Analytics Engineer

General Dynamics Information Technology

. Design, build, and maintain automated, scalable ETL/ELT data pipelines using Python, SQL, and cloud-based tools .

Posted 10/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $127,500 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining automated ETL/ELT data pipelines using Python and SQL, while effectively collaborating with cross-functional teams to deliver analytics-ready data models and visualizations. Proficient in utilizing tools like Tableau and Power BI for dashboard creation and implementing CI/CD practices for data workflows.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyETL/ELT Pipeline DevelopmentTableau Dashboard CreationGitLab CI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData ModelingData AnalysisData CleaningData TransformationFeature PreparationModel ValidationExploratory Data AnalysisWorkflow AutomationMetadata Management

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationMentorship

Tools & Technologies

DatabricksTableauPower BIGitGitLabOraclePostgreSQL

Certifications & Qualifications

Public Trust ClearanceTop Secret Clearance

Industry Keywords

Data EngineeringAnalytics EngineeringData AnalysisAgile EnvironmentsExecutive Reporting

Tech Stack

Tools & technologies

CloudETLOraclePostgresPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain automated, scalable ETL/ELT data pipelines using Python, SQL, and cloud-based tools
Integrate, transform, and validate structured and unstructured data from diverse sources
Develop and manage analytics-ready data models and workflows in Databricks or similar platforms
Implement GitLab CI/CD practices for data workflows
Design, develop, and deploy interactive dashboards and reports using Tableau, Power BI, or similar tools
Perform data mining, cleaning, and manipulation using SQL and Python
Conduct exploratory data analysis, feature preparation, model validation, and documentation
Collaborate with data engineers, analysts, software developers, and stakeholders to translate business requirements into data models, pipelines, and visualizations
Maintain metadata, data dictionaries, and technical documentation
Produce recurring and ad-hoc reports for leadership
Respond to urgent and ad-hoc data requests
Support collaborative research and analysis projects across program areas
Provide technical guidance and mentorship on analytics best practices, Python scripting, data modeling, and workflow automation

Requirements

What you’ll need

Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, with 5+ years of experience (or 3+ years with a Master's) in analytics engineering, data engineering, or data analysis
Strong proficiency in Python, SQL, Git/GitLab
Experience building ETL/ELT pipelines with CI/CD and data engineering best practices
Experience with relational and non-relational databases, such as Oracle and PostgreSQL
Experience creating executive-ready dashboards using Tableau or Power BI
Strong analytical and problem-solving skills
Ability to analyze large, complex datasets and communicate insights to technical and non-technical stakeholders
Ability to work independently and collaboratively in fast-paced, agile environments
Excellent written and verbal communication skills
US citizenship required
Must currently possess or be able to obtain Public Trust (BI Full 6C (T4)); Top Secret clearance must be able to be obtained
Ability to work outside business hours, including weekends, based on need

Benefits

Comp & perks

Medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with pre-tax and post-tax contributions and company match
Full flex work weeks where possible
Vacation, sick, and personal time off
Paid holidays
Paid parental leave
Military leave
Bereavement leave
Jury duty leave
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance