Data Engineer Jobs
Contact Government Services, LLC10 months ago
Los Angeles, CA, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Data Engineer – Full-Time, Mid-level | Department: Business Intelligence. CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform that empowers our federal customers with the tools and capabilities needed to turn data into actionable insights. At CGS, motivated, highly skilled, and creative people collaborate to solve challenging government problems using cutting-edge technology while enjoying a supportive environment and strong professional growth opportunities.
Key Responsibilities
- Complete development efforts across the data pipeline to store, manage, and provision data to consumers.
- Collaborate actively as a member of an Agile/Scrum team, following all Agile/Scrum best practices.
- Write code to ensure the performance and reliability of data extraction and processing.
- Support continuous process automation for data ingest.
- Advocate for technical excellence by adhering to lean-agile engineering principles including API-first design, continuous integration, version control, and automated testing.
- Work with program management and engineering teams to implement and document complex and evolving requirements.
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
- Collaborate with cross-functional teams including user experience researchers, designers, product managers, and other specialists.
Required Qualifications
- Must be a US Citizen and able to obtain a Public Trust Clearance.
- 7+ years of IT experience including design, management, and solutioning of large, complex data sets and models.
- Experience developing data pipelines from structured and unstructured sources in various formats.
- Proficiency in developing ETL processes and performing test and validation steps.
- Experience manipulating data using languages/tools such as Python, R, SQL, and SAS.
- Strong knowledge of big data analysis and storage tools and technologies.
- Solid understanding of agile principles and the CI/CD pipeline, with practical application experience.
- Experience with relational databases (e.g., PostgreSQL) and version control systems (e.g., Git).
Preferred Qualifications
- Experience creating and consuming APIs.
- Familiarity with DHS standards is a plus.
- Extensive experience with Python is highly desirable.
- Ability to develop visualizations using Tableau or PowerBI.
- Experience developing Shell scripts on Linux.
- Proven ability to translate business and technical requirements into comprehensive data strategies and analytic solutions.
- Excellent communication skills for engaging with both technical and non-technical audiences.
Benefits & Perks
- Compensation: $112,597.33 - $152,810.66 a year
- Health, Dental, and Vision
- Life Insurance
- 401k
- Flexible Spending Account (Health, Dependent Care, and Commuter)
- Paid Time Off and Observance of State/Federal Holidays
Required Skills
ETL Processes
Data Pipeline Development
Agile/Scrum
API Development
CI/CD
SQL
Linux Shell Scripting
Big Data Technologies
Python