IntelliTech is seeking experienced Data Engineers to join our Advana team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

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.

· 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.

Requirements:

· Secret clearance is required.

· Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.

· High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.

· 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 of 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) 3 days per week.

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.

If you are passionate about leveraging your data engineering skills and working with cutting-edge technologies to enable efficient data analysis, we encourage you to apply. Join our team and be a part of our mission to provide streamlined and rapid access to critical information.

Interview Requirements:

· Video Interview – Yes (may include technical assessment)

· Client Interview – Not required in most cases

Interview Prep:

· Candidates should be prepared to clearly articulate their experience creating data-related software applications from scratch (Recent evidence of this should be easily identifiable in their resume).

· Candidates should be prepared to clearly articulate data problems that their applications have solved in their past.

· Candidates should be prepared to discuss what technologies they have hands-on experience with and demonstrate in-depth understanding of those technologies during the technical assessment.

· Candidates should be prepared to clearly articulate their experience working with very large data sets/Big Data, like that of large federal agency.

· Candidates should be prepared to clearly articulate their proficiency with data and software-related programming languages and explain their thought processes related to problem solving.

· Candidates should be prepared to discuss their onsite availability.

Fully Remote Option:

· Fully remote work schedules are not currently available.

Clearance Sponsorship:

· We will only consider candidates that currently possess an active interim Secret security clearance or higher at this time.

Job Types: Full-time, Contract

Pay: $135,000.00 - $165,000.00 per year

Benefits:

Health insurance
Paid time off
Referral program

Schedule:

8 hour shift
Monday to Friday

Experience:

ETL: 3 years (Required)
Python: 3 years (Required)
Databricks: 1 year (Preferred)

Security clearance:

Secret (Required)

Ability to Commute:

Arlington, VA 22202 (Required)

Ability to Relocate:

Arlington, VA 22202: Relocate before starting work (Required)

Work Location: Hybrid remote in Arlington, VA 22202

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Data Engineer (Secret Clearance Required)