Why careerforge?
At careerforge, we are more than a global leader in athletic performance and lifestyle innovation – we are a community of creators, problem‑solvers, and dreamers who push the limits of what’s possible. Our mission is to empower every individual to unleash their full potential, whether on the track, in the office, or from the comfort of their own home. With a culture that celebrates diversity, encourages bold ideas, and rewards imagination, careerforge offers a dynamic environment where technology meets purpose. As a remote‑first organization, we provide the flexibility you need to thrive while delivering world‑class products that inspire millions worldwide.
Position Overview
We are seeking a highly motivated Remote Senior Data Engineer to join our fast‑growing data platform team. In this role, you will design, build, and maintain robust data pipelines that ingest, transform, and deliver massive volumes of information to power analytics, machine learning, and business intelligence across careerforge. You will collaborate closely with product owners, data analysts, and engineering leads to translate business requirements into scalable technical solutions that run on Amazon Web Services (AWS) and open‑source big‑data ecosystems.
Key Responsibilities
- Architect & Develop End‑to‑End Data Pipelines: Design distributed processing workflows using Spark, Hive, and Hadoop that move terabytes of data daily.
- Leverage Cloud Services: Build, configure, and optimize AWS resources such as EMR, S3, Lambda, and Redshift to ensure high availability and cost efficiency.
- Implement Automation & CI/CD: Create reusable Terraform/CloudFormation templates, integrate pipelines with Jenkins or GitHub Actions, and enforce automated unit and integration testing.
- Collaborate with Cross‑Functional Teams: Partner with product owners, data scientists, and business analysts to understand data needs and deliver reliable data products.
- Maintain Data Quality & Governance: Develop validation frameworks, monitor data health, and perform root‑cause analysis for data anomalies.
- Evaluate Emerging Technologies: Stay current with the latest big‑data tools (e.g., Databricks, Apache Airflow, Flink) and recommend strategic adoption.
- Mentor Junior Engineers: Provide technical guidance, code reviews, and knowledge‑sharing sessions to elevate the entire team’s skill set.
- Document Solutions: Produce clear architecture diagrams, runbooks, and technical documentation for internal and external stakeholders.
Essential Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Minimum of 2 years of hands‑on experience building large‑scale data pipelines in a production environment.
- Proficiency with at least one programming language commonly used in data engineering (Python, Scala, or Java).
- Deep understanding of the Hadoop ecosystem: Spark, Hive, HDFS, and MapReduce.
- Extensive experience with AWS services, especially EMR, S3, Glue, Lambda, and Redshift.
- Solid grasp of data modeling, ETL/ELT best practices, and data warehousing concepts.
- Familiarity with workflow orchestration tools such as Apache Airflow or Prefect.
- Experience implementing CI/CD pipelines and automated testing for data workloads.
- Strong problem‑solving abilities, with a track record of troubleshooting complex data issues.
- Excellent communication skills and the ability to work effectively in a remote, distributed team.
Preferred Qualifications
- Hands‑on experience with Databricks, Snowflake, or other modern cloud data platforms.
- Knowledge of containerization technologies (Docker, Kubernetes) for data workloads.
- Exposure to machine‑learning pipelines and feature‑store concepts.
- Professional certifications such as AWS Certified Data Analytics – Specialty or Google Cloud Professional Data Engineer.
- Previous experience in the sports, apparel, or consumer‑goods industry.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data processing frameworks, cloud infrastructure, and programming languages.
- Analytical Mindset: Ability to translate ambiguous business problems into concrete data solutions.
- Collaboration: Comfortable partnering with product, analytics, and engineering teams across time zones.
- Adaptability: Thrive in a fast‑moving environment where priorities shift and new technologies emerge.
- Ownership: Take end‑to‑end responsibility for data products, from design through production monitoring.
- Continuous Learning: Commitment to staying ahead of industry trends and sharing knowledge with peers.
Career Growth & Learning Opportunities
careerforge invests heavily in the professional development of its people. As a Senior Data Engineer, you will have access to:
- Annual education stipend for conferences, certifications, or advanced coursework.
- Mentorship programs pairing you with senior leaders in data science, product, and engineering.
- Internal hackathons and innovation labs where you can prototype new ideas.
- Clear promotion pathways—from Senior Engineer to Lead Engineer, and eventually to Data Architecture Manager.
- Opportunities to work on high‑impact projects that directly influence global product strategies.
Work Environment & Culture at careerforge
Our remote‑first philosophy means you can work from anywhere in the United States (excluding a few states due to regulatory constraints). We foster a culture built on:
- Inclusivity: Employee Resource Groups (ERGs) celebrate diverse backgrounds and perspectives.
- Wellness: Comprehensive health, dental, and vision plans, plus wellness allowances for fitness or mindfulness apps.
- Flexibility: Flexible hours, generous paid time off, and parental leave to support work‑life harmony.
- Recognition: Regular awards, spot bonuses, and public acknowledgment of outstanding contributions.
- Community Impact: Participation in sustainability initiatives and volunteer programs aligned with careerforge’s commitment to a better world.
Compensation, Perks & Benefits
While the exact salary will be competitive and commensurate with experience, the role offers a base rate of $27 per hour plus performance‑based incentives. Additional benefits include:
- Health, dental, and vision insurance with low employee contributions.
- 401(k) plan with company match and optional Roth contributions.
- Paid holidays, sick leave, and vacation days.
- Employee discount program for careerforge products and apparel.
- Tuition assistance for eligible courses and degree programs.
- Remote work stipend covering home‑office setup, internet, and coworking space access.
- Travel assistance for occasional on‑site meetings, conferences, or team retreats.
- Comprehensive mental‑health resources, including an Employee Assistance Program (EAP).
How to Apply
If you are passionate about turning massive data streams into actionable insights, thrive in a collaborative remote setting, and want to contribute to a brand that inspires athletes and innovators worldwide, we want to hear from you. Submit your resume, a brief cover letter highlighting 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 part of a forward‑thinking team that values creativity, impact, and personal growth. Click the button below to apply now and start your journey with careerforge today!
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