As a Mid-Level Data Engineer, you will design, develop, and maintain enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making within a fast-paced environment.
Location
Springfield, VA (onsite)
Role Responsibilities
- Integrate operational events, service impacts, and system metrics into dashboards and visualizations using enterprise monitoring tools including 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 visualizations to communicate operational performance and actionable insights.
- Translate monitoring and analysis outputs into operational metrics that support decision-making.
- Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to support accuracy, consistency, and reliability.
- Build, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized data repositories and reporting.
- Implement data validation and quality checks to maintain data integrity across data platforms.
- Develop scripts and automation to streamline repetitive tasks and improve operational efficiency.
- Investigate and troubleshoot data pipeline, observability, monitoring, and reporting issues independently and collaboratively.
- Collaborate 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 reliable 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 team members.
- Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement.
- Apply data modeling and data storytelling techniques to transform 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 OR Bachelor’s Degree with 4+ years.
- TS/SCI clearance.
- Successfully pass background and drug screening.
- Experience designing and maintaining ETL/ELT pipelines.
Technologies
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 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.
Knowledge, Skills, and Abilities
- 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 effectively within a team setting.
- Capable of managing multiple efforts with time constraints in a fast-paced contracting environment.
- Demonstrated ability to communicate and collaborate with diverse internal and external stakeholders.
- Friendly presence, helpful attitude, and good interpersonal skills.
- Excellent skills in Microsoft Word, Excel, and other Office applications.
- Proficient with Microsoft Office Applications, including experience working in a home office setting and training end users on frequently asked technical issues.
- Ability to provide technical assistance and support over the phone; professional demeanor and previous customer service experience strongly desired.
- Good problem-solving skills, including the ability to visualize problems and think abstractly to solve them.
Professional Growth
- At Chenega MIOS, the professional development plan supports team members at every level to identify and use strengths to do their best work every day.
- Opportunities include on-the-job learning experiences and formal development programs.
Benefits
- Chenega MIOS offers a broad range of benefits and encourages prospective applicants to learn more about what working there can mean.
Culture and Community
- Positive and supportive culture that encourages team members to do their best work every day.
- Well-being programs and ongoing efforts to maintain a culture that supports healthy, happy lives.
- Community impact focused on education, giving, skill-based volunteerism, and leadership.
- Chenega MIOS News: https://chenegamios.com/news/
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