Desktop Support

Desktop Support Data Jobs

11 jobs found

Today

Lead Machine Learning Engineer

AeroVironment Centreville, VA

Centreville, VA

Today

$158k - $241k/yr Full time Manager Artificial Intelligence Automation

Apply Now

Job Description

AeroVironment’s Learning and Active Perception (LEAP) group is building computer vision and related analytics for defense and commercial applications, and this Lead Machine Learning Engineer role helps drive that work from requirements through test, evaluation, validation, and verification. This position functions as a strong individual contributor and technical leader, with expectations to mentor more junior engineers and shape how solutions are designed, validated, and improved.

Role Overview

Serve as a technical leader in designing and delivering computer vision and machine learning algorithms for technically challenging detection, classification, localization, and tracking problems.
Work across a range of stationary and mobile sensor platforms.
Validate approaches through purpose-designed experiments and evaluate model performance by analyzing errors and developing strategies to overcome them.
Select datasets and data representations, including supervision of data acquisition when required.
Maintain technical awareness of relevant academic literature, commercial products, and open source projects to keep solutions current.

Responsibilities

Lead design and development of computer vision and ML algorithms for wide-ranging real-world problems.
Advise on and support software infrastructure and DevOps processes that enable ML needs.
Implement ML algorithms and validate designs through experiments.
Analyze trained model algorithms and errors; design strategies to address failure modes.
Manage resources including hardware, data, and personnel to meet deadlines and coordinate activities as needed with a Team Lead and across teams.
Maintain ownership and responsibility for current and past work products.
Perform other duties as assigned.

Required Qualifications

Bachelor’s degree in computer science/engineering, Mathematics, Physics, or a related Science or Engineering discipline, with 5+ years of relevant experience in machine learning and/or computer vision.
Minimum of 8-12 years of relevant experience.
Required familiarity with C/C++ or Python.
Demonstrated ability to design, implement, and troubleshoot complex systems.
Proficiency with a deep learning framework, preferably PyTorch.
Proficiency with scikit-learn and pandas.
Proficiency with OpenCV.
Proficiency with Linux.
Familiarity with ML standards such as ONNX.
Ability to select hardware for specific ML applications.
Expertise in visualizing and manipulating big datasets.
Experience working with DoD and Intelligence Community (IC) organizations on advanced technology, research, or AI/ML initiatives.
Familiarity working in classified spaces.
U.S. Citizenship required.
Must be able to obtain at least a Secret level DoD security clearance.
Willingness to travel frequently (up to 40%).
Effective verbal and written communication, problem-solving, analytical, and interpersonal skills.
Ability to work within defined requirements with minimal supervision.
Leadership qualities, teamwork, collaboration, initiative, and ownership.
Must be able to work in an office environment; required to sit and stand for long periods and use a computer keyboard (frequent talking, hearing, and hand/finger use).
Has commitment to learning from mistakes and improving performance of self and others.

Technologies

C/C++, Python
PyTorch
scikit-learn, pandas
OpenCV
Linux
ONNX

Compensation and Location

Location: Centreville, VA (onsite)
Salary range: USD 158,000 - 241,000 per year

Benefits

Medical, dental, vision
401K with company matching
9/80 work schedule
Paid holiday shutdown

Compliance and ITAR

This position requires access to information subject to compliance with the International Traffic Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR).

Clearance level: No Clearance.

Special requirements: Ability to obtain at minimum a Secret level DoD security clearance, U.S. Citizenship required, and willingness to travel frequently (up to 40%).

View full job page →

Today

Lead Machine Learning Engineer

AeroVironment Centreville, VA

Centreville, VA

Today

$158k - $241k/yr Full time Manager Ai Ml Artificial Intelligence

Apply Now

Job Description

Drive computer vision and machine learning delivery for defense and commercial use cases while mentoring engineers and managing the full ML lifecycle.

Lead the design and development of computer vision and ML algorithms for technically challenging problems
Develop solutions for detection, classification, localization, and tracking of objects of interest using stationary and mobile sensor platforms
Maintain technical currency by monitoring relevant academic literature, commercial products, and open source projects
Advise and support software infrastructure and DevOps design to meet ML needs
Implement ML algorithms and validate designs via purpose-designed experiments
Analyze trained-model performance and errors; design strategies to address model shortcomings
Select appropriate datasets and data representations; supervise data acquisition when required
Manage resources including hardware, data, and personnel to meet deadlines
Coordinate activities with others and team leadership (Team Lead) and support other duties as assigned
Oversee end-to-end ML development from requirements through validation and verification testing
Mentor junior engineers within the LEAP group in AV’s MacCready Works division

Requirements

Bachelor’s degree in computer science/engineering, Mathematics, Physics, or related Science or Engineering discipline
5+ years of relevant experience in machine learning and/or computer vision
Minimum 10 to 12 years of relevant experience
Familiarity with C/C++ or Python (required)
Demonstrated ability to design, implement, and troubleshoot complex systems
Proficiency with PyTorch (deep learning framework, preferably)
Proficiency with scikit-learn and pandas
Proficiency with OpenCV
Proficiency with Linux
Familiarity with ONNX and ML standards
Ability to select hardware for specific ML applications
Expertise in visualizing and manipulating big datasets
Experience working with DoW and Intelligence Community (IC) organizations on advanced technology, research, or AI/ML initiatives
Familiarity working in classified spaces
Familiarity with office software and computer-based productivity tools
Ability to work within defined requirements with minimal supervision
Team player with leadership qualities
Excellent verbal and written communication skills
Strong problem-solving, analytical, and interpersonal skills
Ability to excel in a fast-paced, deadline-driven environment with small teams and a broad set of duties
Strong initiative and drive; takes ownership of current and past work products
Committed to learning from mistakes and improving performance for self, others, and the company
Comfort working in an office environment (constant) and performing tasks requiring sitting/standing, and operating a computer keyboard (frequent)
U.S. Citizenship required
Active Secret level DoD security clearance with ability to obtain TS/SCI clearance
Willingness and ability to travel occasionally (up to 20%)

Technologies

C/C++
Python
PyTorch
scikit-learn
pandas
OpenCV
Linux
ONNX
DevOps

Benefits

Medical
Dental Vision
401K with company matching
9/80 work schedule
Paid holiday shutdown

Location: Centreville, VA (onsite)

Salary: USD 158,000 - 241,000 per yearly

Clearance level: No Clearance

Security and ITAR/EAR: This position requires access to information subject to ITAR and/or EAR. Applicants must qualify as a U.S. person under ITAR and EAR or be approved for an export license by the governing agency. U.S. person includes U.S. citizens, U.S. lawful permanent residents (green card holders), or protected individuals such as refugees or asylees. U.S. Citizenship is required. Secret or Top Secret clearance, or the ability to obtain a clearance, is desired.

View full job page →

Today

Machine Learning Engineer

AeroVironment Centreville, VA

Centreville, VA

Today

$102k - $156k/yr Full time Artificial Intelligence Automation Data & Ai

Apply Now

Job Description

The Machine Learning Engineer will help build computer vision capabilities and image/video analytics for defense and commercial use within AV’s Learning and Active Perception (LEAP) group.

Responsibilities

Develop computer vision and ML algorithms for object detection, classification, localization, and tracking from stationary and mobile sensor platforms, targeting real-time automated target recognition (ATR)
Apply visual imagery data science to support data collection, data labeling, and data selection for training deep computer vision models
Train algorithms with selected data and validate data selection and algorithm design using purpose-designed experiments
Analyze ML approaches to solve defined problems and rank algorithms by success probability on new data
Define objectives, develop models to meet them, and establish metrics to track progress
Select appropriate datasets and data representations
Evaluate errors across data, model, and design strategies and iterate to overcome them
Write and test software to support integration of ML algorithms into aircraft systems (including autopilots, payloads, or other functional components) or other systems
Perform other duties as assigned

Requirements

BS in Computer Science/Engineering, Mathematics, Physics, or a related Science or Engineering discipline
2+ years of relevant experience in machine learning and/or computer vision
2 to 5 years of relevant computer vision experience
Familiarity with Python and C/C++ required
Proficiency with a deep learning framework, preferably PyTorch
Proficiency with ML libraries including Open-CV, scikit-learn, and pandas
Familiarity with Linux
Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and the deployment process to Nvidia GPUs
Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization
Ability to perform exploratory data analysis, including visualizing and manipulating large datasets
U.S. Citizenship required (to qualify for this role)
Active Secret (or higher) DoD security clearance
Willingness and ability to travel CONUS and OCONUS (Occasionally, up to 25%)
Location: Centreville, VA or Minneapolis, MN

Technologies

Python
C/C++
PyTorch
Open-CV
scikit-learn
pandas
Linux
Nvidia Tools: CUDA, JetPack, TensorRT
Nvidia GPUs

Benefits

Medical, dental, vision
401K with company matching
9/80 work schedule
Paid holiday shutdown

Other Qualifications and Desired Competencies

Familiarity with office software and computer-based productivity tools
Ability to work within defined requirements under moderate supervision
Team-oriented and able to collaborate effectively
Excellent verbal and written communication
Strong problem-solving, analytical, and interpersonal skills
Ability to excel in a fast-paced, deadline-driven environment with small teams and varied duties
Strong initiative and drive to meet goals and company objectives
Own current and past work products; share results and provide feedback
Committed to learning from mistakes and improving performance

Physical Demands

Ability to work in an office environment (Constant)
Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer keyboard (Frequent)

Clearance and ITAR

Clearance level: No Clearance
ITAR/EAR requirement: position requires access to information subject to ITAR and/or EAR
Applicants must qualify as a U.S. person under ITAR/EAR or be eligible for an export license approval
Offers requiring export license approval may be conditional on the company’s ability to obtain the license within required timelines
U.S. person per ITAR includes U.S. citizens, lawful permanent residents, and protected individuals (22 CFR § 120.15)
U.S. Citizenship required; Secret or Top Secret clearance (or ability to obtain) desired

Location: Centreville, VA (Onsite)
Salary: USD 102,000 - 155,500 per year
Minimum experience: 2 years
Travel: Occasional, up to 25%

View full job page →

3d ago

Data Engineer

Arcfield Newport, RI

Newport, RI

3d ago

$75k - $131k/yr Full time Bash Computer Skills Data

Apply Now

Job Description

Arcfield offers a data engineering role based in Newport, RI with onsite work, where you will build and support automated scripts in Linux environments and help turn complex datasets into reliable systems. You will collaborate within a large, established, cross-discipline team, while applying your skills to unstructured and semi-structured data in support of networking-focused environments. This position also requires the ability to obtain and maintain a Secret clearance.

What you’ll do

Operate under general supervision to solve technical problems of moderate scope and complexity.
Work with complex data and networking systems while following strict organizational standards.
Collaborate and communicate effectively as part of a large established cross-discipline team.
Use Linux systems such as Ubuntu and RHEL, and apply the willingness to learn how to work with non-standard Unix-like operating systems (example environments include Dell OneFS, QTS, and Cisco IOS).
Develop, maintain, and troubleshoot automated scripts using programming and scripting languages including C/C++, Python, Bash, and Batch.
Support the management of unstructured and semi-structured data as part of day-to-day data engineering activities.

What you’ll need

Bachelor’s degree (or equivalent) with 2–4 years of experience, or a Master’s with 0–2 years, or High School with 8–10 years.
Experience working with unstructured and semi-structured data.
Ability to obtain and maintain a Secret clearance.
Comfort working across Linux environments and related technologies, including Ubuntu and RHEL.
Familiarity with scripting and programming languages such as C/C++, Python, Bash, and Batch.

Technology focus

Linux: Ubuntu, RHEL
Dell OneFS, QTS, Cisco IOS
C/C++, Python, Bash, Batch

Compensation and benefits

Salary range: USD 75,447 - 131,188 per year.

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short Term and Long-Term Disability
Retirement and Savings
Learning and Development opportunities
Wellness programs
Other optional benefit elections

View full job page →

8d ago

Sr Principal AI Engineer Systems

Northrop Grumman Chantilly, VA

Chantilly, VA

8d ago

$172k - $258k/yr Full time Senior Ansible Application Security

Apply Now

Job Description

The Sr Principal AI Engineer Systems role supports mission support AI and secure cloud system capabilities at an onsite Northern Virginia location. The position focuses on developing and integrating “Home-Grown” mission support AI solutions alongside AWS and hybrid-cloud engineering and administration.

Location

Chantilly, VA (onsite). This position will be located at a mission systems sector site in Northern Virginia.

Compensation

USD 172,100 - 258,100 per yearly (primary level salary range).

Role Summary

Serve as a senior principal AI engineer systems supporting mission support AI and secure cloud systems. Responsibilities include development and integration of “Home-Grown” mission support AI solutions and administrative support for AWS and hybrid-cloud systems in a classified, onsite environment.

Responsibilities

Develop and integrate “Home-Grown” mission support AI solutions.
Provide engineering and administrative support onsite for a team of developers and testers, including operating with deviations from industry standard procedures to meet mission needs while maintaining system security standards.
Work as part of a team to design, build, and maintain AWS and hybrid-cloud systems.
Administer systems based on Linux and Windows operating systems.
Maintain and troubleshoot IP networking systems for AWS and hybrid-cloud systems, including IPv4 networking.
Automate system deployment, operations, and maintenance using Infrastructure as Code and Configuration Management tooling.

Required Qualifications

Must be a US citizen with an active TS/SCI with Polygraph to be considered.
Experience requirement: 8 years with a Bachelor’s Degree, 6 years with a Master’s, 4 years with a PhD, or 12 years of experience in lieu of a degree.
Experience designing, deploying, and administering cloud-based solutions.
Experience with architecture, maintenance, and administration of Linux and Windows Operating Systems within large enterprise environments.
Experience automating tasks using tools such as Ansible, Bash, PowerShell, Puppet, or Python.
Proven experience working within IT Systems Design, Deployment and Administration.

Technologies

AWS
Linux and Windows (including Linux and Windows operating systems)
Infrastructure as Code
Configuration Management
Ansible, Bash, PowerShell, Puppet, Python
IP networking and IPv4 networking
OSPF, VLANs, VPNs
MySQL RDS and PostgreSQL
Podman, Docker, Kubernetes

Clearance Requirements

Clearance required for start: Yes. Clearance type: Polygraph.

Travel

Yes, 10% of the time.

Relocation Assistance

No relocation assistance available.

Benefits

Health Plan
Savings Plan
Paid Time Off
Additional benefits including Education Assistance and Training and Development
9/80 Work Schedule (where available)
Health insurance coverage
Life and disability insurance
Company paid holidays
PTO for vacation and/or personal business

Preferred Qualifications

Cloud service certification (e.g., AWS, Azure, Google, or similar).
Experience developing, deploying, and working through accreditation approvals for AI systems in a mission environment.
Experience with one or more programming languages.
Extensive experience designing, deploying, and troubleshooting IPv4 networking, including Subnetting, OSPF routing, VLANs, and VPNs.
Recent roles in technical or team leadership positions.
Knowledge of cloud database management (e.g., MySQL RDS and PostgreSQL).
Knowledge of cybersecurity in the context of the cloud.
Comfortable working in an Agile Development environment.
Experience managing and manipulating containers (e.g., Podman, Docker, Kubernetes).

View full job page →

12d ago

Data Engineer -5

Realign LLC Charlotte, NC

Charlotte, NC

12d ago

$98k+/yr Full time Big Data Bigdata Business Systems

Apply Now

Job Description

Realign LLC is hiring for an on-site Data Engineering PROD support role in Charlotte, NC.

Responsibilities

Implement efficient data flows and enforce data management standards
Enhance data quality while supporting continuous delivery and release cycles
Perform root-cause analysis for production issues across multiple technology stacks
Troubleshoot and fix performance issues
Support Dev work related to App Gov and other mandates
Analyze and resolve pipeline issues, performance bottlenecks, and data discrepancies
Adhere to enterprise data governance, compliance, and operational risk frameworks
Contribute to monitoring and observability for data pipelines (logs, metrics, health checks)
Support analytical workloads, BI tools, or data science teams
Apply data security practices including encryption, masking, and PII handling

Requirements

Experience: 5 to 10 years in Data Engineering, Software Engineering, or a related technical discipline
Primary skills: PySpark, Hive, Python, SQL, Hadoop
Python and SQL: strong proficiency for advanced data transformations
Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs
Practical experience with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems
Experience building and managing datasets in relational and/or cloud-based platforms including Teradata, Snowflake, SQL Server, Azure, AWS, and GCP
Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management
Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development
Knowledge of CI/CD pipelines, version control with Git, and automated deployment practices
Strong communication skills and ability to collaborate across engineering, product, and business teams
Advanced experience with performance tuning of SQL, Spark, or distributed data workflows
Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies
Prior experience in a financial institution or another regulated industry
Secondary: Unix, Agile, Base support

Technologies

PySpark, Hive, Python, SQL, Hadoop
Unix
ETL, ELT
Apache Spark, Databricks
Teradata, Snowflake, SQL Server
Azure, AWS, GCP
Git, CI/CD
MongoDB, Oracle
App Gov

Compensation and Location

Location: Charlotte, NC (onsite)
Salary: USD 98,000 per year
Minimum experience: 5 years

View full job page →

13d ago

Data Engineer I

Larry H. Miller Company Sandy, UT

Sandy, UT

13d ago

Full time Apache Airflow Cloud Data Warehouse Cloud Infrastructure

Apply Now

Job Description

Entry-level role on the Data & Analytics team focused on building and supporting reliable data pipelines and analytics-ready datasets.

Protect the legal, financial, and moral well-being of LHM and its portfolio companies
Support reliability, accuracy, security, and usability of data used for reporting, analytics, applications, and business decision-making
Improve data processes by reducing manual work and increasing operational efficiency
Follow LHM policies, data-security practices, coding standards, and change-management processes
Build, maintain, and support data ingestion and transformation pipelines using SQL, Python, and approved data-engineering tools
Ingest data from databases, APIs, cloud storage, flat files, and other approved sources into Snowflake or related platforms
Organize data into raw, staged, and curated layers aligned with established team standards
Create reusable, parameterized, maintainable pipeline components instead of one-time manual processes
Develop and maintain analytics-ready tables, views, data marts, and dimensional models for reporting and analysis
Apply business rules and standard definitions in partnership with analysts and business stakeholders
Implement data-quality checks for completeness, accuracy, duplicates, nulls, referential integrity, valid values, and unexpected record-volume changes
Reconcile data between source systems and the data platform, investigate discrepancies, and document findings
Schedule, monitor, and troubleshoot data jobs: review logs, identify root causes, document incidents, and escalate as appropriate
Support pipeline alerts, retries, restart procedures, and other reliability practices
Document data sources, refresh schedules, transformations, dependencies, ownership, and known limitations
Create technical specifications, process diagrams, test plans, and deployment documentation
Write and maintain unit, integration, regression, and data-validation tests; document test results
Use Git, pull requests, code reviews, and established development, test, and production promotion practices
Participate in technical design discussions and contribute to continuous improvement of the team’s data-engineering framework
Assist with Snowflake performance and cost optimization by improving queries, models, workloads, and data structures
Follow security and governance practices for sensitive financial, employee, customer, health, and other restricted data, including appropriate access controls and handling
Collaborate with data analysts, BI developers, application teams, finance, HR, and other stakeholders to deliver reliable data
Support production operations and participate in on-call or after-hours support when required by team practices
Stay current with modern data-engineering practices as the LHM data platform evolves
Perform other duties as assigned

Requirements

Bachelor’s degree in computer science, information systems, data engineering, data analytics, engineering, or a related field preferred; equivalent education, training, internship, project, or work experience may be considered
Zero to two years of experience in data engineering, software development, analytics engineering, database development, or a related field; relevant academic, internship, or portfolio projects may qualify
Demonstrated ability to deliver a data, programming, database, or automation project from requirements through testing and documentation
Strong foundation in SQL, including joins, common table expressions, aggregations, window functions, and basic query troubleshooting
Working knowledge of Python or another modern programming language, with willingness to develop in Python
Understanding of relational databases, data types, keys, normalization, and basic dimensional data-modeling concepts
Understanding of ETL and ELT, including ingestion, transformation, loading, incremental processing, and data validation
Familiarity with REST APIs and data formats such as JSON and CSV (or other common integration formats)
Familiarity with Git, source control, testing, debugging, and code documentation
Strong analytical and problem-solving skills, including investigating unexpected data results
Strong attention to detail with commitment to data accuracy, security, and reliability
Ability to communicate clearly in writing and verbally and tailor technical explanations to different audiences
Ability to work collaboratively, accept feedback, manage priorities, and ask for help when appropriate

Technologies

SQL, Python, Snowflake, Git
REST APIs, JSON, CSV
ETL, ELT, dbt
Control-M, Airflow, Prefect
AWS, S3, Lambda, Glue, Secrets Manager, SNS
Power BI
CI/CD, Docker, Linux
Data cataloging, metadata, lineage, data-governance
Dimensional data-modeling

Preferred knowledge and skills

Experience with Snowflake or another cloud data warehouse
Experience with dbt, Control-M, Airflow, Prefect, or another workflow-orchestration tool
Experience with AWS services such as S3, Lambda, Glue, Secrets Manager, or SNS
Experience with Power BI or other business-intelligence platforms, especially data models and semantic layers
Familiarity with CI/CD, Docker, Linux, cloud security, data cataloging, metadata, lineage, or data-governance practices
Familiarity with operational data such as financial, ERP, HR, ticketing, sports, real estate, or health-care
Basic understanding of accounting concepts such as general ledger, debits and credits, trial balance, and financial statements

Education (additional)

Preferred: Bachelor’s or better in Information Technology or related field

Reporting

Reports to: Director of Data and Analytics

Work location and environment

Onsite role in Sandy, UT
Physical requirements: primarily office setting; regularly required to sit, stand, bend, reach, and move about facilities; may be required to perform other duties as assigned