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Data Engineer (All Levels) - Crystal City, VA
- Retirement Plan
- 401(k)
- 401(k) matching
- Bonus based on performance
- Company parties
- Competitive salary
- Dental insurance
- Health insurance
- Opportunity for advancement
- Paid time off
- Training & development
- Vision insurance
exciting and growing opportunity within the Defense sector. 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 or higher required (can be sponsored).
- 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.
- Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law.
- Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families.
- Retirement Plan – We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds.
- Paid Time Off - Based on length of service, we offer a generous amount of paid leave.
- Bonus System – As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year.
- Professional Development – Support for career growth through training programs and certifications.
- Company Retreats & Team Events – Sponsored trips, team-building activities, and annual conferences related to your skillset.
Flexible work from home options available.