Lead Data Engineer

💰 $3,200 - $5,120 (Est.) 📍 Chicago

Job Description

Full job description
This position requires an active U.S. national security clearance and the ability to obtain one.


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.

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).

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
El rango de pago para este puesto es el siguiente:
137,300 - 180,100 USD por year (Remote (United States))
 

💡 Quick Summary

Seeking a career-building opportunity? The Lead Data Engineer position is now open for candidates interested in the Insurance sector. This role in Chicago offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Insurance is a plus.

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Frequently Asked Questions

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The expected salary for Lead Data Engineer in Chicago is $3,200 - $5,120 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Lead Data Engineer is an on-site position based in Chicago. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Lead Data Engineer. Previous experience in Insurance is a plus. Freshers may also apply depending on the employer's requirements.
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