Senior Data Engineer

At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team!

ABOUT THIS POSITION:

INflow is looking for a Senior Data Engineer to join our team! In this role, you are at the heart of our mission to empower DoD customers with cutting-edge data-driven solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.

Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

The Data Engineer supports the design and implementation of data engineering solutions, ensuring efficient data workflows to enable AI and ML applications within the DoD.

Job Duties

• Data Ingestion and Integration: Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into advanced capabilities within the Databricks platform to satisfy mission partner requirements. Enable a robust data analytics and DevOps pipeline that drives the rapid delivery of functionality to the client.
• Operational Oversight: Maintain all operational aspects of data transfers, leveraging Databricks’ unified data processing capabilities while accounting for the security posture of the underlying infrastructure. Ensure systems and applications are secure and monitor the health of the environment through various tracking and analytics tools.
• Automation and ETL Management: Automate configuration management using state-of-the-art tools and workflows. Stay up to date on Extract, Transform, and Load (ETL) technologies, leveraging Databricks for scalable and efficient data pipelines. Drive innovation through automation and support the development of robust data workflows.
• Independent Solution Development: Work under general guidance to develop innovative approaches and solutions independently. Regularly review architectural designs, identify opportunities for automation, optimize existing workflows, right-size infrastructure, and implement cost-reduction strategies to ensure a healthy and sustainable environment.
• Technical Expertise and Cloud Integration: Apply expertise in data engineering technologies and services, with a focus on Databricks and its integration into larger data ecosystems. Leverage knowledge of databases, data structuring approaches, and Cloud architectural constructs. Establish and maintain Cloud environments programmatically using vendor consoles and APIs to streamline operations.
• Cross-Functional Collaboration and Innovation: Engage with multiple functional teams to understand client challenges, prototype new ideas, and implement innovative technologies. Design, implement, test, and deploy full-featured solutions and components to meet evolving client needs, leveraging Databricks for scalable and high-performing analytics.
• Web Scraping and ETL Management: Maintain and enhance an existing collection of web scraping tools used as the initial step in the ETL process. Identify opportunities for improvement, scalability, and efficiency while leveraging Databricks for advanced ETL processing and orchestration.
• Coding and Scalability: Identify and implement scalable and efficient coding solutions, utilizing Databricks to handle large-scale data processing needs and foster continuous optimization in the data pipeline.

Required Experience

• Bachelor’s degree with 5-7 years of experience or Master’s degree with 3 years of experience.
• Familiarity with cloud environments and big data frameworks.
• Experience in coding languages and pipeline optimization.
• Experience with Big Data systems, including Apache Spark / Databricks
• Experience with ETL processes;
• Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0
• Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
• Experience with multiple coding languages

Required Clearance

• DoD Top Secret (TS/SCI preferred)

About Us

Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people. The ‘INflow difference’ lies in our profound appreciation of employee culture, fueling an obsession with the well-being and professional growth of our team. This employee-centric ethos has been pivotal to our enduring success, directly translating into significant benefits for our customers.

Our identity is greatly influenced by the contributions of US Military Veterans. INflow’s Veteran Outreach Program, dedicated to recruiting transitioning military personnel, has been a resounding success. Veterans now represent over 50% of our workforce, bringing invaluable experience and insight that have been crucial in steering our customers’ success.

As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations. Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces.

In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership’s transparent communication and unwavering commitment to integrity. Our customers value partnering with INflow for our agility, passion, and integrity.

Fueling INflow’s continuous evolution is our voracious appetite for researching and integrating AI/ML technologies. We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows. This not only improves their operational efficiency but also deepens their understanding of AI/ML’s transformative potential.

As we progress, our focus remains steadfast on developing our people so they can lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights.

Citizenship Requirements

INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.

Other Notes

- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer.

Other:

- Candidate must have the ability to lift up to 50 lbs.

Must have willingness to perform duties not listed in the job description as required by INflow and our customer.

Equal Opportunity Employer

Diversity and Inclusion

INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.