Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and uphold automated, scalable ETL/ELT data pipelines utilizing Python, SQL, and cloud-based technologies.

• Integrate, transform, and ensure the accuracy of structured and unstructured data from various sources.

• Create and oversee analytics-ready data models and workflows tailored for reporting, self-service analytics, and data science applications.

• Apply GitLab CI/CD methodologies for dependable, version-controlled, and repeatable analytics and data engineering operations.

• Design, develop, and launch interactive dashboards and reports using Tableau, Power BI, or equivalent tools.

• Conduct data mining, cleansing, and manipulation to facilitate statistical analyses, visualizations, and decision-support tools.

• Undertake comprehensive analytical and modeling tasks, including exploratory data analysis, feature engineering, model validation, and documentation.

• Collaborate with data engineers, analysts, software developers, and stakeholders to convert business requirements into data models, pipelines, and visualizations.

• Compile metadata, data dictionaries, and technical documentation.

• Generate both recurring and ad-hoc reports for leadership.

• Address urgent and ad-hoc data requests and contribute to collaborative research and analysis projects.

• Offer 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 discipline.

• Over 5 years of experience in analytics engineering, data engineering, or data analysis, or at least 3 years with a Master’s degree.

• Strong expertise in Python, SQL, and Git/GitLab.

• Proven experience in constructing ETL/ELT pipelines with CI/CD and adhering to data engineering best practices.

• Familiarity with both relational and non-relational databases, including Oracle and PostgreSQL.

• Experience in crafting executive-ready dashboards using Tableau or Power BI.

• Exceptional analytical and problem-solving abilities.

• Capability to analyze large, intricate datasets and convey insights to both technical and non-technical audiences.

• Ability to work independently as well as collaboratively in fast-paced, agile settings.

• Excellent written and verbal communication skills.

• US citizenship is mandatory.

• Must currently hold or be eligible to obtain a Top Secret clearance.

• Must currently hold or be able to secure Public Trust (BI Full 6C (T4)).

• Availability to work outside of standard business hours, including weekends, as necessary.

• Preferred: Experience with Databricks, AWS and other cloud platforms, AI/ML, advanced data modeling, MLOps, Airflow, MLflow, government or regulated data environments, Agile/Scrum methodologies, Jira, mentoring, and analytics standards.

🏝️ Benefits

• Medical plan options, some inclusive of Health Savings Accounts.

• Dental plan options available.

• Vision plan included.

• 401(k) plan with both pre-tax and post-tax contributions along with company matching.

• Full flexible workweeks when feasible.

• Vacation, sick, and personal time off provided.

• Paid holidays offered.

• Paid parental leave available.

• Military leave supported.

• Bereavement leave included.

• Jury duty leave provided.

• New employees receive 15 days of paid leave per calendar year.

• 10 paid holidays annually.

• Eligible employees can access up to 160 hours of paid family leave in a rolling 12-month period.

• Short- and long-term disability benefits offered.

• Life insurance coverage available.

• Accidental death and dismemberment insurance included.

• Personal accident insurance provided.

• Critical illness insurance available.

• Business travel and accident insurance included.

• Fully remote work options available.