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Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

One of our Public Sector customers has won a long-term project and is looking to add multiple, cleared engineers to their team in Northern Virginia

This position requires candidates to have an active TS/SCI w/ FSP clearance and to be able to be on-site in either Herdon or Reston, VA.

General qualifications include:

* Experience with technologies like Python, Javascript (Frameworks and Libraries), and SQL is preferred
* Experience in an AWS environment is required
* Ability to be on-site 40 hours a week
* Active FSP - Ability to provide proof of clearance (Scattered Castles)

Benefits:

* 100% paid insurance for individuals and dependants - Platinum UHC
* 100% 401k match on first 3%, 50% match on next 4%
* Growth bonus
* Profit share
* Paid overtime
* Real estate services
* Long-term and Group Life insurance - 60% salary paid

Job Description

Senior Full Stack Engineer that will help develop next-generation solutions, including a redesign of web applications. The goal is to aggregate data and information assets to create a simplified and user-friendly experience for the customers.

Role & Responsibilities

* Engage in the creation of full-stack applications for web and mobile platforms.
* Establish back-end solutions, APIs, and data streams leveraging C# expertise.
* Build contemporary and user-friendly front-end apps utilizing React/Vue technology.
* Render support and upkeep for pre-existing apps built on Java, C# .Net Core, .Net Framework, Node.js, and PHP.
* Mentor other team members.

Preferred Skills & Qualifications

* Bachelor's degree in computer science or equivalent experience or Master's degree
* Software development experience with C# and .NET Core
* Experience in front-end development, React or Vue, and CSS pre-processor
* Prior experience and/or certifications in cloud platforms and technologies.

Salary and Benefits

* $140,000-$150,000/yr
* Annual Performance-Based Bonus Structure
* Health Benefits and 401K Plan
* PTO

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines

Job Description: As a lead data engineer you will be responsible for creating a new data pipeline, ETL process, and architecture for 2.0 of our client's platform. This could include multi-model databases (including PostgreSQL and graph databases).

Role & Responsibilities

* Creating and maintaining a scalable ETL data pipeline that ingests multiple data sets both structured and unstructured data
* Creating and maintaining a multi-model data storage system including PostgresSQL, AWS Architecture and graph databases
* Working with Data Science team to enable ML Ops
* Ability to efficiently query and obtain data via SQL
* Assist Dev and Data Science teams with processing and integrating data analysis
* Clearly documenting processes, methodologies and tools used

Skills & Qualifications

* Experience as Data Engineer in the AWS Ecosystem
* Usage and experience writing complex SQL queries and analysis of data correlations
* Heavy experience with Redshift, Glue, and other tools
* Experience with multi-model DB and ETL Pipelines