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Mid-Level Data Engineer

Chenega Corporation

Springfield, VAJobSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
Springfield, VA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearance

Job overview

The Mid-Level Data Engineer designs, develops, and maintains enterprise data pipelines, dashboards, and visualization solutions for operational monitoring, analytics, and decision-making. The role integrates data from monitoring platforms, databases, APIs, streaming services, and files, and supports data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, and can communicate findings to technical and non-technical stakeholders.

Skills & qualifications

RequiredNice to have

Skills

ETL/ELT PipelinesDashboard DevelopmentData VisualizationApache AirflowCloud PlatformsCloud Data SolutionsCI/CDData WarehousingData ModelingVersion ControlPythonSQLRESTful APIsAnalytical SkillsOrganizational SkillsCommunicationTeamworkTime ManagementMicrosoft OfficeEnd-User TrainingTechnical SupportCustomer ServiceProblem-Solving

Qualifications

High School Diploma or 8+ Years Experience, Associate Degree and 6+ Years, or Bachelor's Degree and 4+ YearsTS/SCI ClearanceBackground and Drug Screening8+ Years Relevant Experience, Associate Degree and 6+ Years, or Bachelor's Degree and 4+ Years

Full job description

Req ID: 43103

Summary

Mid-Level Data Engineer

Springfield, VA

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employers core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!

Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace.

The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making. This role works with enterprise monitoring platforms, cloud technologies, databases, APIs, and automation tools to collect, transform, and visualize operational data while ensuring data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, along with the ability to communicate technical findings to both technical and non-technical stakeholders.

Responsibilities

  • Work with enterprise monitoring tools including Grafana, Prometheus, and ServiceNow to integrate operational events, service impacts, and system metrics into dashboards and visualizations.

  • Quickly 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 that communicate operational performance and actionable insights.

  • Translate monitoring and analysis results into meaningful operational metrics that support decision-making.

  • Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to ensure 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.

  • Utilize Git for version control and follow established development best practices to support reliable deployment and maintenance of data solutions.

  • Present technical findings to both technical and non-technical audiences.

  • Collaborate with team members and share knowledge of tools, processes, and best practices.

  • 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.

  • Other duties as assigned

Qualifications

  • High School Diploma or GED equivalent with 8+ years of relevant experience OR:

  • Associates degree and 6+ years experience OR:

  • Bachelors Degree and 4+ years experience

  • Experience designing and maintaining ETL/ELT pipelines.

  • TS/SCI clearance

  • Successfully pass background and drug screening

Preferred 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.

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 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.

  • Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

How youll grow

At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe theres always room to learn.

We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.

Benefits

At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.

Learn more about what working at Chenega MIOS can mean for you.

Chenega MIOSs culture

Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.

Corporate citizenship

Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.

Learn more about Chenegas impact on the world.

Chenega MIOS News- https://chenegamios.com/news/

Tips from your Talent Acquisition Team

We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links:

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/

#Chenega Agile Real Time Solutions, LLC

Chenega Corporation and family of companies is an EOE.

Equal Opportunity Employer/Veterans/Disabled

Native preference under PL 93-638.

We participate in the E-Verify Employment Verification Program

How this job compares

Set against the 6,039 open Data Engineer jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This postingNot listed
  • Virginia median$122–195K/yr351 salary ranges
  • US median$60–73/hr269 hourly ranges
Openings
Olive Jobs lists 433 open Data Engineer jobs in Virginia and 6,039 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 4 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,296 postings).
Education
2,349 of the 6,039 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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