Data Scientist - Active TS/SCI with FSP

Tomorrow Hire Llc.; Chantilly; Vor Ort; EUR 204.000 - 222.000; Vollzeit

Benefits dieser Stelle

Company-Paid Health Insurance

Life and Disability Insurance

401(k) Retirement Contribution 15%

200 hours PTO + 11 holidays

Recruitment and business development 0

Zusammenfassung

Tomorrow Hire Llc. in Chantilly, VA seeks a Data Scientist to design, build, and operate data processing pipelines for structured and unstructured datasets. You will transform logs into actionable reports and dashboards and support cloud-based analytics capabilities.

The role requires hands-on experience with Spark, PySpark, Python, SQL, ETL processes, and big data technologies, plus ability to work with customers and partners to translate objectives into technical solutions in an Agile setting.

Qualifikationen

• Demonstrated experience with Spark, PySpark, and Python.
• Demonstrated experience with ETL and data mapping/extraction/loading.
• Experience developing analytic reports with CloudWatch and Kibana.
• Experience transforming OS and data logs into reports, metrics and dashboards.
• Experience using RegEx in data extraction/transformation.
• Experience with SQL, MySQL, and PostgreSQL.
• Experience processing XML and JSON data formats.
• Experience with notebooks and Visual Studio for data modeling.

Aufgaben

• Design, develop, and maintain data processing and ETL workflows for structured and unstructured datasets.
• Perform data mapping, extraction, transformation, loading, standardization, and validation across data sources.
• Use Spark, PySpark, and Python to process and analyze complex datasets.
• Convert OS, system, event logs into analytic reports, metrics, and dashboards.
• Develop analytic reports using CloudWatch and Kibana.
• Perform data quality analysis to ensure data integrity.
• Create ETL design documentation with source-to-target mappings and data dictionaries.
• Interface with customers and integration partners to clarify objectives.
• Support Agile development; contribute to task definitions, scope, and reviews.
• Develop and maintain processing pipelines, workflows, and documentation.
• Triage and transform datasets into standardized data models.

Kenntnisse

Spark

PySpark

Python

SQL

ETL processes

Big data technologies

CloudWatch

Kibana

RegEx

Tools

Databricks

EMR

Elasticsearch

Logstash

Kibana

Notebooks

Visual Studio

Jobbeschreibung

Location:Chantilly, VA
Clearance Required:TS/SCI with Full Scope Polygraph (FSP)
Position Type:Full-Time, On-Site, Salary: $230,000-$250,000/yr.

We are seeking aData Scientistto support a mission-critical Sponsor environment focused on processing, transforming, analyzing, and managing complex datasets from structured and unstructured sources. This role will develop and maintain scalable data processing pipelines, perform data quality analysis, transform system and event logs into actionable reports and metrics, and support cloud-based analytics capabilities.

The ideal candidate will have strong hands-on experience withSpark, PySpark, Python, SQL, ETL processes, and big data technologies, along with experience developing analytic reports and working directly with customers and integration partners to understand technical objectives.

Primary Responsibilities:

• Design, develop, and maintain data processing and ETL workflows for structured and unstructured datasets.
• Perform data mapping, extraction, transformation, loading, standardization, and validation across multiple data sources.
• Use big data processing technologies such asSpark, PySpark, and Pythonto process and analyze complex datasets.
• Process and convert operating system, system, event, and data logs into analytic reports, metrics, and dashboards.
• Develop analytic reports using tools such asCloudWatch and Kibana.
• Perform extensive data review and data quality analysis to identify inconsistencies and ensure data integrity.
• Develop ETL design documentation, including source-to-target mappings and data dictionary information.
• Process data file formats includingXML and JSONand useRegular Expressions (RegEx)as required for data extraction and transformation.
• Work with relational database technologies includingSQL, MySQL, and PostgreSQL.
• Use IDEs, notebooks, and tools such asVisual Studiofor data modeling, development, and analysis.
• Develop enriched, query-friendly structured datasets from disparate structured and unstructured data formats.
• Interface directly with customers and integration partners to gather, clarify, and translate detailed objectives into technical solutions.
• Support Agile development activities by contributing to task definition, scope development, and reviews.
• Develop and maintain processing pipelines, technical workflows, software standards, and supporting documentation.
• Assist with identifying, classifying, validating, and processing incoming datasets, including non-standard data formats.
• Develop scripts and software modules as needed to triage and transform datasets into standardized data models.
• Support deployment of data processing pipelines to cloud analytics platforms.

Minimum Qualifications:

• Demonstrated experience with big data processing technologies includingSpark, PySpark, and Python
• Demonstrated experience withdata mapping, extraction, transformation, and loading (ETL)
• Experience developing analytic reports using tools such asCloudWatch and Kibana
• Experience processing and convertingoperating system and data logs into reports, metrics, and dashboards
• Experience usingRegular Expressions (RegEx)
• Experience withSQL, MySQL, and PostgreSQL
• Experience processingXML and JSONdata formats
• Experience with IDEs and data modeling throughnotebooks and Visual Studio
• Experience transforming disparate structured and unstructured data into enriched, query-friendly structured datasets
• Experience performing extensivedata review and data quality analysis
• Experience developingETL design documentation, including source-to-target mapping and data dictionary information
• Experience interfacing with customers and integration partners to gather and clarify detailed objectives
• Experience supportingAgile development, including task definition, scoping, and review
• ActiveTS/SCI clearance with Full Scope Polygraph (FSP)required at the time of application
• Ability to work full-time on-site in Chantilly, VA

Preferred Qualifications:

• Experience deploying capabilities using theDatabricks unified analytics platform
• Experience withElastic MapReduce (EMR)for big data workloads
• Experience joining multiple complex datasets usingSpark
• Experience tuningSpark streaming and batch jobsfor cluster utilization and performance
• Experience deploying complex,notebook-based pipelines
• Experience with Python data analysis libraries such asPandas
• Experience with cloud services such asLambda, SNS/SQS, and EC2
• Experience with DevOps and cloud technologies includingCloudWatch, Lambda, SQS, DynamoDB, and RDS
• Experience withElastic, Elasticsearch, Logstash, and Kibana (ELK stack)
• Experience evaluating, formatting, standardizing, and maintaining data from multiple sources
• Experience developing and managing data processing workflows within customer pipelines
• Experience evaluating, extracting, and processingsystem and event logs
• Experience identifying and implementingCOTS and open-source data enhancement capabilities
• Experience developing and deploying processing pipelines tocloud analytics platforms
• Experience developing software standards, practices, and technical documentation

Additional Requirements:

• Ability to work core hours of9:00 AM–3:00 PM
• Ability to provide occasionalweekend or after-hours supportfor operational issues, deployments, and critical activities
• Strong ability to work with customers, integration partners, and technical teams in a collaborative environment

Salary:$230,000-$250,000/yr. based on experience.

Our client offers a comprehensive and competitive benefits package, including:

• 100% Company-Paid Health Insurance:Full coverage for medical, dental, and vision insurance for employees and their dependents (United Healthcare and Guardian).
• Protection Plans:Employer-paid life, short-term disability, and long-term disability insurance.
• 401(k) Retirement Contribution:15% of base salary contributed by the company, fully vested from day one.
• Paid Time Off:200 hours of PTO annually (accrued), in addition to 11 federal holidays.
• Bonuses:Recruitment and business development bonus opportunities based on performance and company growth.