Data Engineer

The Data Engineer plays a critical role in managing and processing data to support our organization’s analytical and operational needs. This position involves working with data pipelines, databases, and architectures to ensure data quality and accessibility.

Essential Functions and Responsibilities:

• Analyze raw data from various sources
• Develop and maintain datasets, schemas and models
• Improve data quality and efficiency
• Document data flows and mappings
• Collaborate with data analysts, scientists and other stakeholders
• Duties are performed via a government approved computer system. Employees are required to possess strong computer skills in MS Word and Excel.
• Perform related duties as assigned, within your scope of practice - management reserves the right to revise these duties as necessary
• Develop internal/external reports
• Assist with buildout of data dictionary
• Analyze data sets to ensure alignment to overall organizational focus
• Advise on updated reporting to capture data through mapping and format it in a useable format that can be easily interpreted by other departments
• Bring innovation and creativity to legacy technologies and programs to drive/shift changes, * Ability to obtain/maintain a Security Clearance.
• Favorable credit check for all cleared positions.
• Successfully pass a background investigation, drug screen.
• May be required to pass or present specific requirements depending on the position (i.e., DOT exam, vaccinations, CPR, flu shot).
• US Citizenship

Physical Requirements/Working Conditions:

Consider the position at hand (i.e., lifting, pushing, and pulling will not be very necessary). Percentages should be modified to reflect the necessity for each position.

Standing/Walking/Mobility: Must have the mobility to attend meetings with other managers and employees., This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description. For more information about the company please visit our website at www.mvminc.comMVM is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, disability or any other federal, state or local protected class.MVM complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodations in completing this application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please direct your inquiries to [email protected]., Artificial Intelligence * Healthtech * Machine Learning * Natural Language Processing * Biotech * Pharmaceutical Build and operate production data pipelines supporting analytics, AI, and agentic workflows. Responsibilities include implementing canonical data models, maintaining Databricks or Snowflake platforms, monitoring reliability, responding to incidents, validating healthcare data mappings, improving performance and cost, and documenting architecture. Requires strong SQL and Python skills, cloud data platform experience, ETL/ELT orchestration expertise, and healthcare or pharmaceutical data experience. Top Skills: Ai/Ml WorkflowsDatabricksEltETLHedisOmopPythonSnowflakeSQL Edmunds

Data Engineer

8 Days Ago Remote or Hybrid USA 125K-159K Annually Mid level 125K-159K Annually Mid level AdTech * Automotive * Big Data * Consumer Web Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility. Top Skills: SparkAWSAws CdkDatabricksInfrastructure As Code (Iac)PythonScalaSQLTerraform, CrowdStrike

• Bachelor’s degree in computer science, engineering or related field
• Minimum of five (5) or more years experience in a data engineering role; management experience a plus.
• Knowledge of data structures, algorithms and programming languages with preference for SQL, Python, and R.
• Experience with PowerBI
• Experience in data engineering, development or analysis
• Experience with Azure platform
• Knowledge of data security and compliance (data encryption; access control; data masking; handling PII safely)
• Proficiency in database systems, tools and frameworks
• Data visualization, communication and presentation skills
• Must possess strong computer skills in MS Office, including Excel, Word, Teams
• Ability to type 45 wpm

Clearance:

• The applicants selected will be subject to a government background investigation and may be required to meet the following conditions of employment.

120K-180K Annually Senior level 120K-180K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance. Top Skills: AIApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Service, Support, Success are the pillars upon which MVM’s founders built the company, and they continue to serve as MVM’s core values. Along with our uncompromising insistence on integrity and ethical business practices, these values make us the service provider of choice for our customers and the employer of choice for our dedicated team members.

Working at MVM, Inc. takes a certain kind of person; we want someone who identifies with our values and is willing to challenge themselves both personally and professionally. We seek employees who are passionate about serving and making a difference in the lives of others.

If you can envision joining a team where you will have the opportunity to provide mission driven results; then we are looking for you!