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:
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