Senior Big Data Analyst – Remote Data Engineering & Analytics Specialist at talentflow

About talentflow

Welcome to talentflow, a forward‑thinking technology partner that is redefining how businesses harness data to drive innovation, efficiency, and growth. With a global footprint and a culture rooted in collaboration, curiosity, and continuous learning, talentflow empowers teams to transform raw information into actionable insights that shape tomorrow’s solutions. Whether you’re a seasoned data professional or an emerging talent eager to make an impact, talentflow offers a dynamic, inclusive environment where your ideas matter and your career can flourish.

Position Overview

We are seeking a Senior Big Data Analyst to join our remote analytics squad. In this role, you will be the linchpin between business stakeholders and the data science, AI, and machine learning teams, ensuring that data pipelines, models, and insights are delivered with precision, scalability, and business relevance. You will own the end‑to‑end data lifecycle—from ingestion and transformation to model deployment and monitoring—while collaborating across departments to translate complex business challenges into data‑driven solutions.

Key Responsibilities

• Design, implement, and maintain large‑scale data integration projects that consolidate heterogeneous data sources into unified, high‑quality datasets for analysts, data scientists, and executive leaders.
• Lead cross‑functional teams in applying advanced data engineering practices and tools to build robust data warehouses and lakes, enabling descriptive, predictive, and prescriptive analytics.
• Collaborate closely with product managers, business analysts, and subject‑matter experts to translate business requirements into technical specifications and data models.
• Define and enforce data governance standards, ensuring data quality, lineage, and security across all environments.
• Serve as the primary data steward for key datasets, overseeing data integrity, availability, and performance in self‑service contexts.
• Champion continuous improvement of talentflow’s data science capabilities, staying abreast of emerging technologies, frameworks, and best practices.
• Mentor junior data engineers and analysts, fostering a culture of knowledge sharing and professional growth.
• Perform in‑depth data analysis, statistical modeling, and hypothesis testing to uncover insights that drive business decisions.
• Document data pipelines, architecture diagrams, and analytical workflows to ensure transparency and reproducibility.
• Participate in on‑call rotations and incident response to maintain system reliability and uptime.
• Execute additional duties as assigned by leadership to support talentflow’s strategic objectives.

Essential Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
• 5+ years of experience in data engineering, analytics, or a similar role, with a proven track record of delivering enterprise‑level data solutions.
• Proficiency in at least one programming language commonly used in data pipelines (Python, Scala, or Java).
• Hands‑on experience with open‑source data processing frameworks (Apache Spark, Flink, or Hadoop).
• Strong knowledge of relational and non‑relational data stores (SQL, NoSQL, data lakes).
• Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lakes.
• Solid understanding of data modeling, schema design, and performance tuning.
• Demonstrated ability to translate business requirements into technical solutions.
• Excellent analytical, problem‑solving, and critical‑thinking skills.
• Effective communication skills, capable of presenting complex concepts to both technical and non‑technical audiences.
• Adaptability to a fast‑paced, evolving environment with a proactive, solution‑oriented mindset.

Preferred Qualifications

• Master’s degree or higher in a quantitative discipline.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services (Redshift, BigQuery, Snowflake).
• Knowledge of machine learning pipelines and model deployment frameworks.
• Familiarity with data governance tools and compliance standards (GDPR, CCPA).
• Prior experience in a remote, distributed team setting.
• Certifications in data engineering or cloud technologies.

Core Skills & Competencies

• Data Architecture & Engineering
• ETL/ELT Development
• SQL & NoSQL Databases
• Big Data Technologies (Spark, Hadoop, Flink)
• Cloud Data Services (AWS, Azure, GCP)
• Data Modeling & Normalization
• Performance Tuning & Optimization
• Data Governance & Quality Assurance
• Statistical Analysis & Predictive Modeling
• Project Management & Agile Methodologies
• Strong Written & Verbal Communication
• Team Leadership & Mentorship

Career Growth & Learning Opportunities

At talentflow, your professional development is a top priority. As a Senior Big Data Analyst, you will:

• Lead high‑impact projects that shape talentflow’s data strategy and influence product roadmaps.
• Collaborate with senior data scientists and product leaders, gaining exposure to cutting‑edge AI and machine learning initiatives.
• Participate in internal hackathons, knowledge‑sharing sessions, and cross‑functional workshops.
• Access a curated learning library, including courses on advanced analytics, cloud architecture, and emerging data technologies.
• Earn professional certifications through reimbursed training programs.
• Progress into leadership roles such as Lead Data Engineer, Data Engineering Manager, or Director of Data Science.

Work Environment & Culture

Remote by design, talentflow offers a flexible work schedule that respects work‑life balance while fostering collaboration through:

• Weekly virtual stand‑ups and sprint reviews.
• Dedicated communication channels (Slack, Teams, Zoom).
• Quarterly all‑hands meetings to align on vision and celebrate wins.
• A culture of psychological safety, where ideas are challenged respectfully and feedback is constructive.
• Commitment to diversity, equity, and inclusion, ensuring every team member feels valued.
• Regular virtual social events, wellness challenges, and community service initiatives.

Compensation & Benefits

While the base hourly rate for this role starts at $26/hour, talentflow offers a comprehensive benefits package that includes:

• Competitive salary and performance‑based bonuses.
• Health, dental, and vision insurance plans.
• 401(k) retirement plan with company match.
• Paid time off, sick leave, and flexible vacation policy.
• Employee Assistance Program (EAP) for personal and professional support.
• Stock purchase plan with discounted rates.
• Tuition reimbursement for approved courses and certifications.
• Wellness programs, including gym memberships and mindfulness resources.
• Generous parental leave and family support benefits.
• Opportunities for remote work from any U.S. location, with occasional travel to talentflow headquarters or client sites.

Why talentflow?

Choosing talentflow means joining a team that values curiosity, collaboration, and continuous improvement. You will:

• Work on transformative projects that directly impact millions of customers.
• Be part of a community that celebrates innovation and rewards excellence.
• Enjoy a flexible, remote work model that supports your personal and professional life.
• Benefit from a culture that prioritizes learning, mentorship, and career advancement.

Ready to Make an Impact?

If you are passionate about turning data into strategic advantage and thrive in a collaborative, fast‑moving environment, we want to hear from you. Apply today to become a pivotal member of talentflow’s data engineering family and help shape the future of data‑driven decision making.