Mid-Level Data Engineer

Responsibilities

Complete development efforts across data pipeline to store, manage, store, and provision to data consumers

Partner with data scientists, data architects, and federal stakeholders to deploy models in production

Write code to ensure the performance and reliability of data extraction and processing

Support continuous process automation for data ingest

Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing

Work with program management and engineers to implement and document complex and evolving requirements

Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork

Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists

Benefits

Remote work

Glassdoor

3.4

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees.

Fairfax, Virginia, USA

https://www.ecstech.com

Late Stage

Total Funding

unknown

2018-01-31

Acquired

2015-04-10

Private Equity

Leadership Team

Keith McCloskey

Chief Technology Officer | Vice President

Ryan Garner

Chief Financial Officer

Recent News

Washington Technology

DHS moves on awards for $640M technical services pact

2026-06-30

EIN Presswire

ECS and InduMar Partner to Provide Advanced Composite Repair and Pipeline Integrity Solutions

2026-03-12

Business Wire

ECS Names Government and Technology Leader Donnie Scott as President

2026-02-18

Company data provided by

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Qualifications

Must be a US Citizen

Must be able to obtain Public Trust Clearance

7+ years of IT experience including experience in working with modern cloud data warehouse technologies

Experience with designing table models

Experience with ingesting data of various types into the Redshift data warehouse

Proficiency in developing ETL processes, and performing test and validation steps

Proficiency in manipulating data (Python, R, SQL, SAS)

Strong knowledge of big data analysis and storage tools and technologies

Strong understanding of the agile principles and ability to apply them

Experience working inside the AWS ecosystem

Experience with relational databases (e.g., PostgreSQL)

Work comfortably in version control systems (e.g., Git)

7+ years of IT experience including experience in working with modern cloud data warehouse technologies.

Required skills

Amazon Redshift, Data Modeling, ETL, Python, R, SQL, SAS, Amazon Web Services (AWS), PostgreSQL, Git, Agile Methodologies, Public Trust Clearance

Experience

7+ years