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About talentbridge – A Global Leader in Financial Innovation
talentbridge is a world‑renowned financial services powerhouse that empowers millions of customers every day with cutting‑edge payment solutions, travel benefits, and digital experiences. Our mission is to deliver the world’s best customer experience through relentless innovation, data‑driven decision making, and a culture that celebrates diversity, inclusion, and continuous learning. As a remote‑first organization with a strong presence in Phoenix, USA, talentbridge offers a flexible work environment that balances high performance with personal well‑being.
Why This Role Matters
As a Senior Data Engineer at talentbridge, you will be at the heart of our data ecosystem, shaping the way massive volumes of transactional, travel, and customer data are collected, stored, and transformed. Your work will directly influence product strategy, risk management, and the seamless experiences our members expect from a leading financial brand.
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, cleanse, and enrich high‑velocity data from diverse sources such as APIs, streaming platforms, and batch feeds.
- Collaborate with data architects, analysts, and product owners to translate business requirements into scalable data models and logical schemas.
- Implement and optimize both OLTP and OLAP solutions, ensuring high availability, low latency, and cost‑effective storage.
- Lead the creation of a comprehensive data catalog, documenting data lineage, metadata, and governance policies to support self‑service analytics.
- Perform performance tuning of SQL queries, stored procedures, and ETL jobs across relational (PostgreSQL, MySQL, IBM DB2, Netezza) and MPP platforms (Hive, Spark, Snowflake).
- Develop automated testing frameworks for data quality, integrity, and security, leveraging tools such as Great Expectations and dbt.
- Mentor junior engineers, conduct code reviews, and champion best practices in data engineering, DevOps, and CI/CD pipelines.
- Stay abreast of emerging technologies—Apache Hadoop, Kafka, MemSQL, and cloud‑native services—to continuously evolve talentbridge’s data architecture.
- Support the migration of legacy data warehouses to modern cloud data platforms, ensuring minimal disruption to business operations.
- Participate in cross‑functional agile ceremonies, providing technical insights that drive sprint planning and delivery excellence.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related STEM field (Master’s preferred).
- Minimum 2 years of hands‑on experience building and tuning relational database management systems (RDBMS).
- At least 2 years of experience with OLTP/OLAP system design, performance optimization, and capacity planning.
- Demonstrated expertise in translating complex business requirements into logical and physical data models.
- Proficiency in SQL, PL/SQL, and scripting languages such as Python for data manipulation and automation.
- Experience with ETL/ELT tools and frameworks (e.g., Apache NiFi, Airflow, Informatica) and a solid understanding of data pipeline orchestration.
- Strong knowledge of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
- Ability to work remotely up to three days per week while maintaining effective communication with on‑site teams.
Preferred Qualifications & Additional Expertise
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
- Hands‑on experience with Massive Parallel Processing (MPP) platforms such as Hive, Spark, or Snowflake.
- Familiarity with big‑data ecosystems, including Hadoop, Apache Spark, and distributed file systems.
- Exposure to data streaming technologies like Apache Kafka and real‑time processing frameworks.
- Knowledge of data governance, lineage tools, and metadata management solutions.
- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools (Terraform, CloudFormation).
- Certification in data engineering (e.g., Google Professional Data Engineer, AWS Certified Data Analytics).
Core Skills & Competencies
- Technical Acumen: Deep understanding of relational and NoSQL databases, data modeling, and performance tuning.
- Problem Solving: Ability to diagnose complex data issues, propose innovative solutions, and implement them efficiently.
- Collaboration: Strong communication skills to partner with cross‑functional teams, translate technical concepts, and influence stakeholders.
- Agile Mindset: Comfortable working in Scrum or Kanban environments, delivering incremental value each sprint.
- Security Awareness: Knowledge of data privacy regulations (GDPR, CCPA) and best practices for data encryption and masking.
- Continuous Learning: Passion for staying current with emerging data technologies and industry trends.
Career Growth & Learning Opportunities
talentbridge invests heavily in the professional development of its engineers. As a Senior Data Engineer, you will have access to:
- Mentorship programs pairing you with senior architects and industry experts.
- Sponsored certifications and tuition reimbursement for advanced degrees.
- Internal hackathons, data‑science challenges, and innovation labs to showcase your ideas.
- Clear promotion pathways—from Senior Engineer to Lead Architect, and eventually to Director of Data Engineering.
- Opportunities to work on high‑impact projects that influence global product strategy and customer experience.
Work Environment & Culture at talentbridge
Our culture is built on the pillars of inclusion, respect, and empowerment. At talentbridge you will experience:
- A hybrid remote model that allows you to work from home up to three days a week, fostering work‑life balance.
- Inclusive employee resource groups (ERGs) that celebrate diversity of thought, background, and identity.
- Regular “All‑Hands” sessions where leadership shares company vision, performance metrics, and future roadmaps.
- Transparent feedback loops, quarterly performance reviews, and a culture of continuous improvement.
- State‑of‑the‑art collaboration tools (Slack, Microsoft Teams, Confluence) that keep remote teams connected.
Compensation, Perks & Benefits
talentbridge offers a competitive hourly rate of $20‑$30 per hour, complemented by a comprehensive benefits package designed to support your physical, financial, and mental well‑being.
- Base salary with performance‑based bonuses.
- 6% company match on 401(k) retirement savings plans.
- Free financial planning and wealth‑management counseling.
- Medical, dental, vision, life, and disability insurance coverage.
- Generous paid parental leave – 20+ weeks for all parents, including adoption and surrogacy.
- Access to on‑site wellness centers (where available) and virtual health resources.
- Employee assistance programs, mental‑health days, and flexible PTO policies.
- Learning stipend for conferences, courses, and certifications.
- Employee discount programs and exclusive travel perks.
How to Apply
If you are ready to shape the future of data at a leading financial services organization, we want to hear from you. Click the link below to submit your application and join talentbridge’s mission‑driven team of innovators.
Apply Now – Senior Data Engineer (Remote)
Closing Statement
talentbridge believes that great ideas come from diverse perspectives and that every employee deserves a platform to thrive. By joining our team, you will not only advance your technical career but also contribute to a culture that values integrity, collaboration, and impact. Take the next step in your journey—apply today and become a catalyst for data‑driven excellence at talentbridge.
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