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3 jobs found

2d ago

Data Engineer

VTG Chantilly, VA

Chantilly, VA

2d ago

Full time Aws Cloudwatch Big Data Bigdata

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Job Description

VTG is seeking an experienced Data Engineer to design, develop, and maintain scalable data processing solutions. The role centers on building ETL pipelines and analytics-ready datasets, integrating structured and unstructured sources, and ensuring data quality within an Agile delivery environment.

Key Responsibilities

Design, develop, and maintain scalable data processing and ETL pipelines using Python, PySpark, and Apache Spark.
Extract, transform, and load data from multiple structured and unstructured sources into optimized, query-ready datasets.
Develop and maintain data mapping, transformation, and integration processes aligned to business and technical requirements.
Process large volumes of operating system logs, application logs, and other data sources to produce structured reports, metrics, and analytics dashboards.
Transform disparate data formats into enriched, indexed, and query-friendly datasets.
Develop and optimize data processing workflows to improve performance, efficiency, and reliability.
Build and maintain data integration solutions using SQL, MySQL, and PostgreSQL.
Work with structured and semi-structured data formats, including XML and JSON.
Perform data extraction, cleansing, transformation, and validation to ensure accuracy and consistency.
Create and maintain data models, database queries, and data mapping specifications.
Use Regular Expressions (RegEx) to parse, extract, validate, and transform complex data.
Support integration of data across multiple systems, applications, and external sources.
Produce and maintain ETL design documentation, including source-to-target mappings, transformation rules, and data dictionaries.
Utilize development environments and tools such as Jupyter Notebooks and Visual Studio for data modeling, analysis, and development.
Implement data validation and quality assurance processes to protect data integrity, accuracy, and completeness.
Troubleshoot and resolve data processing, integration, and performance issues.
Maintain technical documentation describing data workflows, processing logic, and integration requirements.

Required Qualifications

Active TS/SCI with Polygraph
Bachelor’s degree in Computer Science, Information Technology, or a related technical field
Demonstrated experience developing data processing solutions using Python, PySpark, and Apache Spark
Hands-on experience designing, developing, and maintaining ETL pipelines and data transformation workflows
Strong background in data extraction, mapping, transformation, integration, and loading processes
Proficiency in SQL and experience with relational databases such as MySQL and PostgreSQL
Experience processing structured, semi-structured, and unstructured datasets
Experience working with XML, JSON, and other common data formats
Strong knowledge of Regular Expressions (RegEx) for data parsing, extraction, and manipulation
Experience analyzing operating system and application logs and converting them into actionable reports and dashboards
Experience developing reports and visualizations using AWS CloudWatch, Kibana, or comparable tools
Experience with data profiling, data quality analysis, validation, and troubleshooting
Ability to develop detailed ETL documentation, including source-to-target mappings and data dictionaries
Experience using Jupyter Notebooks, Visual Studio, or similar development environments
Strong analytical, troubleshooting, and problem-solving skills
Experience collaborating with customers and integration partners to define and clarify technical requirements
Familiarity with Agile software development methodologies and practices

Location and Work Setup

Chantilly, VA (onsite)

Technology Stack

Python, PySpark, Apache Spark, SQL, MySQL, PostgreSQL, XML, JSON, Regular Expressions (RegEx), Jupyter Notebooks, Visual Studio, AWS CloudWatch, Kibana

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1mo ago

Big Data Analyst

Reinventing Geospatial, Inc. (RGi) Herndon, VA

Herndon, VA

1mo ago Closed

$130k - $190k/yr Full time Apache Zeppelin Big Data Data Analysis

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Reinventing Geospatial, Inc. (RGi) is hiring a Big Data Analyst in Herndon, VA (onsite) to support dataset evaluation and analytics work for government decision-making.

Responsibilities

Perform and develop dataset evaluations and assessments to inform government decision making.
Shape data engineering approaches to improve analytic tradecraft within applications.
Identify, document, and track gaps in the data corpus and in analytic capabilities.
Collaborate with software developers to field requirements and provide feedback as application changes are implemented.
Support end-users as an SME for questions and requests related to data and applications.

Requirements

Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.
Bachelor’s degree in a relevant field, or equivalent years of experience in lieu of a degree.
At least 5 years of experience as a data analyst, data scientist, or similar role.
Experience formulating a repeatable process for data evaluations and communicating findings to government officials.
In-depth knowledge of technical data types, including Technical Telemetry Data and other telecommunication protocol data types (cellular and Wi-Fi).
Excellent written and verbal communication skills.
Self-starter with strong time-management and ability to independently manage multiple concurrent tasks.
Experience working in fast-paced environments.
Experience working with Software Engineers to provide feedback and validate technical implementation for custom applications.
Experience with scripting languages such as Python, SQL, Spark, PySpark, or similar.
Ability to work onsite in Herndon, VA, with ability to work in Springfield, VA as needed.

Technologies

Python, Java
ArcGIS
SQL
Spark, PySpark
Elasticsearch, Kibana
Gitlab
Jupyter Notebooks
Apache Zepplin

Preferred / What We Would Like to See

Ability to translate technical conclusions and present them to a broader audience.
Experience conducting geospatial analysis including Activity-Based Intelligence or Pattern of Life analysis.
Experience applying, improving, and documenting innovative analytic methodologies while keeping them up to date.
Experience with Elasticsearch/Kibana.
Experience in a customer facing role.
Familiarity with Gitlab and the Software Development Lifecycle.
Experience with Jupyter Notebooks or Apache Zepplin.
Experience working with other intel analysts and/or special operations customers.

Compensation

USD 130,000 - 190,000 per year

Benefits

100% paid employee healthcare & dental insurance
Paid parental leave
401k with matching
Escalating vacation time
Referral bonuses
Tuition reimbursement
Professional development training
Free beverages and snacks
Weekly catered lunches and breakfast on Fridays

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1mo ago

Senior Data Scientist

GitHub, Inc. Remote 🇺🇸 Remote

Remote

1mo ago Closed

$124k - $329k/yr Full time Python Senior Apache Airflow

This position is no longer accepting applications (closed Sep 24, 2026).

Job Description

Remote role for a Senior Data Scientist focused on data acquisition, data quality, and building validated data science and AI/ML models.

Responsibilities

Lead data acquisition efforts, ensuring datasets are properly formatted, accurately described, and aligned with GitHub privacy policies
Mentor others in data cleaning and data analysis best practices
Identify gaps in existing datasets and drive onboarding of new datasets from production systems or third-party vendors
Collaborate with relevant teams to resolve data integrity issues and support upstream change for long-term quality
Use expertise in data modeling, AI/ML tools, programming languages, and query languages to:
- Create models
- Conduct experiments
- Analyze results
- Evaluate methodology and performance of team model outputs
- Recommend improvements
Drive best practices for model validation, implementation, and application
Partner across the organization to identify and explore opportunities for transformative solutions for stakeholders and customers
Develop and communicate data-driven strategies aligned to business priorities
Lead conversations with end customers and/or internal stakeholders to define and solve business problems
Communicate complex statistics and machine learning topics to diverse audiences (multidisciplinary teams, customers, technical and non-technical)
Independently write efficient, readable, extensible code across multiple features or solutions
Contribute to code and model review by providing feedback and implementation improvement suggestions
Drive operational excellence for model deployment, including performance, scalability, monitoring, maintenance, integration into engineering production systems, and stability
Produce project plans to define steps needed for completion and deliver measurable improvement in business performance metrics over time

Requirements

Bachelor’s Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques)
OR Master’s Degree in the same fields AND 3+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques)
Technical understanding of data science techniques including regression, classification, time-series analysis, experimental design, and causal inference
Proficiency in Python or R
Experience with query languages such as SQL and KQL
Experience with data manipulation tools such as Spark and Airflow
Ability to communicate findings to non-technical stakeholders using storytelling and visualization with tools such as Jupyter notebooks or Azure Data Explorer/PowerBI dashboards

Technologies

Python
R
SQL
KQL
Spark
Airflow
Jupyter notebooks
Azure Data Explorer
PowerBI

Benefits

Annual bonus
Stock
Sales incentives based on revenue or utilization (depending on the plan terms and employee role)
Benefits to support you, wherever you are

GitHub Leadership Principles

Customer-obsessed
Ship to learn
Growth mindset
Own the outcome
Better together
Diverse and inclusive
Model
Coach
Care
Create clarity
Generate energy
Deliver success

Compensation

Base salary range: USD 124,000.00 - USD 329,200.00 per year.

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