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Why talentflow?
talentflow is a fast‑growing leader in the aviation and travel technology space, delivering innovative solutions that keep millions of passengers connected, safe, and satisfied every day. Our mission is to transform the way people experience air travel through data‑driven insights, cutting‑edge automation, and a relentless focus on customer delight. With a culture built on collaboration, continuous learning, and a genuine respect for work‑life balance, talentflow has earned a reputation as an employer of choice for top‑tier talent who want to make a tangible impact on a global industry.
Position Overview
We are seeking a highly motivated Senior Data Engineer to join our Remote Data Entry & Analytics team. In this role, you will own the end‑to‑end data pipeline that powers critical business decisions across the organization. You will design, build, and maintain robust data ingestion, transformation, and storage solutions using AWS, SQL, and modern data‑engineering best practices. This is a fully remote, full‑time opportunity with a competitive hourly rate of $25, immediate start, and the chance to work alongside some of the brightest minds in the industry.
Key Responsibilities
- Data Acquisition & Integration: Collect massive, complex data sets from internal systems, third‑party vendors, and public sources, ensuring data quality, consistency, and compliance with privacy regulations.
- Pipeline Architecture: Design and implement scalable, fault‑tolerant ETL/ELT pipelines on AWS (e.g., Glue, Lambda, Step Functions) that move terabytes of data daily with minimal latency.
- Data Modeling & Storage: Build and maintain normalized and denormalized data models in Amazon Redshift, Snowflake, or PostgreSQL, optimizing for query performance and cost efficiency.
- Automation & Optimization: Identify manual, repetitive processes and automate them using scripting, orchestration tools, and CI/CD pipelines, reducing operational overhead by at least 30%.
- Collaboration: Partner closely with product, engineering, finance, and operations teams to translate business requirements into technical specifications and deliver actionable insights.
- Performance Monitoring: Develop dashboards and alerts to monitor data pipeline health, latency, and data quality, proactively addressing issues before they impact downstream users.
- Documentation & Governance: Produce clear, comprehensive documentation for data schemas, lineage, and processing logic, supporting auditability and regulatory compliance.
- Mentorship: Provide technical guidance and mentorship to junior engineers and analysts, fostering a culture of knowledge sharing and continuous improvement.
- Innovation: Stay abreast of emerging data technologies and industry trends, recommending and piloting new tools that could enhance talentflow’s data capabilities.
- Ad‑hoc Projects: Contribute to cross‑functional initiatives, such as data‑driven product enhancements, predictive modeling, and strategic reporting.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience).
- Minimum 5 years of hands‑on experience designing and operating large‑scale data pipelines in a cloud environment, preferably AWS.
- Proficiency in SQL and at least one programming language commonly used for data engineering (Python, Java, or Scala).
- Deep understanding of relational databases, data warehousing concepts, and data modeling techniques.
- Experience with data orchestration tools such as Apache Airflow, AWS Step Functions, or Prefect.
- Strong analytical mindset with the ability to translate ambiguous business problems into concrete data solutions.
- Excellent communication skills, both written and verbal, enabling you to convey complex technical concepts to non‑technical stakeholders.
- U.S. citizenship or valid work authorization in the United States; sponsorship is not available.
- Ability to work independently in a remote setting while maintaining high levels of productivity and collaboration.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Hands‑on experience with big‑data technologies such as Apache Spark, Hadoop, or Kafka.
- Familiarity with data‑visualization tools (Tableau, Looker, Power BI) and the ability to create self‑service analytics for business users.
- Knowledge of data‑privacy regulations (GDPR, CCPA) and best practices for secure data handling.
- Previous experience in the aviation, travel, or transportation industry.
- Certifications such as AWS Certified Data Analytics – Specialty or Google Professional Data Engineer.
Core Skills & Competencies
- Problem Solving: Ability to dissect complex issues, identify root causes, and devise scalable solutions.
- Critical Thinking: Evaluate trade‑offs between performance, cost, and maintainability when designing pipelines.
- Attention to Detail: Spot inconsistencies or anomalies in data early, preventing downstream errors.
- Collaboration: Work effectively across multidisciplinary teams, respecting diverse perspectives.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and processes.
- Leadership: Guide junior team members, champion best practices, and influence technical direction.
Career Growth & Learning Opportunities
talentflow invests heavily in employee development. 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 architects and product leaders.
- Internal hack‑days and innovation labs where you can prototype new ideas.
- Clear promotion pathways to Lead Data Engineer, Data Architecture Manager, or Director of Data Strategy.
- Cross‑functional rotation options to broaden your expertise into product management or analytics.
Work Environment & Culture at talentflow
Our remote‑first philosophy means you can work from anywhere in the United States (excluding a few restricted states). We provide:
- State‑of‑the‑art collaboration tools (Slack, Microsoft Teams, Miro) to keep you connected.
- Flexible scheduling that respects personal commitments and time zones.
- A culture of psychological safety where ideas are welcomed and feedback is constructive.
- Regular virtual social events, wellness challenges, and community service initiatives.
- Transparent leadership communication through monthly town halls and quarterly business reviews.
Compensation, Perks & Benefits
talentflow offers a competitive compensation package that reflects your expertise and the value you bring:
- Hourly Rate: $25 per hour, paid bi‑weekly.
- Performance Bonuses: Quarterly bonuses tied to individual and team outcomes.
- Health & Wellness: Comprehensive medical, dental, and vision coverage for you and eligible dependents.
- Retirement Savings: 401(k) plan with company match up to 5% of salary.
- Paid Time Off: Generous PTO accrual, paid holidays, and additional paid leave for volunteering.
- Travel Benefits: Discounted or complimentary flight vouchers for personal travel and for immediate family members.
- Employee Stock Purchase Plan (ESPP): Opportunity to purchase talentflow stock at a discounted rate.
- Learning & Development: Access to online learning platforms (LinkedIn Learning, Coursera) and internal knowledge‑sharing sessions.
- Employee Assistance Program (EAP): Confidential counseling, legal, and financial resources.
- Wellness Programs: Virtual fitness classes, mindfulness workshops, and ergonomic home‑office stipends.
How to Apply
If you are passionate about turning raw data into strategic advantage, love solving intricate technical challenges, and thrive in a remote, collaborative environment, we want to hear from you. Follow these steps to submit your application:
- Prepare an up‑to‑date resume highlighting relevant data‑engineering projects and technologies.
- Write a concise cover letter explaining why talentflow’s mission resonates with you and how your experience aligns with the responsibilities outlined above.
- Include links to any public repositories, portfolio sites, or technical blogs that showcase your work.
- Submit your application through the talentflow careers portal (link provided below). Our recruiting team will review your submission and reach out within 5‑7 business days.
Take the Next Step
Are you ready to join a forward‑thinking organization where your data expertise will shape the future of travel? Apply now and become a pivotal part of talentflow’s success story. We look forward to welcoming you to our dynamic, inclusive, and high‑performing team.
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