Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $127.5k - $172.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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 for reporting, self-service analytics, and data science use cases • Implement GitLab CI/CD practices for reliable, versioned, repeatable analytics and data engineering processes • Design, develop, and deploy interactive dashboards and reports using Tableau, Power BI, or similar tools • Perform data mining, cleaning, and manipulation to support statistical analyses, visualizations, and decision-support tools • Conduct end-to-end analytical and modeling work, including 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 • Compile metadata, data dictionaries, and technical documentation • Produce recurring and ad-hoc reports for leadership • Respond to urgent and ad-hoc data requests and support collaborative research and analysis projects • Provide technical guidance and mentorship on analytics best practices, Python scripting, data modeling, and workflow automation

🎯 Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field • 5+ years of experience in analytics engineering, data engineering, or data analysis, or 3+ years with a Master’s • 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 a Top Secret clearance • Must currently possess or be able to obtain Public Trust (BI Full 6C (T4)) • May be required to work outside business hours, including weekends, based on need • Preferred: Experience with Databricks, AWS and other cloud platforms, AI/ML, advanced data modeling, MLOps, Airflow, MLflow, government or regulated data environments, Agile/Scrum, Jira, mentoring, and analytics standards

🏖️ Benefits

• Medical plan options, some 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 • Paid holidays • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • 15 days of paid leave per calendar year for new employees • 10 paid holidays per year • 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 • Fully remote work