Accelint Logo

Accelint

Lead Data Engineer (Hypergiant)

Posted 3 Days Ago
Remote
Hiring Remotely in United States
137K-180K Annually
Senior level
Remote
Hiring Remotely in United States
137K-180K Annually
Senior level
The Lead Data Engineer will develop a data service for command and control software, ensuring high-quality code and system integration while collaborating with various teams in a highly complex DoD context.
The summary above was generated by AI

This position requires an active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process please access this link. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.


Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what’s happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.  

For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.  


We are looking for a Lead Data Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically the development of a data service for command and control (C2) software. Hypergiant with its partners is building an innovative cloud-based command and control system that seamlessly integrates existing capabilities and provides automation that improves efficiency and effectiveness of mission planning and execution. A perfect candidate is able to write high-quality code, integrate with partner capability providers, and ensure code and product quality. This position will work alongside our development team and other capability providers on highly complex DoD projects. 

 

Role & Responsibilities 

  • Develop and continuously improve a data service that underpins cloud-based applications  
  • Support data and database modeling efforts 
  • Contribute to the development and maintenance of reusable component libraries and shared codebase 
  • Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process 
  • Collaborate with developers, designers, testers, project managers, product owners, and project sponsors to integrate the data service to end user applications 
  • Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools 
  • Ensure seamless integration between database and messaging systems and the frontend / UI they support 
  • Ensure data quality, reliability, and performance through code reviews and effective testing strategies 
  • Write high-quality code, applying best practices, coding standards, and design patterns 
  • Team with other developers, fostering a culture of continuous learning and professional growth 

 

Required Qualifications 

  • 10+ years of professional software development or data engineering experience (6+ with a STEM B.S. or 4+ with a relevant Master's degree) 
  • Strong proficiency in Python and Typescript, familiarity with Java and Bash scripting 
  • Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, RabbitMQ) 
  • Experience with data fabric development using publish-subscribe models (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture) 
  • Proficiency with containerization technologies (e.g., Docker, Docker-Compose, RKE2, Kubernetes, and Microk8s) 
  • Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins), and collaborative development workflows 
  • Strong knowledge of data modeling and database optimization techniques 
  • Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML) 
  • Excellent problem-solving and analytical skills 
  • Strong communication skills and ability to work in a collaborative environment 
  • Must be a US Citizen and eligible to obtain and maintain a US Security Clearance 

 

Preferred Qualifications 

  • Experience with Cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies (Ansible, Terraform, WebGL) 
  • Geospatial information system (GIS) experience (e.g., Geoserver) 
  • Data science and experience integrating AI/ML to web-based applications 
  • Experience managing and mentoring development teams in an Agile environment 
  • Experience managing robust build & test tools and implementing workflow automations / scripts 
  • Experience balancing hot and cold data path strategies to meet performance and cost goals 
  • Penchant for learning new technologies, balanced with strong pragmatic thinking 
  • Design-minded attention to detail in data service implementation 
  • Portfolio of past projects with code samples 
  • Ability to travel as needed 
  • Active Security Clearance 

 
Clearance Requirements 

Some positions will require access to U.S. National Security information.  Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL).  In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link 

EEOC & Know Your Rights 

Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish 

Pay Scales & Benefits 

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. 

Benefits include… 

  • Paid Time Off 
  • Paid Company Holidays 
  • Medical, Dental & Vision Insurance 
  • Optional HSA and FSA 
  • Base and Voluntary Life Insurance 
  • Short Term & Long-Term Disability Insurance 
  • 401k Matching 
  • Employee Assistance Program 

Top Skills

Apache Kafka
Apache Nifi
Apache Pulsar
Bash
Docker
Docker-Compose
Git
Java
Jenkins
Kubernetes
Microk8S
Postgis
Postgres
Python
RabbitMQ
Rke2
Typescript

Similar Jobs

2 Days Ago
Remote
USA
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Software
The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.
Top Skills: AirflowAWSAzureBigQueryEltETLGCPLookerPythonRedshiftSnowflakeSQLTableau
3 Days Ago
Easy Apply
Remote
USA
Easy Apply
Senior level
Senior level
Real Estate
The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.
Top Skills: AirflowAzureClickhouseDagsterDbtFlinkKafkaPostgresPrefectPythonSparkTypescript
10 Days Ago
Remote
United States
Senior level
Senior level
Software
The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.
Top Skills: Apache AirflowApache IcebergSparkAws AthenaAws GlueAws LambdaAws RedshiftAws S3PrestoPythonTrino

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account