Bespoke Technologies

National security technology and operations

Data Scientist

Data EngineeringConfirmed live in the last 24 hours

Full-timeChantilly, VA, USANo salary listedIn-person

About the Job

Requirements

Demonstrated experience using big data processing technologies such as Spark, PySpark, and Python.
Demonstrated experience with data mapping, extraction, transformation, and loading.
Demonstrated experience building analytic reports using tools such as CloudWatch and Kibana.
Demonstrated experience processing and converting operating system and data logs into reports, metrics, and dashboards.
Demonstrated experience with regular expressions (RegEx).
Demonstrated experience with SQL, MySQL, and PostgreSQL.
Demonstrated experience processing XML and JSON data file types.
Demonstrated experience with integrated development environments and data modeling through notebooks and Visual Studio.
Demonstrated experience performing ETL of disparate structured and unstructured data formats into enriched, query-friendly structured data in indexed files.
Demonstrated experience performing extensive data review and data quality analysis.
Demonstrated experience developing ETL design documentation, including source and target mapping and data dictionary information.
Demonstrated experience interfacing with customers and integration partners to clarify detailed objectives.
Demonstrated experience supporting Agile development by contributing to task definition, scope, and review.

Responsibilities

Support the customer with requirements for new system capabilities, extension and maintenance of bulk data pipelines, and enhancements for multiple applications in the customer's cloud computing environment.

Desired Qualifications

Demonstrated experience deploying capabilities on the Databricks unified analytics platform.
Demonstrated experience with Elastic MapReduce to run big data workloads.
Demonstrated experience joining multiple complex data sets using Spark.
Demonstrated experience tuning Spark streaming and batch jobs for cluster utilization and speed.
Demonstrated experience deploying complex, notebook-based pipelines.
Demonstrated experience with Python data analysis libraries such as Pandas.
Demonstrated experience using cloud services such as Lambda, SNS/SQS, or EC2.
Demonstrated experience with DevOps tools including CloudWatch, Lambda, SQS, DynamoDB, and RDS.
Demonstrated experience working with Elastic, Elasticsearch, Logstash, or Kibana (ELK stack).

BT-478 – Data Scientist
Location: Chantilly

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

Support Customer with the requirements for new system capabilities, the extension and maintenance of bulk data pipeline and enhancements for multiple applications in the customers' cloud computing environment.

Requirements

Demonstrated experience utilizing big data processing tech such as Spark, Pyspark, and Python.
Demonstrated experience data mapping, extraction, transformation and loading.
Demonstrated experience building analytic reports in tools such as CloudWatch and Kibana.
Demonstrated experience processing and converting of OS and Data Logs into reports and metrics Dashboards.
Demonstrated experience with Regular Expressions (RegEx).
Demonstrated experience with SQL, MySQL, PostgresSQL.
Demonstrated experience with Data file type processing XML, JSON.
Demonstrated experience with IDEs and Data Modeling through Notebooks and Visual Studio.
Demonstrated experience ETL’ing data from disparate structured & unstructured data formats into enriched, query-friendly structured data in indexed files.
Demonstrated experience performing extensive data review and data quality analysis.
Demonstrated experience developing ETL design documentation including source and target mapping and data dictionary information.
Demonstrated experience interfacing with customers and integration partners for gaining and clarifying detailed objectives.
Demonstrated experience supporting Agile development by contributing to tasking definition, scope and review.

Optional Skills

Demonstrated experience deploying capabilities on the Databricks unified analytics platform.
Demonstrated experience with Elastic Map Reduce to run big data workloads.
Demonstrated experience in joining multiple complex data sets using Spark.
Demonstrated experience in tuning Spark streaming and batch jobs for cluster utilization and speed.
Demonstrated experience in deploying complex, notebook-based pipelines.
Demonstrated experience in Python data analysis libraries such as Pandas.
Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2.
Demonstrated experience with DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS.
Demonstrated experience working with Elastic, ElasticSearch/Logstash/Kibana (ELK stack).

About the Company

Bespoke Technologies

National security technology and operations

Bespoke Technologies is a woman-owned federal technology contractor supporting national and homeland security missions. It provides digital transformation, systems engineering, software development, cybersecurity, cloud solutions, program management and intelligence operations support. Technical and mission teams work with federal customers from design and deployment through sustainment, analysis and training. The company also applies data and emerging technology to targeting, counterintelligence and decision support, keeping its identity grounded in secure government services rather than consumer software or general staffing.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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