Analytics Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $127.5k - $172.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

infoinfo

👻 Ghost score 0%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of General Dynamics Information Technology

General Dynamics Information Technology

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 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

• 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

• 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

Apply Now

Similar Jobs

🔥 14 hours ago

Horizon3.ai

51 - 200

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Senior Product Analytics Engineer building governed product data systems for Horizon3’s autonomous cybersecurity platform. Creating ELT pipelines, semantic models, and certified product analytics.

🔥 16 hours ago

Mercury

1001 - 5000

💳 Fintech

🏦 Banking

☁️ SaaS

Senior Analytics Engineer building scalable data pipelines and AI-native analytics foundations at Mercury, a fintech company. Supporting agentic tooling, self-service analytics, governance, and data products.

🔥 17 hours ago

LangChain

11 - 50

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Analytics Engineer building dbt and BigQuery data infrastructure for LangChain’s AI agent platform. Enabling self-serve analytics, KPI dashboards, and insights into customer health, adoption, and revenue.

🇺🇸 United States – Remote

💵 $140k - $180k / year

💰 $25M Series A on 2024-02

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🔥 18 hours ago

Nimble Gravity

51 - 200

💼 Consulting

📣 Marketing

📦 Logistics

Analytics Engineer building Snowflake data models, pipelines, and semantic layers for Nimble Gravity’s financial-institution clients. Enabling reliable AI agents and measurable business outcomes through client-facing delivery.

🔥 18 hours ago

Fleetio

51 - 200

📦 Logistics

💼 Consulting

🚗 Transport

Senior Analytics Engineer shaping Fleetio’s fleet-management data platform. Building dbt models, semantic layers, dashboards, and AI-enabled analytics solutions.