Software Engineering

Software Engineering Data Jobs

46 jobs found

1mo ago

Software Engineer – Platform Performance & Data Analytics

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

1mo ago Closed

Full time Backend Developer Python .NET

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Lockheed Martin offers a mission-driven environment with a commitment to purposeful innovation, strong career development, and a balanced benefits package. This onsite role in Fort Worth, TX focuses on designing and delivering analytics for platform performance, working across a cross-functional engineering team throughout the solution lifecycle. A Bachelor's degree is required, and candidates must be a US citizen with a Secret security clearance.

Benefits

Medical coverage
Dental coverage
401(k) plan
Paid time off
Support for work–life balance
Career development opportunities
Mentorship programs
Rewards and recognition programs

Responsibilities

Contribute to building software solutions within large, data‑driven ecosystems with emphasis on scalability and maintainability
Translate stakeholder needs into technical designs and development tasks under guidance from senior engineers
Help uphold system standards across software, tooling, and data platforms
Assist in developing proof‑of‑concept prototypes to validate approaches and reduce risk
Participate in formal design reviews and comply with engineering standards and cybersecurity controls

Requirements

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related field
Experience with Python, C++, or C#, with familiarity in object oriented programming, APIs, and common design patterns
Experience with the software development lifecycle in a team environment, including peer reviews, unit testing, configuration management, and defect tracking
Experience using agile software development tools and methodologies such as Git, Jira, Confluence, Jenkins, and GitLab
U.S. citizenship is required. The position is at a facility with special access, and a Secret clearance must be updated within the last five years to be considered

Technologies

Python
C++
C#
Git
Jira
Confluence
Jenkins
GitLab
Tableau
Plotly Dash
NumPy
Pandas

Position details

Location: Fort Worth, TX (onsite)
Type: Full-Time
Experience level: Experienced Professional
Shift: First
Relocation: Possible

Security and clearance

This position requires a government security clearance. US citizenship is required, and the role carries a Secret clearance.

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1mo ago

Analytics Software Engineer (Core Platform Developer)

NavitasPartners Yonkers, NY

Yonkers, NY

1mo ago Closed

$40+/hr Full time Backend Developer Python API

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Analytics Software Engineer (Core Platform Developer) is responsible for building analytics applications, data pipelines, and microservices within a mission-critical data platform, with potential Top Secret clearance.

Responsibilities

Design, implement, and evolve analytics applications on the core data platform
Create reusable components, plugins, and APIs to extend analytics capabilities
Develop and maintain microservices for data processing and analytics workflows
Design and implement data pipelines to process flight test and mission data
Ensure data integrity, scalability, and performance across large datasets
Integrate diverse data sources into centralized analytics systems
Build solutions for containerized and cloud-edge environments
Leverage Docker and Kubernetes for deployment and orchestration
Contribute to CI/CD pipelines using modern DevOps tools
Collaborate with data scientists, analysts, and system engineers
Participate in code reviews, testing, and debugging activities
Adhere to best practices in software development, version control, and documentation

Requirements

Strong programming experience in Python, Java, or C++
Hands-on REST API development experience
Experience with Linux-based systems
Familiarity with Docker and Kubernetes
Experience with GitLab and CI/CD pipelines
Solid understanding of software engineering principles and scalable system design

Technologies

Python
Java
C++
REST API
Linux
Docker
Kubernetes
GitLab
CI/CD pipelines

Role overview

We are seeking a skilled analytics software engineer to develop and enhance advanced analytics applications within a mission-critical data platform environment. The role focuses on building scalable analytics solutions, data pipelines, and microservices to support processing of complex test and mission data. The ideal candidate will have strong software engineering fundamentals, experience with data-intensive systems, and exposure to defence or test and evaluation environments. Potential Top Secret clearance may be required.

Key competencies

Strong problem-solving and analytical thinking
Ability to operate effectively in complex, data-heavy environments
Clear communication and collaboration skills
Adaptability to fast-paced and evolving technical requirements

Preferred qualifications

Experience in Test & Evaluation (T&E) systems
Background in defence RDT&E environments
Familiarity with big data analytics frameworks
Experience with mission-critical or real-time data systems

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1mo ago

Senior Software Engineer - Data & Analytics- Contingent

Experis Charlotte, NC

Charlotte, NC

1mo ago Closed

$76 - $76/hr Contract Senior Apache Spark Bash Scripting

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

This contingent Senior Software Engineer role centers on data and analytics within a large enterprise, based onsite in Charlotte, NC. The position is structured as a contract engagement with an hourly rate of USD 76. The successful candidate will design, build, and maintain high‑performance data pipelines and translate business requirements into technical solutions using SQL, PySpark, and Python.

Responsibilities

Design, develop, and maintain scalable, high‑performance data pipelines within a large enterprise environment
Create and optimize data processing solutions using SQL, PySpark, and Python
Own assigned deliverables end to end, from design through production support
Drive prior initiatives to completion, clearly communicating status, risks, and dependencies
Collaborate closely with product managers and upstream/downstream teams to translate business requirements into technical solutions

Requirements

Seven or more years of overall experience as a Software Engineer
Four or more years of experience building large data pipelines
Hands‑on experience with Apache Spark, Hive, and Iceberg tables
Strong programming proficiency in Python, PySpark, SparkSQL, Scala, and Bash scripting
Experience with CI/CD pipelines, code quality improvement, and vulnerability remediation

Technologies

SQL
PySpark
Python
Apache Spark
Hive
Iceberg
SparkSQL
Scala
Bash scripting

Benefits

Opportunity to own outcomes and influence architecture in a dynamic environment
Work on impactful projects with high visibility
Collaborate with a talented team of professionals
Engage in continuous learning and development opportunities
Be part of a forward‑thinking organization committed to innovation

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2mo ago

AI/Machine Learning Engineer Senior

Lockheed Martin Corporation Grand Prairie, TX 🇺🇸 Remote

Grand Prairie, TX

2mo ago Closed

$109k - $217k/yr Full time Senior Artificial Intelligence Azure Ml

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

We are seeking a senior AI and machine learning engineering leader to head Lockheed Martin's AI Consulting portfolio, directing the design, development, and deployment of AI solutions across the enterprise by integrating software engineering with advanced AI/ML capabilities and business strategy.

Location

Grand Prairie, TX (remote)

Salary

USD 108,800 - 216,890 per year

Responsibilities

Partner with business stakeholders to identify opportunities and craft AI solutions
Model complex business and engineering problems using machine learning and feature engineering techniques
Deploy AI capabilities and guide projects from inception to delivery
Apply established best practices from machine learning and software engineering
Produce knowledge resources to disseminate best practices across AI and data science teams
Engage with data science leaders to share and discuss best practices

Requirements

Bachelor's degree in Engineering, Computer Science, or a related field, with at least five years of professional experience
Master's degree with three years of professional experience
Significant experience applying ML techniques to business problems, including natural language processing, deep learning, anomaly detection, and reinforcement learning
Experience with Python, TypeScript, or compiled languages such as C++, Go, and similar technologies
Experience developing software and adhering to software engineering best practices
U.S. citizenship is required

Technologies

Python
TypeScript
C++
Golang
AWS
Google Cloud
Azure
TensorFlow
Gymnasium
RLlib
Stable Baselines
RL Coach

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
Employee Assistance Program (EAP)
Education Assistance
Parental Leave
Paid time off
Holidays
Incentive plan eligible

Experience Level

Experienced Professional

Career Area

Artificial Intelligence

Business Unit

Enterprise Business Services

Relocation Available

Type

Full-Time

Shift

First

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2mo ago

Senior Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

2mo ago Closed

$230k - $262k/yr Full time AWS Azure Ml Cloud Architecture

This position is no longer accepting applications (closed Jun 9, 2026).

Job Description

Capital One is seeking a Senior Lead Machine Learning Engineer to drive the productionization of ML applications at scale within an Agile team. The role centers on shaping ML architecture, reviewing model and application code, and ensuring the high availability and performance of ML systems in production.

Location: McLean, VA (onsite)

Salary: USD 229,900 - 262,400 per year

Responsibilities

Design, build, and deliver ML models and components that address real business needs, collaborating with Product and Data Science teams.
Inform ML infrastructure decisions with a solid understanding of modeling techniques, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Develop and test application code, train and validate ML models, and automate tests and deployment.
Collaborate within a cross-functional Agile team to create and enhance software enabling state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production environments.
Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure reliable deployment of ML models and application code.
Ensure code quality and governance to reduce vulnerabilities, uphold risk standards, and follow Responsible and Explainable AI practices.
Work with programming languages such as Python, Scala, or Java.

Requirements

Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing; internship experience does not count toward this requirement.
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Technologies

Python, Scala, Java
scikit-learn, PyTorch, Dask, Spark
Kubeflow, TensorFlow
AWS, Azure, Google Cloud Platform

Benefits

Performance-based incentive compensation
Health benefits
Financial benefits

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2mo ago

Sr. Machine Learning Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

2mo ago Closed

$168k - $227k/yr Full time Senior Artificial Intelligence Large Language Models

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Senior Machine Learning Engineer at Amazon.com Services LLC, onsite in Seattle, WA, with a yearly salary range of USD 168,100 to 227,400, focused on production ML systems, scalable deployment of Generative AI/ML methods, and mentorship.

Responsibilities

Collaborate with Applied Scientists and cross‑functional engineering teams to transform research code into robust, scalable production systems
Own end‑to‑end deployment at scale of Generative AI and ML methods, ensuring reliability and performance
Establish scalable, efficient automated processes for large‑scale data analysis, model development, validation, and serving
Research and implement innovative approaches for efficient model deployment, training, and optimization
Document processes and methods for technical and non‑technical audiences to enable knowledge transfer and best practices
Contribute to code reviews and uphold high engineering standards across the team
Mentor junior MLEs and actively participate in recruiting top talent to grow the team
Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

Requirements

5+ years of non‑internship professional software development experience
5+ years of programming experience in at least one software programming language
5+ years of leading design or architecture for new and existing systems, including design patterns, reliability, and scalability
Experience as a mentor, tech lead, or leading an engineering team
Proficiency in Python and/or C++
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Technologies

Python
C++
Transformer architecture
LLMs (Large Language Models)

Benefits

Sign‑on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescriptions; Basic Life & AD&D; option for supplemental life; EAP; mental health support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement)
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

5+ years of full software development lifecycle experience, including coding standards, code reviews, source control, build processes, testing, and operations
Bachelor's degree in computer science or equivalent

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Software Engineering Data Jobs

Software Engineer – Platform Performance & Data Analytics

Analytics Software Engineer (Core Platform Developer)

Senior Software Engineer - Data & Analytics- Contingent

AI/Machine Learning Engineer Senior

Senior Lead Machine Learning Engineer

Sr. Machine Learning Engineer

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