Mid-Level Data Engineer

This Mid-Level Data Engineer role at Chenega Agile Real-Time Solutions supports operational monitoring, analytics, and decision-making through enterprise data pipelines, dashboards, and visualization solutions. The position is based onsite in Springfield, VA and focuses on data quality, reliability, and scalable delivery of reporting capabilities.

Key Responsibilities

• Integrate operational events, service impacts, and system metrics into dashboards and visualizations using enterprise monitoring tools such as Grafana, Prometheus, and ServiceNow.
• Learn and apply new enterprise monitoring, visualization, analytics, and data platforms as business needs evolve.
• Design, build, and maintain interactive dashboards, reports, charts, and other visualizations that support operational performance reporting and actionable insights.
• Convert monitoring and analysis results into operational metrics used for decision-making.
• Collect, clean, transform, and organize data from SQL and NoSQL databases, APIs, streaming services, and flat files to ensure accuracy, consistency, and reliability.
• Develop, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized repositories and reporting.
• Implement data validation and quality checks to protect data integrity across platforms.
• Create scripts and automation to reduce repetitive work and improve operational efficiency.
• Independently and collaboratively troubleshoot data pipeline, observability, monitoring, and reporting issues.
• Partner with stakeholders, managers, analysts, and technical teams to translate business requirements into scalable data solutions.
• Maintain documentation for data systems, workflows, and business rules.
• Use Git for version control and follow development best practices to support dependable deployment and maintenance of data solutions.
• Present technical findings to both technical and non-technical audiences.
• Share knowledge of tools, processes, and best practices with teammates.
• Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement.
• Apply data modeling and data storytelling techniques to convert raw data into actionable insights.
• Perform other duties as assigned.

Required Qualifications

• High School Diploma or GED equivalent with 8+ years of relevant experience, OR Associate’s degree with 6+ years experience, OR Bachelor’s degree with 4+ years experience.
• TS/SCI clearance.
• Ability to successfully pass background and drug screening.
• Experience designing and maintaining ETL/ELT pipelines.

Technologies and Tools

• Grafana, Prometheus, ServiceNow
• Python, SQL, ETL, ELT
• RESTful APIs, Git
• Apache Airflow
• Power BI, Tableau, Kibana
• AWS (S3, Lambda, Glue), Azure Data Factory, Google BigQuery
• AWS, Azure, GCP
• Data visualization, data warehousing, data modeling
• CI/CD, streaming services

Preferred Qualifications

• Experience designing and developing dashboards, reports, and data visualizations using 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 including 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.

Knowledge, Skills, and Abilities

• Strong knowledge of cloud environments (AWS, Azure, or GCP).
• Familiarity with data warehousing, data modeling, and version control systems such as Git.
• Excellent analytical, organizational, and communication skills.
• Proficiency in Python, SQL, and working with RESTful APIs.
• Ability to work independently while remaining effective in a team environment.
• Capacity to manage multiple efforts with time-related constraints in a fast-paced contracting environment.
• Demonstrated ability to communicate and collaborate effectively with diverse internal and external stakeholders.
• Friendly presence, helpful attitude, and strong interpersonal skills.
• Excellent skills in Microsoft Word, Excel, and other Office applications.
• Proficiency in Microsoft Office Applications, experience working in a home office setting, and ability to train end users on frequently asked technical issues.
• Ability to provide technical assistance and support over the phone with professional phone skills and strong customer service experience.
• Good problem-solving skills, including the ability to visualize a problem and think abstractly to resolve it.

How You’ll Grow

At Chenega MIOS, the professional development plan focuses on helping team members at each career level identify and use strengths to do their best work every day. Growth opportunities include on-the-job learning experiences and formal development programs.

Benefits

Chenega MIOS offers a broad range of benefits and emphasizes that great people make a great organization. Learn more about what working at Chenega MIOS can mean for you.

Chenega MIOS Culture

The culture is described as positive and supportive, encouraging team members to do their best work daily. Team members are recognized for their uniqueness, with flexibility intended to support healthy, centered, confident, and aware living. Well-being programs are offered, along with ongoing efforts to sustain a culture focused on leading healthy and happy lives.

Corporate Citizenship

Chenega MIOS is described as being led by a purpose to make an impact that matters, focusing on education, giving, skill-based volunteerism, and leadership to support positive social impact in local communities. Additional information includes Chenega MIOS News: https://chenegamios.com/news/.

Talent Acquisition Resources

• Chenega MIOS web site: www.chenegamios.com
• Glassdoor: https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htm
• LinkedIn: https://www.linkedin.com/company/1472684/
• Facebook: https://www.facebook.com/chenegamios/