Mid-Level Data Engineer
$119,700–$119,700 year
On-siteSpringfield, Virginia, United States
Job Summary
Design, build, and maintain enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring and decision-making. Collect, transform, and organize data from SQL/NoSQL databases, APIs, and streaming services while implementing validation checks to ensure integrity. Build and optimize ETL/ELT pipelines, develop automation scripts, and troubleshoot monitoring and reporting issues independently. Collaborate with stakeholders to translate business requirements into scalable data solutions and present technical findings to both technical and non-technical audiences. Maintain documentation for data systems and workflows while utilizing Git for version control.
Required Qualifications
- High School Diploma or GED equivalent with 8+ years of relevant experience
- Associate's degree and 6+ years' experience
- Bachelor's Degree and 4+ years of experience
- Experience designing and maintaining ETL/ELT pipelines
- TS/SCI clearance
- Successfully pass background and drug screening
- Strong knowledge of cloud environments (AWS, Azure, or GCP)
- Familiarity with data warehousing, data modeling, and version control systems (e.g., Git)
- Excellent analytical, organizational, and communication skills
- Proficiency in Python, SQL, and working with RESTful APIs
- Ability to work independently and yet be effective within a team setting
- Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
- Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
- Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others
- Excellent skills in Microsoft Word, Excel, and other Office applications
- Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues
- Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired
Desired Qualifications
- Experience designing and developing dashboards, reports, and data visualizations using tools such as Grafana, Power BI, Tableau, Kibana, or similar platforms
- Experience automating data workflows using Apache Airflow or similar orchestration tools
- Experience with cloud platforms and services such as AWS (S3, Lambda, Glue), Azure Data Factory, or Google BigQuery for data storage, processing, and orchestration
- Familiarity with secure, scalable, and cost-effective cloud data solutions
- Familiarity with CI/CD practices in data engineering environments
- Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it
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