


The ideal candidate is a DMV resident with an active Secret Clearance, 3-5+ years of experience as a Databricks Engineer, experience creating data pipelines from scratch, and a high level of proficiency in Databricks and other ETL processes and tools, including Python, Spark, Scala, SQL, Javascript and Jupyter Notebooks.

Position Description: Are you a data professional ready to join a dynamic team cracking the government's most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, Advana is the place for you!

Our client seeks an experienced Databricks Engineer to join their team. As a Data Engineer Lead, you will be crucial in designing, developing, and maintaining their Advana data infrastructure and systems. Your expertise in Databricks, ETL, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis.

Position Responsibilities:

  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Act as a technology liaison to leadership, facilitating, collaborating, and integrating impactful and advanced technical solutions for large-scale mission impacts.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

Experience required
Position Requirements:

  • Secret clearance is required.
  • Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
  • Hands-on experience with Databricks.
  • High proficiency in ETL processes and hands-on experience with technologies such as Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Experience leading and managing cross-functional technology teams.
  • Strong problem-solving skills and ability to solve complex data-related issues.
  • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
  • Understanding data modeling/visualization, database design principles, and data governance practices.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Detail-oriented mindset with a commitment to delivering high-quality results.
  • Must be in the DC Metro area and available to work onsite (Crystal City, VA, and Alexandria, VA) 2-3 days per week.



Position Desired/Nice to Have:

  • Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
  • Recent DoD or IC-related experience.
  • Previous experience with Advana is a plus.

Jobcon Logo Position Details

Posted:

Sep 23, 2024

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-89578656b8e8ce177ff24490fd26cfa8e68b36e132f05126eaa85c459cbadb94

City:

Crystal City

Job Origin:

CIEPAL_ORGANIC_FEED

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Title: Databricks Engineer
Location: Crystal City, VA
Duration: Full Time
Salary: $135K with benefits


The ideal candidate is a DMV resident with an active Secret Clearance, 3-5+ years of experience as a Databricks Engineer, experience creating data pipelines from scratch, and a high level of proficiency in Databricks and other ETL processes and tools, including Python, Spark, Scala, SQL, Javascript and Jupyter Notebooks.

Position Description: Are you a data professional ready to join a dynamic team cracking the government's most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, Advana is the place for you!

Our client seeks an experienced Databricks Engineer to join their team. As a Data Engineer Lead, you will be crucial in designing, developing, and maintaining their Advana data infrastructure and systems. Your expertise in Databricks, ETL, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis.

Position Responsibilities:

  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Act as a technology liaison to leadership, facilitating, collaborating, and integrating impactful and advanced technical solutions for large-scale mission impacts.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

Experience required
Position Requirements:

  • Secret clearance is required.
  • Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
  • Hands-on experience with Databricks.
  • High proficiency in ETL processes and hands-on experience with technologies such as Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Experience leading and managing cross-functional technology teams.
  • Strong problem-solving skills and ability to solve complex data-related issues.
  • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
  • Understanding data modeling/visualization, database design principles, and data governance practices.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Detail-oriented mindset with a commitment to delivering high-quality results.
  • Must be in the DC Metro area and available to work onsite (Crystal City, VA, and Alexandria, VA) 2-3 days per week.



Position Desired/Nice to Have:

  • Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
  • Recent DoD or IC-related experience.
  • Previous experience with Advana is a plus.

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