Mid-Level Data Engineer

Posted 18 Days Ago
Homeland, VA, USA
In-Office
130K-140K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Security • Software
The Role
Support and maintain cloud-based data pipelines and warehouses (Redshift/AWS). Develop ETL, data ingestion, and validation processes, collaborate with data scientists to deploy models, ensure performance and reliability, automate ingest workflows, and follow agile and CI practices while documenting evolving requirements for a DHS federal customer.
Summary Generated by Built In
Job Summary & Responsibilities

Everforth ECS is seeking a Mid-Level Data Engineer to work remotely.  

 

Everforth ECS is seeking an experienced Mid-Level Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing data solutions that empower our federal customers. In this role, you will be guiding a cross-functional team (composed of data scientists, data engineers, developers, and functional staff) to support our Department of Homeland Security (DHS) Office of the Chief Information Officer (OCIO) customer. The project being supported is extremely high priority and has a lot of visibility from senior Federal leadership.

 

You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner.  Processing data will include managing, manipulating, storing and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important.

 

Job responsibilities include:

  • 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.

Salary Range: $130,000 - $140,000
General Description of Benefits

Preferred 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).

 

Skills Required

  • 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).

ECS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.

  • Healthcare Strength ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
  • Retirement Support A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
  • Parental & Family Support Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.

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The Company
HQ: Elkhorn, NE
2,129 Employees
Year Founded: 1993

What We Do

ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.

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