Why careerforge?
careerforge is a leading innovator in the health‑care data ecosystem, empowering millions of individuals with secure, reliable, and actionable health information. Our mission is to transform raw data into meaningful insights that improve patient outcomes, streamline provider operations, and drive industry‑wide efficiencies. As a fully remote‑first organization, careerforge offers a vibrant, collaborative environment where talent from across the globe can thrive without geographic constraints. Join us and become part of a purpose‑driven team that is reshaping the future of health‑care analytics.
Position Overview
We are urgently seeking a highly skilled Senior Data Engineer to lead the design, development, and optimization of large‑scale data pipelines and architectures that power careerforge’s analytics platforms. This remote role offers a competitive rate of $50 per hour and a full‑time schedule (8‑hour workday). You will partner with cross‑functional business groups, data scientists, and product owners to translate complex business requirements into robust, scalable data solutions.
Key Responsibilities
- Architect End‑to‑End Data Solutions: Design, build, and maintain data pipelines that ingest, transform, and store data from diverse sources, ensuring high availability and low latency.
- Develop ETL/ELT Processes: Create efficient Extract‑Transform‑Load (ETL) and Extract‑Load‑Transform (ELT) workflows using industry‑standard tools and frameworks.
- Data Modeling & Warehousing: Construct dimensional and relational data models, develop data marts, and implement best‑practice data‑warehouse design patterns.
- Cloud Platform Expertise: Deploy and manage data infrastructure on cloud platforms (Google Cloud Platform preferred; AWS or Azure experience also valued).
- Big Data Technologies: Leverage Hadoop, Hive, Spark, and PySpark to process massive data sets efficiently.
- Collaboration & Communication: Work closely with data science, product, and business teams to understand requirements, provide technical guidance, and ensure data solutions meet business objectives.
- Data Quality & Governance: Implement data validation, monitoring, and lineage tracking to uphold data integrity, security, and compliance standards.
- Performance Optimization: Continuously profile and tune pipelines, queries, and storage solutions for cost‑effective performance at scale.
- Innovation & Research: Stay current with emerging data technologies, evaluate new tools, and propose strategic enhancements to careerforge’s data stack.
- Documentation & Knowledge Sharing: Produce clear technical documentation, conduct code reviews, and mentor junior engineers.
Essential Qualifications
- 5+ years of hands‑on experience designing and implementing complex data pipelines and architectures.
- 5+ years of professional experience with SQL for data extraction, transformation, and analysis.
- 5+ years of professional experience with Python, including libraries such as Pandas, SQLAlchemy, and Airflow.
- Demonstrated expertise with cloud‑based platforms (Google Cloud Platform preferred; AWS or Azure acceptable).
- Strong understanding of data modeling concepts, both relational and dimensional.
- Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
- Proven problem‑solving abilities, critical thinking, and a data‑driven mindset.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with Hadoop, Hive, or PySpark for large‑scale batch processing.
- Familiarity with data visualization tools such as Looker, Tableau, or Power BI.
- Knowledge of healthcare data standards (e.g., HL7, FHIR, HIPAA compliance).
- Exposure to streaming technologies (Kafka, Pub/Sub, Kinesis) for real‑time data ingestion.
- Experience building and maintaining CI/CD pipelines for data engineering workloads.
- Prior work in the health‑care or medical services industry.
Core Skills & Competencies
- Technical Mastery: Proficiency in Python, SQL, and cloud services; ability to write clean, maintainable code.
- Architectural Vision: Ability to design scalable, fault‑tolerant systems that meet both current and future data needs.
- Analytical Thinking: Strong quantitative skills to assess data quality, performance metrics, and cost implications.
- Collaboration: Comfortable working in a distributed, remote environment with diverse, cross‑functional teams.
- Adaptability: Quick to learn new technologies and adapt to evolving business requirements.
- Leadership: Mentorship mindset, capable of guiding junior engineers and fostering a culture of continuous improvement.
Career Growth & Learning Opportunities
At careerforge, your professional development is a top priority. As a Senior Data Engineer, you will have access to:
- Continuous Learning Stipends: Annual budget for certifications, conferences, and online courses.
- Mentorship Programs: Pairing with senior architects and data science leaders to broaden your expertise.
- Leadership Pathways: Clear tracks toward Lead Engineer, Data Architecture Manager, or Director of Data Engineering.
- Innovation Labs: Dedicated time each quarter to experiment with emerging technologies (e.g., Snowflake, Databricks, AI‑driven data cataloging).
- Cross‑Domain Exposure: Opportunities to collaborate with product, compliance, and clinical teams, deepening your understanding of the health‑care ecosystem.
Work Environment & Culture at careerforge
careerforge embraces a remote‑first culture that values flexibility, autonomy, and results. Our core cultural pillars include:
- Purpose‑Driven Impact: Every line of code you write contributes to better health outcomes for millions.
- Inclusivity & Belonging: Diverse perspectives are celebrated; we foster an environment where every voice is heard.
- Transparency: Open communication channels, regular all‑hands updates, and clear visibility into company goals.
- Work‑Life Harmony: Flexible scheduling, generous paid time off, and mental‑health resources.
- Recognition & Rewards: Performance‑based bonuses, peer‑recognition programs, and milestone celebrations.
Compensation, Perks & Benefits
While the base rate for this role is $50 per hour, careerforge offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- Retirement savings plan with company matching contributions.
- Paid parental leave and family‑care assistance.
- Annual professional development stipend.
- Home office allowance (ergonomic chair, monitor, high‑speed internet subsidy).
- Employee assistance program (EAP) for counseling and wellness support.
- Virtual team‑building events, hackathons, and community outreach initiatives.
How to Apply
If you are a motivated data professional ready to shape the future of health‑care analytics, we want to hear from you. Submit your resume, a concise cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your data engineering expertise.
Ready to Join careerforge?
Take the next step in your career and become a catalyst for change in the health‑care data landscape. Apply today and help us turn data into life‑changing insights.
Apply for this job