Why talentedge?
At talentedge, we are redefining the future of financial services through data‑driven innovation. Our global footprint spans continents, yet we maintain a tight‑knit, collaborative culture that empowers every employee to make a tangible impact. As a leader in the industry, talentedge invests heavily in cutting‑edge technologies, continuous learning, and a supportive environment where diversity of thought fuels breakthrough solutions. Whether you are a seasoned data professional or an ambitious newcomer, you will find a place where your ideas are heard, your growth is championed, and your contributions shape the experiences of millions of customers worldwide.
Position Overview
We are urgently seeking a highly skilled Remote Senior Data Engineer to join our dynamic data team. In this role, you will design, build, and optimize large‑scale data pipelines, data warehouses, and analytical platforms that power critical business decisions across talentedge. You will collaborate with product managers, data scientists, and business stakeholders to translate complex requirements into robust, scalable solutions that meet the highest standards of performance, security, and reliability.
Key Responsibilities
- Data Architecture & Modeling: Design logical and physical data models that align with business objectives, ensuring seamless integration with existing data structures and future‑proofing for growth.
- ETL/ELT Development: Build, test, and maintain high‑throughput ETL pipelines using tools such as Apache Airflow, Spark, and custom Python/SQL scripts.
- Big Data Platform Management: Administer and optimize MPP (Massively Parallel Processing) environments, including Hadoop, Hive, Spark, and cloud‑native data lakes.
- Performance Tuning: Conduct query optimization, index strategy, and partitioning to achieve sub‑second response times for mission‑critical analytics.
- Data Quality & Governance: Implement data profiling, validation, and lineage tracking to guarantee accuracy, consistency, and compliance with regulatory standards.
- Collaboration & Documentation: Work closely with cross‑functional teams to gather requirements, produce technical specifications, and maintain comprehensive documentation.
- Mentorship & Knowledge Sharing: Guide junior engineers, lead code reviews, and champion best practices in data engineering across the organization.
- Continuous Improvement: Evaluate emerging technologies, propose architectural enhancements, and drive automation to increase efficiency and reduce operational overhead.
Essential Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related STEM field.
- Experience: Minimum 2 years of hands‑on experience designing and optimizing relational databases (RDBMS) and 2 years with OLTP/OLAP systems.
- Big Data Expertise: Proven experience (2 + years) with Hadoop ecosystem tools (Hive, Spark, Kafka) and MPP platforms such as Netezza, Redshift, or Snowflake.
- Programming & Scripting: Proficiency in Python, SQL, PL/SQL, and familiarity with shell scripting on Linux environments.
- ETL Tools: Direct experience with ETL frameworks (Informatica, Talend, Apache Sqoop) and data integration patterns.
- Data Modeling: Strong grasp of dimensional modeling, star/snowflake schemas, and data vault techniques.
- Analytical Mindset: Ability to translate ambiguous business problems into concrete data solutions.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non‑technical audiences.
Preferred Qualifications & Nice‑to‑Have Skills
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
- Experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
- Familiarity with containerization (Docker, Kubernetes) for data workloads.
- Knowledge of data security frameworks (encryption, masking, GDPR, CCPA).
- Hands‑on exposure to machine‑learning pipelines and feature stores.
- Certification in data engineering (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data).
Core Skills & Competencies
- Problem Solving: Systematic approach to diagnosing performance bottlenecks and designing elegant solutions.
- Collaboration: Ability to work across distributed teams, often across time zones, while maintaining clear documentation.
- Adaptability: Comfort with fast‑changing priorities and emerging technologies in a high‑growth environment.
- Attention to Detail: Rigorous testing and validation to ensure data integrity and compliance.
- Leadership: Proactive mentorship and the drive to elevate the technical capabilities of the entire data organization.
Compensation, Perks & Benefits
talentedge offers a competitive hourly rate ranging from $20–$30 per hour**, commensurate with experience and expertise. In addition to base pay, you will enjoy a comprehensive benefits package designed to support your physical, financial, and mental well‑being:
- Generous health, dental, vision, and life insurance plans with low employee contributions.
- 401(k) retirement plan with a 6 % company match and access to financial wellness resources.
- Paid parental leave of 20+ weeks, inclusive of adoption, surrogacy, and LGBTQ+ families.
- Flexible remote‑work policy – up to three days per week from home, with a fully equipped home‑office stipend.
- Continuous learning allowance for certifications, conferences, and online courses.
- Employee assistance program, mental‑health counseling, and wellness workshops.
- Annual performance bonuses tied to individual and company milestones.
- Access to on‑site wellness centers (where applicable) and virtual fitness classes.
Career Growth & Learning Opportunities
At talentedge, your career trajectory is limited only by your ambition. As a Senior Data Engineer, you will:
- Lead high‑visibility projects that directly influence product strategy and customer experience.
- Participate in a structured mentorship program, both as a mentor and mentee.
- Gain exposure to cutting‑edge technologies such as real‑time streaming analytics, AI‑driven data cataloging, and serverless data pipelines.
- Collaborate with senior leadership on data governance initiatives and strategic roadmaps.
- Transition into roles such as Data Architecture Lead, Platform Engineering Manager, or Director of Data Engineering as you demonstrate impact.
Work Environment & Culture at talentedge
Our culture is built on three pillars: Inclusion, Innovation, and Impact. We celebrate diverse perspectives, encourage curiosity, and reward results. Key cultural highlights include:
- Inclusive Community: Employee resource groups, regular town‑halls, and transparent communication channels ensure every voice is heard.
- Innovation Labs: Dedicated time each quarter for engineers to experiment with new tools, publish proofs of concept, and contribute to open‑source projects.
- Recognition Programs: Peer‑nominated awards, spot bonuses, and public acknowledgment of outstanding contributions.
- Work‑Life Harmony: Flexible scheduling, generous PTO, and a results‑oriented mindset that values output over hours logged.
Application Process
If you are passionate about turning massive data sets into actionable insights, thrive in a remote‑first environment, and want to be part of a forward‑thinking organization, we want to hear from you. The application journey is straightforward:
- Submit your updated resume and a concise cover letter highlighting relevant projects.
- Complete a technical assessment focused on SQL optimization and data pipeline design.
- Participate in a virtual interview series covering technical depth, problem‑solving approach, and cultural fit.
- Receive a prompt decision and, if selected, an onboarding plan tailored to your career goals.
Join talentedge Today
At talentedge, you will be recognized for your expertise, your collaborative spirit, and the measurable impact you deliver. Together, we will continue to set the standard for exceptional customer experiences, powered by world‑class data engineering. Take the next step in your career—apply now and become a catalyst for data‑driven transformation.
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