Sr Data Engineer
Arlington, VA
Full Time Senior-level / Expert Clearance required USD 129K - 240K * est.
INflow Federal
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:
Working at INflow, you are at INflow Federal 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 Mid-Level Data Engineer is responsible for developing, constructing, testing, and maintaining data architectures. The individual will work with large datasets to improve data quality and efficiency, enabling data-driven decision-making within the organization.
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 RequirementsINflow 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 InclusionINflow 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.
ABOUT THIS POSITION:
Working at INflow, you are at INflow Federal 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 Mid-Level Data Engineer is responsible for developing, constructing, testing, and maintaining data architectures. The individual will work with large datasets to improve data quality and efficiency, enabling data-driven decision-making within the organization.
Job Duties
- Engineer and maintain scalable ETL pipelines across multiple security domains.
- Optimize data ingestion and processing workflows for structured and unstructured data.
- Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client;
- Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities;
- Automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services;
- Work under general guidance, demonstrate an initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment;
- Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles;
- Engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions
- Identify and implement scalable and efficient coding solutions
Required Experience
- Bachelor’s degree plus 7-10 years experience OR a Masters Degree plus 5 years of experience.
- Experience with Big Data systems, including Apache Spark / Databricks
- Experience with ETL processes;
- Experience with Amazon Web Services (AWS)
- Experience with multiple coding languages
- Experience engineering data pipelines across multiple security domains / classified networks
Required Clearance
- DoD Top Secret (TS/SCI preferred)
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 RequirementsINflow 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 InclusionINflow 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Architecture AWS Big Data CX Data Analytics Databricks Data management Data pipelines Data quality DevOps Driver’s license Engineering ETL Machine Learning Pipelines Security Spark Testing Unstructured data
Perks/benefits: Health care
Region:
North America
Country:
United States
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